[{"data":1,"prerenderedAt":1226},["ShallowReactive",2],{"categories-init":3,"stack-anythingllm-self-hosted":4,"stack-res-anythingllm-self-hosted":1225},true,{"stack_id":5,"slug":6,"name":7,"tagline":8,"long_description":9,"key_features":10,"use_cases":17,"pros":23,"cons":28,"cover_image_url":33,"scores":34,"options":49,"additions":684,"addition_groups":979,"option_groups":995,"multi_select_option_types":1001,"tools_by_category":1002,"related_stacks":1101,"faqs":1170,"pricing":1186,"system_requirements":1205,"experience_level":1106,"project_type":1140,"stack_type_slug":1108,"stack_type_icon_url":1109,"published_date":108,"last_updated_date":108,"seo_meta":1221},250,"anythingllm-self-hosted","AnythingLLM Self-Hosted","A private AI workspace for your team: chat with your documents and run agents on your own server, with a local model or the one you choose.","AnythingLLM is a self-hosted AI workspace built around retrieval: each workspace gets its own uploaded documents, vector settings, and model, so one deployment can hold separate knowledge bases for different teams or clients, with chat, agents, and an embeddable chat widget on top. **The Docker version is the multi-user one**: the free desktop app serves a single person, and AnythingLLM Cloud hosts a private instance for $50 a month and up. Self-hosting it is free under the MIT license and keeps documents, conversations, and stored provider keys on infrastructure you administer, and with a local model nothing has to leave your network at all.\n\nThe official image runs **one container** on port 3001 with a storage directory mounted from the host. That directory holds everything: the SQLite database with users, workspaces, and chats, the built-in LanceDB vector store, uploaded documents, the cached embedding model, agent skills, and the .env file with settings and keys. A PostgreSQL build of the image stores the same data in a database you run instead. AnythingLLM itself needs 2 GB of RAM and a 2-core CPU with AVX2, which the built-in vector store requires, so a small server is enough for the app.\n\n**The model is the heavy part.** The stack defaults to a local runtime, Ollama, and AnythingLLM's docs advise running it on a separate machine with a graphics card when the app server has none, since a model needs many times the memory AnythingLLM does. The container reaches it by address, using host.docker.internal when both run on one machine, and the same settings page switches the system or a single workspace to a hosted model. Watch the token limit: AnythingLLM uses up to 16,384 tokens of an Ollama model's context unless you set it higher, and only 4,096 for a runtime added through its Generic OpenAI provider, which cuts long documents short.\n\n**A fresh instance is open to anyone who can reach it.** Turn on password protection or multi-user mode before publishing it, then put a reverse proxy with TLS in front of port 3001, or install it from a self-hosted PaaS template that brings its own proxy and generates the secrets. The official cloud templates serve plain HTTP on port 3001, so they need the same steps. Anonymous telemetry is on by default and turns off with one setting. A tunnel is the alternative when nothing on the server may accept inbound traffic.",[11,12,13,14,15,16],"AnythingLLM in one official Docker container, with its database, built-in vector store, and documents in one storage directory","Workspaces with their own documents, vector settings, and model, for separate knowledge bases in one deployment","A local model runtime by default (Ollama, LM Studio, llama.cpp, or vLLM), switchable per workspace","Multi-user mode with admin, manager, and default roles","Agents with built-in skills and MCP server support, plus an embeddable chat widget and a developer API","MIT-licensed, with no paid edition gating features",[18,19,20,21,22],"A private ChatGPT-style assistant for a team, answering from the company's own documents","Separate knowledge bases per client or department in one deployment","Chat over sensitive documents with a local model, so nothing leaves your network","A document-aware chat widget embedded in an internal site","Trying local and hosted models side by side on the same documents",[24,25,26,27],"One container and a small server run the app; the model is a separate, swappable piece","MIT-licensed with no feature gating, branding condition, or user-count threshold","Workspace isolation makes several knowledge bases in one deployment straightforward","Works with local runtimes and hosted providers alike, set per workspace",[29,30,31,32],"A fresh instance is open to anyone who reaches it until a password or multi-user mode is set","A local model needs a graphics card or far more memory than the app, usually a second machine","The CPU must support AVX2, or the built-in vector store fails to start","Multi-user mode can't be turned back into single-user mode once enabled",null,{"popularity":35,"learning_curve":38,"flexibility":41,"performance":44,"portability":47},{"score":36,"reasoning":37},4,"One of the most widely used self-hosted AI chat applications, with a large GitHub following and a desktop app that brought many people to local models. Known well among people building private AI setups, less so among developers at large.",{"score":39,"reasoning":40},2,"One container, a guided first-run setup, and a settings page for every provider make the app easy to stand up. The extra steps are protection, since a fresh instance is open, and the model runtime, which brings its own hardware and context-window settings.",{"score":42,"reasoning":43},5,"Dozens of model providers, local and hosted, a choice of vector databases, two database engines, and per-workspace models and settings, plus agents with MCP and a developer API. 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It is the most widely deployed database in the world, used in every smartphone and countless applications.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fsqlite.svg","white",{"slug":69,"display_name":70,"description":71},"open_source","Open Source","Source code is publicly available and free to use, modify, and distribute. 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It suits a single server well, and a backup is a copy of the storage directory. It also means one container per deployment, since SQLite can't be shared between instances.","Through AnythingLLM's pg image, which stores all of its data in a PostgreSQL database set with DATABASE_URL and uses pgvector there for document vectors by default. The database needs the pgvector extension installed. Pick it when the team already backs up and operates PostgreSQL, or wants the data in a managed database. The choice is made at install, since moving from the SQLite file later means a data migration.",{},{"kind":149,"slug":77,"name":76,"href":150},"category","\u002Ftools\u002Fcategories\u002Fdatabases",{"name":33,"tools":152,"descriptions":153,"aliases":154,"see_all":33},[],{},{},{"name":33,"tools":156,"descriptions":157,"aliases":158,"see_all":33},[],{},{},{"name":33,"tools":160,"descriptions":161,"aliases":162,"see_all":33},[],{},{},{"name":164,"tools":165,"descriptions":288,"aliases":293,"see_all":294},"Model Inference",[166,207,237,262],{"tool_id":167,"name":168,"slug":169,"tooltip_description":170,"logo_url":171,"logo_bg":67,"pricing_model":172,"learning_curve_score":72,"popularity_score":42,"hosting_assignment_type":116,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":176,"subcategory":180,"categories":184,"subcategories":186,"flexibility_score":42,"performance_score":36,"portability_score":42,"is_featured":87,"tags":188,"score_reasonings":199,"published_date":205,"last_updated_date":206},210,"Ollama","ollama","The most widely used way to run open-weight LLMs locally — one command downloads and serves models like Llama, Qwen, DeepSeek, GLM, and MiniMax through an OpenAI-compatible API, with an optional paid Ollama Cloud tier for larger models than local hardware can handle.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Follama.svg",{"slug":173,"display_name":174,"description":175},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",{"category_id":177,"name":178,"slug":179},21,"AI Infrastructure","ai-infrastructure",{"subcategory_id":181,"name":182,"slug":183},60,"AI Runtime & Serving","ai-runtime-serving",[185],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[187],{"subcategory_id":181,"name":182,"slug":183,"category_id":177,"is_primary":3,"display_order":84},[189,190,191,195],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},13,"Free Tier","free-tier",{"tag_id":196,"name":197,"slug":198,"tag_type":92},16,"AI-powered","ai-powered",{"learning_curve":200,"flexibility":201,"performance":202,"popularity":203,"portability":204},"A single install command and a single command to pull and run a model make it the lowest-friction way to try a local LLM, with no configuration required to get started.","100+ supported models, an OpenAI-compatible API for drop-in tooling reuse, and both local and cloud execution modes give it very broad applicability across workflows.","Automatic hardware tuning and support for the latest open-weight models keep it competitive for local inference, though it is not purpose-built for high-throughput production serving the way dedicated inference servers are.","The most widely used local LLM runtime by a clear margin, with 178K+ GitHub stars, 52 million monthly downloads, and 2.5 billion+ cumulative downloads.","MIT-licensed, runs on macOS, Windows, and Linux across Apple Silicon, NVIDIA, and AMD hardware, and models are entirely self-hosted with no forced cloud dependency.","2026-09-27","2026-09-28",{"tool_id":208,"name":209,"slug":210,"tooltip_description":211,"logo_url":212,"logo_bg":114,"pricing_model":213,"learning_curve_score":72,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":214,"subcategory":215,"categories":216,"subcategories":218,"flexibility_score":36,"performance_score":36,"portability_score":36,"is_featured":87,"tags":220,"score_reasonings":231,"published_date":143,"last_updated_date":143},299,"LM Studio","lm-studio","Desktop app for downloading and running open-weight language models locally on macOS, Windows, and Linux, with a chat interface and a local OpenAI-compatible API server. It is free for personal and work use.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flm-studio.png",{"slug":173,"display_name":174,"description":175},{"category_id":177,"name":178,"slug":179},{"subcategory_id":181,"name":182,"slug":183},[217],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[219],{"subcategory_id":181,"name":182,"slug":183,"category_id":177,"is_primary":3,"display_order":84},[221,222,223,227],{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},"Machine Learning","machine-learning","use_case",{"tag_id":228,"name":229,"slug":230,"tag_type":100},43,"Cross-platform","cross-platform",{"learning_curve":232,"flexibility":233,"performance":234,"popularity":235,"portability":236},"A graphical installer, in-app model search, and automatic quantization choices mean a first local model runs within minutes without touching a terminal or config file.","Serves any GGUF or MLX model through OpenAI- and Anthropic-compatible APIs, SDKs, a CLI, and a headless daemon, with MCP tools and remote access through LM Link, though engine internals are not open for modification.","MLX on Apple Silicon and llama.cpp elsewhere give fast single-user inference for the hardware, while throughput for many simultaneous requests is well below datacenter engines such as vLLM.","One of the two default answers, alongside Ollama, whenever someone asks how to run an LLM locally, with a large user base on Mac and Windows beyond professional developers.","Runs on all three desktop operating systems, uses open model formats from Hugging Face, and exposes standard APIs, so models and client code move freely to Ollama or vLLM.",{"tool_id":238,"name":239,"slug":240,"tooltip_description":241,"logo_url":242,"logo_bg":67,"pricing_model":243,"learning_curve_score":45,"popularity_score":36,"hosting_assignment_type":116,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":244,"subcategory":245,"categories":246,"subcategories":248,"flexibility_score":42,"performance_score":36,"portability_score":42,"is_featured":87,"tags":250,"score_reasonings":255,"published_date":261,"last_updated_date":33},303,"llama.cpp","llama-cpp","Open-source C\u002FC++ engine that runs GGUF language and vision models on CPUs, Apple Silicon, and consumer GPUs. Its llama-server binary serves them through an OpenAI-compatible API with a built-in web UI.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fllama-cpp.svg",{"slug":69,"display_name":70,"description":71},{"category_id":177,"name":178,"slug":179},{"subcategory_id":181,"name":182,"slug":183},[247],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[249],{"subcategory_id":181,"name":182,"slug":183,"category_id":177,"is_primary":3,"display_order":84},[251,252,253,254],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":228,"name":229,"slug":230,"tag_type":100},{"learning_curve":256,"flexibility":257,"performance":258,"popularity":259,"portability":260},"A one-line install and `llama serve -hf` get a model running in minutes, but getting the most out of it means picking a quantization, learning offload and context flags, and sometimes compiling for a specific GPU backend.","Exposes nearly every inference parameter, runs as a CLI, a server, or an embedded library, serves several models through router mode, and speaks both OpenAI and Anthropic API formats.","Best-in-class speed for single-user inference on consumer hardware and Apple Silicon, though batched multi-user throughput on GPU servers trails engines built for it, such as vLLM.","Around 130K GitHub stars and the engine behind much of the local AI ecosystem, well known to anyone running models locally, while developers who only call hosted APIs rarely use it directly.","MIT-licensed with no dependencies, runs on macOS, Windows, Linux, and Android across every major GPU vendor and plain CPUs, and GGUF files work in any compatible runtime.","2026-10-02",{"tool_id":263,"name":264,"slug":265,"tooltip_description":266,"logo_url":267,"logo_bg":114,"pricing_model":268,"learning_curve_score":36,"popularity_score":36,"hosting_assignment_type":116,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":269,"subcategory":270,"categories":271,"subcategories":273,"flexibility_score":42,"performance_score":42,"portability_score":42,"is_featured":87,"tags":275,"score_reasonings":282,"published_date":143,"last_updated_date":33},298,"vLLM","vllm","Open-source, high-throughput inference and serving engine for large language models, exposing an OpenAI-compatible API. It is the most common way to self-host open-weight models in production on GPU and accelerator clusters.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fvllm.svg",{"slug":69,"display_name":70,"description":71},{"category_id":177,"name":178,"slug":179},{"subcategory_id":181,"name":182,"slug":183},[272],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[274],{"subcategory_id":181,"name":182,"slug":183,"category_id":177,"is_primary":3,"display_order":84},[276,279,280,281],{"tag_id":72,"name":277,"slug":278,"tag_type":130},"Python","python",{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"learning_curve":283,"flexibility":284,"performance":285,"popularity":286,"portability":287},"Starting a server is one command, but running it well in production means understanding GPU memory, KV-cache sizing, quantization, and multi-GPU parallelism, plus the Kubernetes layer around it.","Serves hundreds of model architectures with configurable quantization, parallelism, LoRA adapters, structured outputs, and speculative decoding, and can be embedded as a Python library or run as a server.","PagedAttention and continuous batching set the throughput bar that other open-source engines are measured against, and the V1 engine cut scheduling overhead further.","Around 93K GitHub stars and the engine underneath many hosted inference services, so anyone self-hosting models knows it, while developers who only call hosted APIs rarely touch it directly.","Apache-2.0, runs on GPUs and accelerators from several vendors, installs anywhere Python or Docker runs, and exposes a standard OpenAI-style API.",{"ollama":289,"lm-studio":290,"llama-cpp":291,"vllm":292},"The default and AnythingLLM's most common local runtime: select Ollama as the provider with its base URL, http:\u002F\u002Fhost.docker.internal:11434 when both run on one machine or the GPU machine's address otherwise, and pick a pulled model. AnythingLLM reads each model's context length from Ollama and uses up to 16,384 tokens of it, so raise the token limit for long documents when the graphics card has memory to spare, and raise the response timeout from its five-minute default on slow hardware. Ollama can also serve the embedding model in place of the built-in one.","A desktop app with a local server on port 1234 that AnythingLLM connects to through its LM Studio provider, with an optional auth token. It fits a team whose model runs on a workstation or a Mac with plenty of memory on the same network, and it lets someone compare models in a graphical browser before settling on one. A desktop app is the wrong home for a model the whole team depends on all day.","The lightest runtime: llama.cpp's server exposes an OpenAI-compatible API that AnythingLLM reaches through its Generic OpenAI provider, with the \u002Fv1 address, the model name, and the token limit, which falls back to 4,096 when left empty. It runs one model on a CPU or a modest graphics card with very little overhead, and there is no model library or download manager, so you fetch the GGUF file yourself.","For a GPU server that answers many people at once: AnythingLLM's Generic OpenAI provider points at vLLM's \u002Fv1 address with its API key. Batched serving keeps response times steady when a whole team asks questions at the same time, which single-user runtimes don't. vLLM serves one model per server; vLLM Inference Server is a stack of its own.",{},{"kind":295,"slug":183,"name":182,"href":296},"subcategory","\u002Ftools\u002Fcategories\u002Fai-infrastructure\u002Fai-runtime-serving",{"name":33,"tools":298,"descriptions":299,"aliases":300,"see_all":33},[],{},{},{"name":33,"tools":302,"descriptions":303,"aliases":304,"see_all":33},[],{},{},{"name":33,"tools":306,"descriptions":307,"aliases":308,"see_all":33},[],{},{},{"name":33,"tools":310,"descriptions":311,"aliases":312,"see_all":33},[],{},{},{"name":33,"tools":314,"descriptions":315,"aliases":316,"see_all":33},[],{},{},{"name":318,"tools":319,"descriptions":527,"aliases":535,"see_all":536},"Hosting",[320,352,377,415,439,468,501],{"tool_id":321,"name":322,"slug":323,"tooltip_description":324,"logo_url":325,"logo_bg":67,"pricing_model":326,"learning_curve_score":39,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":330,"subcategory":333,"categories":337,"subcategories":339,"flexibility_score":45,"performance_score":36,"portability_score":36,"is_featured":87,"tags":341,"score_reasonings":346,"published_date":107,"last_updated_date":205},52,"Hetzner","hetzner","German cloud and dedicated server provider offering VPS, bare-metal servers, and storage at prices far below the big clouds, with data centers in the EU, the US, and Singapore.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fhetzner.svg",{"slug":327,"display_name":328,"description":329},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"category_id":42,"name":331,"slug":332},"Hosting & Cloud","hosting-cloud",{"subcategory_id":334,"name":335,"slug":336},42,"VPS & Servers","vps-and-servers",[338],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[340],{"subcategory_id":334,"name":335,"slug":336,"category_id":42,"is_primary":3,"display_order":84},[342,343],{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":177,"name":344,"slug":345,"tag_type":92},"Multi-region","multi-region",{"learning_curve":347,"flexibility":348,"performance":349,"portability":350,"popularity":351},"Standard VPS setup; any developer comfortable with Linux can deploy in an afternoon.","Standard VPS; configure anything on Linux; no managed abstraction layer constraining choices.","Competitive hardware at low cost; dedicated and VPS servers deliver strong baseline performance.","Standard Linux VPS; highly portable with no managed-service abstraction to escape.","Popular among European developers and cost-conscious teams; strong reputation for value.",{"tool_id":353,"name":354,"slug":355,"tooltip_description":356,"logo_url":357,"logo_bg":67,"pricing_model":358,"learning_curve_score":39,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":359,"subcategory":360,"categories":361,"subcategories":363,"flexibility_score":45,"performance_score":45,"portability_score":45,"is_featured":87,"tags":365,"score_reasonings":371,"published_date":107,"last_updated_date":205},169,"Hostinger","hostinger","Affordable web hosting with shared, cloud, and agency plans plus KVM VPS, on LiteSpeed servers with NVMe storage and the beginner-friendly hPanel control panel.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fhostinger.svg",{"slug":327,"display_name":328,"description":329},{"category_id":42,"name":331,"slug":332},{"subcategory_id":334,"name":335,"slug":336},[362],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[364],{"subcategory_id":334,"name":335,"slug":336,"category_id":42,"is_primary":3,"display_order":84},[366,367],{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"tag_id":368,"name":369,"slug":370,"tag_type":226},28,"Web Development","web-development",{"learning_curve":372,"flexibility":373,"performance":374,"popularity":375,"portability":376},"Shared hosting on Hostinger is genuinely beginner-accessible — hPanel, one-click WordPress, and the Kodee AI assistant reduce the complexity of common tasks to a few clicks. VPS plans require Linux and SSH familiarity to get full value, but the guided setup and AI assistant lower the barrier compared to raw VPS providers like Hetzner.","Shared hosting is intentionally constrained — you run within Hostinger's stack and cannot change the server environment. VPS plans give full root access and can run any Linux workload. The range from shared to VPS covers most beginner-to-intermediate deployment needs, but there is no managed Kubernetes, serverless, or edge compute option.","LiteSpeed with NVMe SSD and built-in caching delivers strong performance for shared hosting — independent benchmarks show sub-1-second load times and 99.96%+ uptime on shared plans. KVM VPS performance is competitive for the price. Not at the level of dedicated cloud providers like DigitalOcean or Hetzner for compute-intensive workloads.","Hostinger is one of the top three most-recommended budget hosts globally, with over 3 million customers and a 4.7\u002F5 Trustpilot score. It dominates beginner and bootstrapper audiences and appears consistently in 'best cheap hosting' roundups. Less visible in developer-tool and startup-stack communities compared to cloud-native platforms.","Shared hosting creates moderate lock-in via hPanel and Hostinger-specific tooling, though WordPress sites can be migrated via standard exports. VPS instances are standard KVM Linux — fully portable to any other VPS provider. No proprietary runtime or framework dependencies on the VPS side.",{"tool_id":378,"name":379,"slug":380,"tooltip_description":381,"logo_url":382,"logo_bg":67,"pricing_model":383,"learning_curve_score":39,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":387,"subcategory":388,"categories":392,"subcategories":394,"flexibility_score":36,"performance_score":36,"portability_score":36,"is_featured":87,"tags":396,"score_reasonings":409,"published_date":107,"last_updated_date":205},166,"DigitalOcean","digitalocean","Developer-focused cloud platform offering VPS (Droplets), managed Kubernetes, App Platform PaaS, and managed databases. Known for simple pricing and excellent documentation.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdigitalocean.svg",{"slug":384,"display_name":385,"description":386},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",{"category_id":42,"name":331,"slug":332},{"subcategory_id":389,"name":390,"slug":391},41,"App Hosting","app-hosting",[393],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[395],{"subcategory_id":389,"name":390,"slug":391,"category_id":42,"is_primary":3,"display_order":84},[397,398,399,403,404,408],{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":400,"name":401,"slug":402,"tag_type":92},20,"Auto-scaling","auto-scaling",{"tag_id":177,"name":344,"slug":345,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},24,"Docker Compatible","docker-compatible",{"tag_id":368,"name":369,"slug":370,"tag_type":226},{"learning_curve":410,"flexibility":411,"performance":412,"popularity":413,"portability":414},"DigitalOcean is specifically designed for developers rather than enterprise ops teams. The control panel is clean, Droplets launch in under 60 seconds, and App Platform requires no infrastructure knowledge at all. Thousands of community tutorials lower the barrier for beginners.","Offers VPS, PaaS, and managed Kubernetes under one roof, covering most deployment patterns from simple static sites to complex microservices. Custom networking, firewalls, VPC peering, and a full API give teams significant control. Missing serverless functions and some niche managed services limit the ceiling slightly.","NVMe SSDs and dedicated vCPU Droplets deliver competitive single-tenant performance. The 99.99% uptime SLA holds in practice per benchmark studies. Lacks the global edge network density of Cloudflare or the ultra-low-latency primitives of AWS.","Consistently ranks in the top 5 cloud providers for developer and startup usage. Strong presence on StackOverflow, Reddit, and developer surveys. Over 600,000 active customers as of 2024. Widely used as a first production cloud by self-taught developers.","Standard Linux VMs and Docker\u002FKubernetes workloads migrate freely to any other cloud or bare metal. No proprietary runtime lock-in. Spaces is S3-compatible. App Platform lock-in is higher — migrating away requires containerizing or adapting the build pipeline.",{"tool_id":416,"name":417,"slug":418,"tooltip_description":419,"logo_url":420,"logo_bg":67,"pricing_model":421,"learning_curve_score":39,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":422,"subcategory":423,"categories":424,"subcategories":426,"flexibility_score":36,"performance_score":36,"portability_score":45,"is_featured":87,"tags":428,"score_reasonings":433,"published_date":107,"last_updated_date":205},53,"Railway","railway","Modern PaaS for deploying apps, databases, and workers. Git-based deployment with infrastructure as code approach.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Frailway.svg",{"slug":384,"display_name":385,"description":386},{"category_id":42,"name":331,"slug":332},{"subcategory_id":389,"name":390,"slug":391},[425],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[427],{"subcategory_id":389,"name":390,"slug":391,"category_id":42,"is_primary":3,"display_order":84},[429,430,431,432],{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":400,"name":401,"slug":402,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"learning_curve":434,"performance":435,"portability":436,"flexibility":437,"popularity":438},"Git-push deploys work out of the box; most apps go live with zero configuration.","Container-based deployment mirrors the underlying cloud infrastructure performance.","Docker-based deployment is reasonably portable; switching to another host is manageable.","Dockerfile-based; supports any language, framework, and service composition.","Growing popularity for simple deployments; well-regarded in indie developer communities.",{"tool_id":440,"name":441,"slug":442,"tooltip_description":443,"logo_url":444,"logo_bg":67,"pricing_model":445,"learning_curve_score":72,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":446,"subcategory":447,"categories":448,"subcategories":450,"flexibility_score":45,"performance_score":45,"portability_score":45,"is_featured":87,"tags":452,"score_reasonings":462,"published_date":107,"last_updated_date":205},168,"Render","render","Fully managed cloud platform with Git-push deployments, managed Postgres, static sites, background workers, and cron jobs, all from one dashboard without writing infrastructure code.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Frender.svg",{"slug":173,"display_name":174,"description":175},{"category_id":42,"name":331,"slug":332},{"subcategory_id":389,"name":390,"slug":391},[449],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[451],{"subcategory_id":389,"name":390,"slug":391,"category_id":42,"is_primary":3,"display_order":84},[453,454,455,456,460,461],{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"tag_id":400,"name":401,"slug":402,"tag_type":92},{"tag_id":457,"name":458,"slug":459,"tag_type":92},23,"Git-based","git-based",{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":368,"name":369,"slug":370,"tag_type":226},{"learning_curve":463,"flexibility":464,"performance":465,"popularity":466,"portability":467},"Render is among the most beginner-accessible deployment platforms available. No Dockerfile, no CLI, no YAML — connect a repo, and the platform builds and deploys automatically. The dashboard is clean and self-explanatory. Developers new to cloud deployment consistently cite Render as the easiest on-ramp to production hosting.","Covers the standard web app deployment pattern well: HTTP services, workers, cron, databases, and static sites. Docker is supported, and private networking is first-class. However the platform does not offer managed Kubernetes, GPU machines, or fine-grained infrastructure control. Advanced networking, multi-region active-active, and custom VM configurations are out of scope.","Flat-rate VMs with up to 32 GB RAM and 8 CPUs are available for demanding workloads, and zero-downtime deploys keep services live during updates. The free tier's 30–50 second cold start after inactivity is a significant limitation for demos and hobby projects, but paid tiers are always-on. Performance is competitive for a PaaS but not benchmark-leading.","Render is the most commonly cited Heroku replacement in developer communities as of 2026. It appears regularly in Reddit discussions, dev tooling newsletters, and startup stack comparisons. Growth has been strong since Heroku removed its free tier in 2022, though it remains smaller than Railway in developer mindshare.","Workloads on Render can be containerised and moved to any Docker-compatible host with modest effort. Managed Postgres exports standard pg_dump files. However the per-service model and render.yaml configuration are Render-specific; migrating a multi-service app requires translating cron, worker, and networking config into a new platform's conventions.",{"tool_id":469,"name":470,"slug":471,"tooltip_description":472,"logo_url":473,"logo_bg":114,"pricing_model":474,"learning_curve_score":36,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":475,"subcategory":476,"categories":479,"subcategories":481,"flexibility_score":42,"performance_score":42,"portability_score":45,"is_featured":87,"tags":483,"score_reasonings":495,"published_date":107,"last_updated_date":205},50,"Amazon Web Services","aws","World's largest cloud platform with 200+ services. Market leader in infrastructure as a service (IaaS) and platform as a service (PaaS).","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Faws.png",{"slug":384,"display_name":385,"description":386},{"category_id":42,"name":331,"slug":332},{"subcategory_id":97,"name":477,"slug":478},"Cloud Providers","cloud-providers",[480],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[482],{"subcategory_id":97,"name":477,"slug":478,"category_id":42,"is_primary":3,"display_order":84},[484,488,489,490,491],{"tag_id":485,"name":486,"slug":487,"tag_type":92},14,"Serverless","serverless",{"tag_id":400,"name":401,"slug":402,"tag_type":92},{"tag_id":177,"name":344,"slug":345,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":492,"name":493,"slug":494,"tag_type":226},36,"CI\u002FCD","ci-cd",{"learning_curve":496,"flexibility":497,"performance":498,"portability":499,"popularity":500},"Vast service catalog; IAM, VPC, and networking alone can take months to master.","Hundreds of composable services with full IaC support; virtually unlimited architectural freedom.","Global infrastructure; EC2, Lambda, and CloudFront deliver performance at any scale.","Broad API surface and proprietary services create meaningful lock-in; migration is possible but costly.","Market-leading cloud provider; used by the majority of production deployments globally.",{"tool_id":502,"name":503,"slug":504,"tooltip_description":505,"logo_url":506,"logo_bg":114,"pricing_model":507,"learning_curve_score":45,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":508,"subcategory":509,"categories":510,"subcategories":512,"flexibility_score":42,"performance_score":42,"portability_score":45,"is_featured":87,"tags":514,"score_reasonings":521,"published_date":107,"last_updated_date":205},51,"Google Cloud Platform","gcp","Google's cloud platform with strong data, analytics, AI, and Kubernetes capabilities. The third-largest cloud provider, after AWS and Azure.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgcp.svg",{"slug":384,"display_name":385,"description":386},{"category_id":42,"name":331,"slug":332},{"subcategory_id":97,"name":477,"slug":478},[511],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[513],{"subcategory_id":97,"name":477,"slug":478,"category_id":42,"is_primary":3,"display_order":84},[515,516,517,518,519,520],{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":485,"name":486,"slug":487,"tag_type":92},{"tag_id":400,"name":401,"slug":402,"tag_type":92},{"tag_id":177,"name":344,"slug":345,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"learning_curve":522,"flexibility":523,"performance":524,"portability":525,"popularity":526},"Slightly more approachable than AWS; BigQuery and Cloud Run have excellent documentation.","Deep service catalog; Cloud Run, GKE, and BigQuery combine freely for any architecture.","BigQuery's columnar engine handles petabyte queries in seconds; Cloud Run scales fast.","Similar to AWS; proprietary managed services create meaningful switching costs.","Strong in data and AI workloads; second or third cloud by market share in most segments.",{"hetzner":528,"hostinger":529,"digitalocean":530,"railway":531,"render":532,"aws":533,"gcp":534},"The default. A shared-vCPU server with 2 vCPUs and 4 GB of RAM costs about €19 a month and runs AnythingLLM with room for its built-in embedder and vector store; its x86 CPUs support the AVX2 instructions the vector store needs. That server can run only small models slowly on its CPU, so point AnythingLLM at Ollama on a machine with a graphics card, such as one you own or Hetzner's GPU servers from about €214 a month. Install Docker, mount the storage directory, and set a password before publishing anything.","The budget entry. The KVM 2 plan has 2 vCPUs, 8 GB of RAM, and 100 GB of NVMe at $8.99 a month on a two-year term, $14.99 at the standard rate, double what AnythingLLM needs, and enough to try a small quantized model on the CPU next to it, slowly. The cheaper KVM 1 has a single vCPU, below the 2-core minimum. Root access is full and the panel adds weekly backups; TLS and the password are your job.","AnythingLLM maintains a Terraform template that creates a Droplet running the container, served over plain HTTP on port 3001, so a password and a proxy for HTTPS still come after it. The template's default is the 2 GB Droplet at $18 a month, AnythingLLM's floor; the 4 GB Basic Droplet with 2 vCPUs at $24 covers the app with headroom. DigitalOcean also rents GPU Droplets, which can host the model runtime near the app when a team has no hardware of its own.","A container platform with a one-click template linked from AnythingLLM's README, using the Railway build of the image. TLS ends at the platform, so the reverse proxy or PaaS choice doesn't apply, but the instance still needs a password before it is shared. Attach a volume at the storage directory, or the database and documents go with each redeploy. Memory is billed at about $10 per GB a month on top of the $5 Hobby plan, so the app lands around $25. There is no GPU here, so the model runs elsewhere or is a hosted one.","A container platform with a Deploy to Render button in AnythingLLM's README, built from the render branch and the Render build of the image. AnythingLLM's 2 GB floor means the Standard instance, $25 a month, plus a persistent disk for the storage directory, which also keeps the service to a single instance. TLS ends at the platform, so the reverse proxy or PaaS choice doesn't apply. Render has no GPUs, so pair it with a remote runtime or a hosted model.","AnythingLLM's own CloudFormation template creates one EC2 instance with a 10 GiB volume and serves the app over plain HTTP on port 3001, so a password, a domain, and HTTPS are still to add. Its default t3.small has 2 GB, AnythingLLM's floor; a t3.medium with 2 vCPUs and 4 GB costs about $30 a month on demand. Bedrock is one of AnythingLLM's model providers, so a team on AWS can keep model calls in the same account, and GPU instances can host a runtime for local models.","AnythingLLM's GCP template creates a Compute Engine VM, but its defaults need changing: an n1-standard-1 has a single vCPU, below the 2-core minimum, it uses Ubuntu 20.04, and it opens no firewall rule for port 3001. Pick a machine with 2 vCPUs and a current image instead, about $25 to $40 a month left on, and allow the port only from your own addresses. Vertex AI is one of AnythingLLM's model providers, so a team on Google Cloud can keep hosted models in the same project.",{},{"kind":149,"slug":332,"name":331,"href":537},"\u002Ftools\u002Fcategories\u002Fhosting-cloud",{"name":539,"tools":540,"descriptions":618,"aliases":622,"see_all":33},"Reverse Proxy",[541,570,594],{"tool_id":542,"name":543,"slug":544,"tooltip_description":545,"logo_url":546,"logo_bg":67,"pricing_model":547,"learning_curve_score":45,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":548,"subcategory":551,"categories":555,"subcategories":557,"flexibility_score":36,"performance_score":36,"portability_score":42,"is_featured":87,"tags":559,"score_reasonings":564,"published_date":205,"last_updated_date":33},189,"Traefik","traefik","A cloud-native reverse proxy that auto-discovers routes from Docker container labels, updating its configuration 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Caddy's flat config file, especially for anyone unfamiliar with label-driven tooling.","Native providers for Docker, Kubernetes, Swarm, Consul, and ECS plus a composable middleware system cover most container-routing scenarios, though its module ecosystem is narrower than NGINX's after two decades of third-party extensions.","Built in Go with an efficient routing engine, it performs comparably to Caddy for typical self-hosted and mid-scale container workloads.","It's the de facto reverse proxy for the Docker\u002FKubernetes self-hosting community and powers routing inside Coolify and Dokploy, with a large and actively growing GitHub following, though still behind NGINX's decades-long install base.","MIT licensed, ships as a single binary and official Docker image, and runs identically across any VPS, Kubernetes cluster, or cloud provider with no lock-in.",{"tool_id":571,"name":572,"slug":573,"tooltip_description":574,"logo_url":575,"logo_bg":114,"pricing_model":576,"learning_curve_score":72,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":577,"subcategory":578,"categories":579,"subcategories":581,"flexibility_score":45,"performance_score":36,"portability_score":42,"is_featured":87,"tags":583,"score_reasonings":588,"published_date":205,"last_updated_date":108},188,"Caddy","caddy","A modern web server and reverse proxy written in Go, best known for provisioning and renewing HTTPS certificates automatically with zero configuration.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcaddy.svg",{"slug":69,"display_name":70,"description":71},{"category_id":79,"name":549,"slug":550},{"subcategory_id":552,"name":553,"slug":554},[580],{"category_id":79,"name":549,"slug":550,"is_primary":3,"display_order":84},[582],{"subcategory_id":552,"name":553,"slug":554,"category_id":79,"is_primary":3,"display_order":84},[584,585,586,587],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":589,"flexibility":590,"performance":591,"popularity":592,"portability":593},"A working reverse proxy with HTTPS is typically a few lines of Caddyfile, and automatic certificate provisioning removes the TLS setup step entirely, making it one of the easiest reverse proxies to get running for the first time.","The Caddyfile and JSON config cover most reverse-proxy and static-serving needs well, but its plugin ecosystem and edge-case module coverage are considerably smaller than NGINX's after two decades of third-party modules.","Built in Go with a modern, concurrent architecture and native HTTP\u002F3 support, it performs well for typical self-hosted and small-to-mid traffic workloads, though it hasn't accumulated NGINX's extreme-scale benchmark track record.","It's a well-known, growing choice in the self-hosted community specifically for its automatic-HTTPS pitch, but its adoption and star count remain well behind NGINX's decades-long dominance.","Apache 2.0 licensed, distributed as a single static binary with an official Docker image, and runs identically on any VPS or OS with zero vendor lock-in.",{"tool_id":595,"name":596,"slug":597,"tooltip_description":598,"logo_url":599,"logo_bg":114,"pricing_model":600,"learning_curve_score":45,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":601,"subcategory":602,"categories":603,"subcategories":605,"flexibility_score":42,"performance_score":42,"portability_score":42,"is_featured":87,"tags":607,"score_reasonings":612,"published_date":205,"last_updated_date":33},187,"NGINX","nginx","The most widely deployed web server and reverse proxy on the internet, known for event-driven performance under high concurrency.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fnginx.svg",{"slug":173,"display_name":174,"description":175},{"category_id":79,"name":549,"slug":550},{"subcategory_id":552,"name":553,"slug":554},[604],{"category_id":79,"name":549,"slug":550,"is_primary":3,"display_order":84},[606],{"subcategory_id":552,"name":553,"slug":554,"category_id":79,"is_primary":3,"display_order":84},[608,609,610,611],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":613,"flexibility":614,"performance":615,"popularity":616,"portability":617},"Basic reverse-proxy blocks are simple to copy-paste, but real production setups (upstream health checks, TLS automation, rewrite rules, rate limiting) require understanding NGINX's directive-based config language in depth, and there's no built-in automatic HTTPS to lean on.","A vast module ecosystem and a fully declarative config language let it act as a reverse proxy, load balancer, cache, static file server, or WAF front-end, with third-party modules covering nearly any edge case.","Its event-driven, non-blocking architecture was purpose-built to solve the C10k problem, and it remains a top performer in every major reverse-proxy benchmark for throughput and memory efficiency under concurrent load.","It has been the most widely deployed web server on the public internet for years, appears in essentially every stack survey, and has the largest surrounding tutorial and community knowledge base of any web server.","The open-source core is free, packaged for every OS and as an official Docker image, and runs identically on any VPS or cloud provider with no vendor lock-in.",{"traefik":619,"caddy":620,"nginx":621},"The family default: it discovers the AnythingLLM container from Docker labels and renews certificates itself, with one router for port 3001. Raise the response timeouts, because streamed answers from a slow local model can run for minutes and a proxy that cuts them breaks the chat, and raise the upload size limit so people can add large documents. Set the password or multi-user mode before the router goes live.","Automatic HTTPS from one site block that forwards to port 3001, with streamed answers passed through as they arrive and generous default timeouts for slow models. The simplest route from the official cloud templates' plain HTTP to a proper domain with TLS. Turn on password protection or multi-user mode before the address is shared.","The proxy many servers already run. Turn proxy_buffering off so streamed answers aren't held back, raise proxy_read_timeout past the 60-second default for slow local models, and raise client_max_body_size, whose 1 MB default rejects most document uploads. Forward the Upgrade and Connection headers for the app's websocket connections.",{},{"name":624,"tools":625,"descriptions":680,"aliases":683,"see_all":33},"Self-Hosted PaaS",[626,654],{"tool_id":627,"name":628,"slug":629,"tooltip_description":630,"logo_url":631,"logo_bg":114,"pricing_model":632,"learning_curve_score":45,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":633,"subcategory":634,"categories":637,"subcategories":639,"flexibility_score":36,"performance_score":45,"portability_score":42,"is_featured":87,"tags":641,"score_reasonings":648,"published_date":205,"last_updated_date":108},183,"Coolify","coolify","Open-source, self-hostable PaaS that brings a Heroku\u002FVercel-style git-push deploy workflow to your own server.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcoolify.svg",{"slug":69,"display_name":70,"description":71},{"category_id":42,"name":331,"slug":332},{"subcategory_id":635,"name":624,"slug":636},56,"self-hosted-paas",[638],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[640],{"subcategory_id":635,"name":624,"slug":636,"category_id":42,"is_primary":3,"display_order":84},[642,643,644,645,646,647],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":457,"name":458,"slug":459,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":649,"flexibility":650,"performance":651,"popularity":652,"portability":653},"Deploying a simple app is a git-push away once Coolify is installed, but getting there requires provisioning and SSH-connecting a server first, and troubleshooting still touches Docker and Linux server concepts that a fully managed PaaS abstracts away entirely.","Supports Nixpacks, Dockerfiles, and Docker Compose directly, plus 280+ one-click services, making it capable of hosting nearly anything that runs in a container — bounded mainly by what the underlying server's resources can handle.","There is no platform-level performance ceiling of its own; a deployment's speed and headroom are a direct function of the VPS or hardware Coolify is installed on, which can range from a budget €4\u002Fmonth instance to a large dedicated server.","A fast-growing, well-starred open-source project with strong traction in the self-hosting and indie-hacker community, though it remains a niche choice relative to mainstream managed PaaS platforms like Railway, Render, or Vercel.","Apache 2.0 licensed and built entirely on standard Docker tooling with no proprietary runtime — a Coolify-managed deployment can be moved to a different server (or off Coolify entirely, back to raw Docker Compose) with minimal friction.",{"tool_id":655,"name":656,"slug":657,"tooltip_description":658,"logo_url":659,"logo_bg":114,"pricing_model":660,"learning_curve_score":39,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":661,"subcategory":662,"categories":663,"subcategories":665,"flexibility_score":36,"performance_score":45,"portability_score":42,"is_featured":87,"tags":667,"score_reasonings":674,"published_date":205,"last_updated_date":108},184,"Dokploy","dokploy","Open-source, self-hostable PaaS that deploys apps, Docker Compose stacks, and managed databases across one or more of your own servers.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdokploy.svg",{"slug":69,"display_name":70,"description":71},{"category_id":42,"name":331,"slug":332},{"subcategory_id":635,"name":624,"slug":636},[664],{"category_id":42,"name":331,"slug":332,"is_primary":3,"display_order":84},[666],{"subcategory_id":635,"name":624,"slug":636,"category_id":42,"is_primary":3,"display_order":84},[668,669,670,671,672,673],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":457,"name":458,"slug":459,"tag_type":92},{"tag_id":405,"name":406,"slug":407,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":675,"flexibility":676,"performance":677,"popularity":678,"portability":679},"A cleaner, single-page dashboard and a deployment-first workflow make basic app deployment quick to pick up once a server is connected, though the underlying Docker Swarm concepts still surface for multi-node scaling and advanced configuration.","Native Docker Compose support plus Dockerfile and buildpack deployment covers nearly any containerizable workload, and multi-database support extends it well beyond simple app hosting — bounded mainly by the underlying server's resources.","There is no platform-level performance ceiling of its own; deployment speed and headroom are a direct function of the VPS or hardware Dokploy is installed on.","A fast-growing open-source project with a large and rapidly increasing GitHub star count, though it is younger and currently has a smaller community than the category leader, Coolify.","Apache-2.0-licensed core built on standard Docker and Docker Swarm tooling with no proprietary runtime — a Dokploy-managed deployment can move to a different server, or off Dokploy entirely back to raw Docker Compose, with minimal friction.",{"coolify":681,"dokploy":682},"A free, self-hosted deploy platform with an AnythingLLM template in its service library. The template generates the password, the JWT secret, and the signing key and salt, turns telemetry off, and keeps the built-in vector store, so the instance is protected from its first start. It runs the latest image, which changes with almost every commit, so pin a versioned tag. Coolify's own proxy handles the domain and TLS.","Free and self-hosted, with an AnythingLLM template that serves the container on your domain with HTTPS through its Traefik routing and keeps the storage directory on a named volume. Unlike Coolify's, it sets no password or secrets and runs the latest image, so pin a versioned tag and set a password or multi-user mode at the first visit, before sharing the address. Domains and TLS come with the platform, so no separate reverse proxy is added next to it.",{},{"vector_db":685,"model_aggregator":786,"tunnel":847,"llm":901},{"name":686,"tools":687,"descriptions":778,"aliases":783,"preface":785,"see_all":33},"Vector Database",[688,715,739,764],{"tool_id":689,"name":690,"slug":691,"tooltip_description":692,"logo_url":693,"logo_bg":114,"pricing_model":694,"learning_curve_score":45,"popularity_score":36,"hosting_assignment_type":695,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":696,"subcategory":697,"categories":700,"subcategories":702,"flexibility_score":42,"performance_score":36,"portability_score":42,"is_featured":87,"tags":704,"score_reasonings":709,"published_date":205,"last_updated_date":33},216,"Qdrant","qdrant","An open-source vector database written in Rust, free to self-host under Apache 2.0, with a managed Qdrant Cloud that includes a free-forever cluster and hybrid and private deployment options.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fqdrant.svg",{"slug":173,"display_name":174,"description":175},"self_hostable",{"category_id":36,"name":76,"slug":77},{"subcategory_id":36,"name":698,"slug":699},"Vector Databases","vector-databases",[701],{"category_id":36,"name":76,"slug":77,"is_primary":3,"display_order":84},[703],{"subcategory_id":36,"name":698,"slug":699,"category_id":36,"is_primary":3,"display_order":84},[705,706,707,708],{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":710,"flexibility":711,"performance":712,"popularity":713,"portability":714},"Getting a self-hosted instance running via Docker is quick, but making full use of composable retrieval primitives (custom scoring, hybrid dense\u002Fsparse queries) takes more hands-on tuning than a simpler managed alternative.","Composable indexing, scoring, and filtering primitives, deployment via self-hosted Docker\u002FKubernetes or managed cloud, and Hybrid\u002FPrivate Cloud options give it very broad configurability.","Rust-based core and production deployment at scale by companies like Tripadvisor and Canva demonstrate real production-grade throughput, with self-hosting becoming notably cost-efficient at high query volumes.","34K+ GitHub stars and 250M+ downloads, with real, named production adopters, though still behind Pinecone's overall market recognition as the most-referenced managed option.","Apache 2.0 licensed and genuinely self-hostable via Docker or Kubernetes, plus Hybrid\u002FPrivate Cloud for keeping data on customer infrastructure, meaningfully more portable than a closed-source, cloud-only competitor.",{"tool_id":716,"name":717,"slug":718,"tooltip_description":719,"logo_url":720,"logo_bg":114,"pricing_model":721,"learning_curve_score":72,"popularity_score":36,"hosting_assignment_type":695,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":722,"subcategory":723,"categories":724,"subcategories":726,"flexibility_score":36,"performance_score":45,"portability_score":42,"is_featured":87,"tags":728,"score_reasonings":733,"published_date":205,"last_updated_date":143},217,"Chroma","chroma","Open-source, Apache 2.0 embedding database with a deliberately minimal 4-function API, the go-to choice for prototyping RAG apps before optionally scaling to Chroma Cloud's serverless offering.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fchroma.png",{"slug":173,"display_name":174,"description":175},{"category_id":36,"name":76,"slug":77},{"subcategory_id":36,"name":698,"slug":699},[725],{"category_id":36,"name":76,"slug":77,"is_primary":3,"display_order":84},[727],{"subcategory_id":36,"name":698,"slug":699,"category_id":36,"is_primary":3,"display_order":84},[729,730,731,732],{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"flexibility":734,"performance":735,"popularity":736,"portability":737,"learning_curve":738},"Self-hosted or Chroma Cloud on the same API, dense\u002Fmetadata\u002Ffull-text search combined, and Python\u002FJavaScript clients cover most RAG use cases, though the minimal API trades away some low-level tuning control.","Suitable for prototypes through moderate production workloads, but Chroma Cloud is newer to general availability than competitors with a longer track record at very large scale.","29K+ GitHub stars and status as the default vector database in most LangChain\u002FLlamaIndex RAG tutorials, extremely high mindshare among developers starting a new RAG project.","Apache 2.0 licensed, genuinely self-hostable with a single command, and the same API works locally or on Chroma Cloud, no lock-in to get started.","A deliberately minimal, handful-of-functions API and a single command to get a persistent local instance running make Chroma the fastest of the vector databases to start using productively.",{"tool_id":740,"name":741,"slug":742,"tooltip_description":743,"logo_url":744,"logo_bg":114,"pricing_model":745,"learning_curve_score":45,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":746,"subcategory":747,"categories":748,"subcategories":750,"flexibility_score":42,"performance_score":36,"portability_score":36,"is_featured":87,"tags":752,"score_reasonings":758,"published_date":108,"last_updated_date":33},309,"Weaviate","weaviate","An open-source vector database written in Go that stores objects with their embeddings and combines vector and keyword search. Self-hosted with Docker or Kubernetes, or managed on Weaviate Cloud.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fweaviate.jpg",{"slug":173,"display_name":174,"description":175},{"category_id":36,"name":76,"slug":77},{"subcategory_id":36,"name":698,"slug":699},[749],{"category_id":36,"name":76,"slug":77,"is_primary":3,"display_order":84},[751],{"subcategory_id":36,"name":698,"slug":699,"category_id":36,"is_primary":3,"display_order":84},[753,754,755,756,757],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":759,"flexibility":760,"performance":761,"popularity":762,"portability":763},"A single Docker container and the Python client get a first collection working quickly, but collection schemas, vectorizer and generative modules, multi-tenancy, and quantization settings are more concepts to learn than a minimal vector store asks for.","Vector, keyword, and hybrid search, pluggable embedding and generative modules for many providers, multi-tenancy, three API styles, and deployment in Docker, Kubernetes, embedded mode, the managed cloud, or the customer's own cloud.","A Go server with an HNSW index, quantization options that cut memory use, and horizontal scaling with replication. Memory use grows quickly with uncompressed vectors, so large indexes need tuning.","One of the vector databases named in most RAG guides and framework integrations, and the bundled default in AI platforms such as Dify, with a GitHub following smaller than Qdrant's or Chroma's. Well known among developers who build retrieval systems, much less outside that work.","The BSD-3-Clause core runs anywhere Docker or Kubernetes does, and data can be exported through the APIs. A few newer self-hosted features sit behind an enterprise license key, and the built-in vectorizer modules tie a collection's embeddings to the provider it was configured with.",{"tool_id":97,"name":110,"slug":111,"tooltip_description":112,"logo_url":113,"logo_bg":114,"pricing_model":765,"learning_curve_score":45,"popularity_score":42,"hosting_assignment_type":116,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":766,"subcategory":767,"categories":768,"subcategories":770,"flexibility_score":42,"performance_score":36,"portability_score":42,"is_featured":3,"tags":772,"score_reasonings":777,"published_date":107,"last_updated_date":143},{"slug":69,"display_name":70,"description":71},{"category_id":36,"name":76,"slug":77},{"subcategory_id":119,"name":120,"slug":121},[769],{"category_id":36,"name":76,"slug":77,"is_primary":3,"display_order":84},[771],{"subcategory_id":119,"name":120,"slug":121,"category_id":36,"is_primary":3,"display_order":84},[773,774,775,776],{"tag_id":36,"name":128,"slug":129,"tag_type":130},{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":134,"name":135,"slug":136,"tag_type":92},{"learning_curve":138,"flexibility":139,"performance":140,"portability":141,"popularity":142},{"qdrant":779,"chroma":780,"weaviate":781,"postgresql":782},"Selected as the vector database in AnythingLLM's settings with a Qdrant URL and API key, as one more container on the server or on Qdrant Cloud's free cluster. It takes vector search out of the app container and filters well on metadata, which helps once workspaces hold many large document sets. Changing the vector database means re-embedding the documents already uploaded.","A Chroma server, by host and port, or Chroma Cloud with an API key, selected in the same vector database settings. A step up from the built-in store when the team wants the vectors in a service it can inspect and back up on its own. Changing the vector database means re-embedding the documents already uploaded.","A Weaviate server or Weaviate Cloud cluster, selected with its endpoint and API key. Its hybrid keyword and vector search and native multi-tenancy suit deployments with many workspaces and large collections. Changing the vector database means re-embedding the documents already uploaded.","Vectors in a PostgreSQL database with the pgvector extension, set with a connection string. It is the default vector store of the pg image, so a deployment on PostgreSQL keeps users, chats, and vectors in one database with one backup. Changing the vector database means re-embedding the documents already uploaded.",{"postgresql":784},"PostgreSQL with pgvector","Add a vector database when the agent needs to find documents, notes, or past conversations by meaning instead of exact keywords.",{"name":787,"tools":788,"descriptions":840,"aliases":843,"preface":844,"see_all":845},"Model Aggregator",[789,815],{"tool_id":790,"name":791,"slug":792,"tooltip_description":793,"logo_url":794,"logo_bg":114,"pricing_model":795,"learning_curve_score":72,"popularity_score":36,"hosting_assignment_type":796,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":797,"subcategory":798,"categories":802,"subcategories":804,"flexibility_score":36,"performance_score":36,"portability_score":45,"is_featured":87,"tags":806,"score_reasonings":809,"published_date":205,"last_updated_date":143},218,"OpenRouter","openrouter","Unified, OpenAI-compatible API to 500+ models across 80+ providers, with automatic provider fallback and one credits-based bill: the hosted, nothing-to-deploy counterpart to a self-hosted gateway like LiteLLM.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopenrouter.svg",{"slug":384,"display_name":385,"description":386},"managed_only",{"category_id":177,"name":178,"slug":179},{"subcategory_id":799,"name":800,"slug":801},63,"AI Model Aggregators","ai-model-aggregators",[803],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[805],{"subcategory_id":799,"name":800,"slug":801,"category_id":177,"is_primary":3,"display_order":84},[807,808],{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"flexibility":810,"performance":811,"portability":812,"popularity":813,"learning_curve":814},"500+ models across 80+ providers, custom data policies, and a Bring-Your-Own-Key mode cover most routing needs, though there's no control over the underlying routing logic the way a self-hosted gateway offers.","Edge-deployed routing and automatic provider fallback keep added latency low and reliability high, backed by real scale (200+ trillion tokens\u002Fmonth).","Closed-source, hosted-only SaaS with no self-hosting option, credits and API keys are OpenRouter-specific and don't transfer if switching to a self-hosted gateway.","Aggregates 400+ models from 60+ providers behind one OpenAI-style API and is usually the first stop for developers who want to try many models without juggling separate provider keys. A fixture of the LLM-app-building corner of AI development specifically, not a name outside that corner.","A single OpenAI-compatible API key and endpoint gives instant access to hundreds of models, no infrastructure setup or provider-specific integration work required.",{"tool_id":816,"name":817,"slug":818,"tooltip_description":819,"logo_url":820,"logo_bg":114,"pricing_model":821,"learning_curve_score":39,"popularity_score":36,"hosting_assignment_type":116,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":822,"subcategory":823,"categories":824,"subcategories":826,"flexibility_score":42,"performance_score":36,"portability_score":42,"is_featured":87,"tags":828,"score_reasonings":833,"published_date":205,"last_updated_date":839},221,"LiteLLM","litellm","The open-source AI gateway you run yourself: one OpenAI-compatible endpoint in front of more than 100 model providers, with virtual keys, budgets, and spend tracking. It is the self-hosted counterpart to OpenRouter.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flitellm.png",{"slug":173,"display_name":174,"description":175},{"category_id":177,"name":178,"slug":179},{"subcategory_id":799,"name":800,"slug":801},[825],{"category_id":177,"name":178,"slug":179,"is_primary":3,"display_order":84},[827],{"subcategory_id":799,"name":800,"slug":801,"category_id":177,"is_primary":3,"display_order":84},[829,830,831,832],{"tag_id":90,"name":70,"slug":91,"tag_type":92},{"tag_id":79,"name":94,"slug":95,"tag_type":92},{"tag_id":119,"name":224,"slug":225,"tag_type":226},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":834,"flexibility":835,"performance":836,"popularity":837,"portability":838},"Requires standing up and maintaining real infrastructure, PostgreSQL, Redis, the proxy server itself, meaningfully more setup than a zero-ops hosted aggregator like OpenRouter.","Full control over routing logic, guardrails, virtual keys, and spend limits across 100+ providers, the most configurable option in the aggregator genre precisely because you own the deployment.","8ms P95 latency at 1,000 RPS and a Rust core deliver genuinely fast proxy performance, though real-world throughput depends on the self-hosted infrastructure backing it.","56K+ GitHub stars and production adoption at Stripe, Google ADK, Greptile, and OpenHands make it the clear self-hosted leader in this genre.","MIT licensed, genuinely self-hostable anywhere with Docker or the provided Terraform modules, no vendor lock-in to a hosted service.","2026-10-06",{"openrouter":841,"litellm":842},"One of AnythingLLM's built-in providers: one key and one prepaid balance for hundreds of hosted models, chosen per workspace, with an automatic router option. Useful for comparing models on the same documents without an account at each provider. Models are billed at the providers' prices, with a 5.5% fee when you buy credits.","AnythingLLM's LiteLLM provider points at a gateway you host, which holds the provider keys, enforces budgets and rate limits per key, and falls back between providers, so the keys don't sit in AnythingLLM's own .env file. It suits a company that already routes its model traffic through one place. LiteLLM Self-Hosted is a stack of its own.",{},"Add a model aggregator when you want one API key and one bill for models from many providers, with automatic fallback when one of them is down, instead of setting up each provider separately.",{"kind":295,"slug":801,"name":800,"href":846},"\u002Ftools\u002Fcategories\u002Fai-infrastructure\u002Fai-model-aggregators",{"name":848,"tools":849,"descriptions":896,"aliases":899,"preface":900,"see_all":33},"Tunnel",[850,875],{"tool_id":851,"name":852,"slug":853,"tooltip_description":854,"logo_url":855,"logo_bg":114,"pricing_model":856,"learning_curve_score":45,"popularity_score":45,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":857,"subcategory":858,"categories":862,"subcategories":864,"flexibility_score":36,"performance_score":36,"portability_score":39,"is_featured":87,"tags":866,"score_reasonings":869,"published_date":205,"last_updated_date":839},258,"Cloudflare Tunnel","cloudflare-tunnel","Cloudflare Tunnel creates an outbound-only encrypted connection from your server to Cloudflare's network, exposing services to the internet without opening inbound ports. Named tunnels are the production mode, and no-account Quick Tunnels are for testing.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcloudflare.svg",{"slug":173,"display_name":174,"description":175},{"category_id":79,"name":549,"slug":550},{"subcategory_id":859,"name":860,"slug":861},70,"Tunneling & Secure Access","tunneling-secure-access",[863],{"category_id":79,"name":549,"slug":550,"is_primary":3,"display_order":84},[865],{"subcategory_id":859,"name":860,"slug":861,"category_id":79,"is_primary":3,"display_order":84},[867,868],{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":870,"flexibility":871,"performance":872,"popularity":873,"portability":874},"Getting a tunnel running requires a Cloudflare account, a domain on Cloudflare DNS, and configuring ingress rules for each hostname — more setup than a single-binary tunnel tool, though well documented and a common homelab pattern once learned.","Ingress rules can route many hostnames to different local services from one tunnel, Zero Trust Access adds per-hostname authentication, and the same daemon handles HTTP alongside TCP\u002FUDP via WARP.","Traffic rides Cloudflare's global Anycast network end to end, giving it the same routing and edge performance as the rest of Cloudflare's CDN.","A standard recommendation in self-hosting and homelab communities for exposing services without port forwarding, though it competes with several other tunnel tools rather than being the default name people reach for first.","Tightly coupled to a Cloudflare account and DNS zone — migrating off Cloudflare means replacing the entire exposure mechanism, not just swapping a config value.",{"tool_id":876,"name":877,"slug":877,"tooltip_description":878,"logo_url":879,"logo_bg":67,"pricing_model":880,"learning_curve_score":72,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":881,"subcategory":882,"categories":883,"subcategories":885,"flexibility_score":45,"performance_score":45,"portability_score":36,"is_featured":87,"tags":887,"score_reasonings":890,"published_date":205,"last_updated_date":33},259,"ngrok","ngrok is a globally distributed reverse proxy that creates secure public URLs for a local server in seconds, commonly used for local dev previews, webhook testing, and exposing self-hosted services.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fngrok.svg",{"slug":173,"display_name":174,"description":175},{"category_id":79,"name":549,"slug":550},{"subcategory_id":859,"name":860,"slug":861},[884],{"category_id":79,"name":549,"slug":550,"is_primary":3,"display_order":84},[886],{"subcategory_id":859,"name":860,"slug":861,"category_id":79,"is_primary":3,"display_order":84},[888,889],{"tag_id":192,"name":193,"slug":194,"tag_type":92},{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":891,"flexibility":892,"performance":893,"popularity":894,"portability":895},"A single CLI command produces a working public URL with no account configuration, DNS setup, or domain ownership required to get started.","Covers HTTP, TCP, and TLS tunnels plus Kubernetes ingress, with edge traffic policies for auth and rate limiting, though the deepest features sit behind paid plans.","Runs on a globally distributed edge network with solid latency for typical dev-preview and webhook workloads, without the scale of the largest CDN networks.","The name most developers reach for first when they need to expose a local server — long-standing mindshare in webhook testing and dev-preview workflows specifically.","A standalone client binary that works against any local service or cloud origin with no DNS zone or vendor account tie-in beyond ngrok itself, making it easy to drop into any project.",{"cloudflare-tunnel":897,"ngrok":898},"A public HTTPS address through an outbound-only connection, pointed at port 3001, so the team reaches AnythingLLM while no inbound port is open on the server. Free, with Cloudflare Access in front if it should sit behind your company login on top of AnythingLLM's own. A request with no answer within about 125 seconds fails with a 524 on non-Enterprise plans, which matters with slow local models, so keep answers streaming. A stable hostname needs a domain on Cloudflare.","The quick-start tunnel for showing AnythingLLM running on a workstation to someone else: one command gives port 3001 a public HTTPS address with no domain needed. The free plan includes three endpoints, 1 GB of transfer, 20,000 requests, and an interstitial page on browser visits, so it is a trial route, not the team's address. Paid plans start at $10 a month.",{},"Add a tunnel when you're self-hosting without a static IP or can't open inbound ports — a home server, a VPS behind restrictive network policies, or anywhere a reverse proxy alone can't reach the internet.",{"name":902,"tools":903,"descriptions":971,"aliases":975,"preface":976,"see_all":977},"LLM",[904,929,950],{"tool_id":905,"name":906,"slug":907,"tooltip_description":908,"logo_url":909,"logo_bg":114,"pricing_model":910,"learning_curve_score":39,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":74,"hosting_target_restriction":74,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":911,"subcategory":914,"categories":917,"subcategories":919,"flexibility_score":36,"performance_score":42,"portability_score":45,"is_featured":87,"tags":921,"score_reasonings":923,"published_date":107,"last_updated_date":261},153,"Claude","claude","Anthropic's family of AI models, from fast Haiku to frontier Fable, available through the Claude API, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, and claude.ai, known for long context, tool use, and adaptive thinking.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg",{"slug":384,"display_name":385,"description":386},{"category_id":912,"name":902,"slug":913},19,"llm",{"subcategory_id":502,"name":915,"slug":916},"Proprietary","proprietary",[918],{"category_id":912,"name":902,"slug":913,"is_primary":3,"display_order":84},[920],{"subcategory_id":502,"name":915,"slug":916,"category_id":912,"is_primary":3,"display_order":84},[922],{"tag_id":97,"name":98,"slug":99,"tag_type":100},{"learning_curve":924,"flexibility":925,"performance":926,"popularity":927,"portability":928},"The Anthropic API follows the standard messages array pattern familiar from other LLM providers. 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ChatGPT's cultural reach directly drives API adoption. Virtually every developer tool, no-code platform, and enterprise software suite lists OpenAI as a primary integration.","Entirely cloud-bound; no self-hosted option. The API is proprietary — migrating to a different provider requires rewriting prompt logic, tool schemas, and API call structure. Azure and Bedrock availability reduces cloud lock-in but not provider lock-in.","The Chat Completions API is one of the most beginner-friendly interfaces in software — a single POST request with a messages array returns a completion. Official SDKs for Python and Node ship with comprehensive docs and hundreds of cookbook examples. The main learning curve is choosing the right model family and managing costs rather than the API mechanics themselves.","OpenAI offers genuine breadth — five model families, fine-tuning (supervised + reinforcement), function calling, structured outputs, and real-time audio. 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The API follows standard REST conventions with well-maintained Python and JavaScript SDKs. The learning curve is low for basic usage; more advanced features like Vertex AI agent orchestration, grounding configuration, and context caching add moderate complexity.","Broad model selection (Flash-Lite to 3.1 Pro), native multimodal capabilities, function calling, structured output, code execution, and grounding with Search cover a wide range of use cases. Vertex AI adds fine-tuning and custom grounding sources. The main flexibility constraint is that all models are proprietary and cloud-hosted — no self-hosting or weights access.","Gemini 3.1 Pro leads on ARC-AGI-2 (77.1%) and outperforms GPT-5.4 on GPQA Diamond. Gemini 2.5 Flash consistently benchmarks near the top of its price tier. The 1M+ token context window is unmatched for long-document tasks. Competitive with the best frontier models across reasoning, code, and multimodal tasks as of 2026.","750M+ consumer Gemini users by early 2026 and 13M developers reported building with Google's generative models. API request volume hit 85B in January 2026 (142% YoY growth). Strong and accelerating, but OpenAI maintains a larger developer ecosystem and ChatGPT holds ~65% consumer chatbot market share vs Gemini's ~21%.","Deeply tied to Google infrastructure — the API is available only through Google AI Studio or Vertex AI (GCP). No open weights, no self-hosting, no third-party deployment. Moving workloads to another provider requires prompt re-testing and SDK changes. Vertex AI features (grounding, residency controls, agent orchestration) deepen GCP lock-in further.",{"claude":972,"openai":973,"google-gemini":974},"A hosted model for when local hardware isn't enough: set Anthropic as the provider with an API key, for the whole instance or just one workspace, since AnythingLLM picks the model per workspace. Prompt caching is a single setting and cuts the cost of the instructions resent with every message. The prompts and the document passages retrieved for each answer then leave your network, which is the trade against a local model.","GPT models through an OpenAI API key, for the instance or a single workspace, with OpenAI's embedding models available as the embedder too. A reasonable choice for agent workspaces, where tool calling matters more than in plain document chat. 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Self-Hosted","Self-hosted Grafana and Prometheus: metrics dashboards and alerting on a server you run.","intermediate","dashboard","infrastructure","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Finfrastructure.svg",[1111,1112,1113,1118],{"tool_id":62,"slug":64,"name":63,"logo_url":66,"logo_bg":67},{"tool_id":1032,"slug":1034,"name":1033,"logo_url":1036,"logo_bg":114},{"tool_id":1114,"slug":1115,"name":1116,"logo_url":1117,"logo_bg":114},91,"grafana","Grafana","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgrafana.svg",{"tool_id":1119,"slug":1120,"name":1121,"logo_url":1122,"logo_bg":67},94,"prometheus","Prometheus","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fprometheus.svg",{"stack_id":571,"slug":1124,"name":1125,"tagline":1126,"experience_level":1106,"project_type":1127,"stack_type_slug":1108,"stack_type_icon_url":1109,"score_popularity":39,"score_learning_curve":45,"catalog_display_order":33,"published_date":33,"last_updated_date":33,"core_tool_previews":1128},"convex-self-hosted","Convex Self-Hosted","Self-host the Convex reactive backend on your own server, with SQLite as the default store and PostgreSQL or managed Neon behind it when a single node isn't enough.","web_app",[1129,1133,1134],{"tool_id":334,"slug":1130,"name":1131,"logo_url":1132,"logo_bg":114},"convex","Convex","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fconvex.svg",{"tool_id":62,"slug":64,"name":63,"logo_url":66,"logo_bg":67},{"tool_id":1032,"slug":1034,"name":1033,"logo_url":1036,"logo_bg":114},{"stack_id":1136,"slug":1137,"name":1138,"tagline":1139,"experience_level":1106,"project_type":1140,"stack_type_slug":1108,"stack_type_icon_url":1109,"score_popularity":42,"score_learning_curve":45,"catalog_display_order":33,"published_date":33,"last_updated_date":33,"core_tool_previews":1141},240,"ollama-open-webui","Self-Hosted AI with Ollama and Open WebUI","Your own private AI chat: open-weight models served by Ollama, with Open WebUI as the interface.","ai_agents",[1142,1143,1144,1149,1150],{"tool_id":62,"slug":64,"name":63,"logo_url":66,"logo_bg":67},{"tool_id":1032,"slug":1034,"name":1033,"logo_url":1036,"logo_bg":114},{"tool_id":1145,"slug":1146,"name":1147,"logo_url":1148,"logo_bg":114},158,"google-gemma","Google Gemma","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgoogle-gemma.svg",{"tool_id":167,"slug":169,"name":168,"logo_url":171,"logo_bg":67},{"tool_id":1151,"slug":1152,"name":1153,"logo_url":1154,"logo_bg":67},219,"open-webui","Open WebUI","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopen-webui.png",{"stack_id":1156,"slug":1157,"name":1158,"tagline":1159,"experience_level":1160,"project_type":1161,"stack_type_slug":1108,"stack_type_icon_url":1109,"score_popularity":45,"score_learning_curve":39,"catalog_display_order":33,"published_date":33,"last_updated_date":33,"core_tool_previews":1162},156,"strapi-self-hosted","Strapi Self-Hosted","Self-hosted Strapi: an open-source headless CMS with PostgreSQL, on a server you control.","beginner","website",[1163,1164,1165],{"tool_id":97,"slug":111,"name":110,"logo_url":113,"logo_bg":114},{"tool_id":1032,"slug":1034,"name":1033,"logo_url":1036,"logo_bg":114},{"tool_id":1166,"slug":1167,"name":1168,"logo_url":1169,"logo_bg":67},88,"strapi","Strapi","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fstrapi.svg",[1171,1174,1177,1180,1183],{"question":1172,"answer":1173},"Why self-host AnythingLLM instead of using AnythingLLM Cloud or the desktop app?","The three cover different cases. The desktop app is free and runs on one person's computer, with no shared workspaces and no multi-user mode. AnythingLLM Cloud is a private hosted instance for $50 a month on Basic or $99 on Pro, and you bring your own model API key. The self-hosted Docker version is free under the MIT license and is the multi-user one you control: documents, chats, and stored keys stay on your server, and it can talk to a model on your own hardware, so a document never has to leave your network. What it costs is running it: the server, the password and TLS, backups, upgrades, and a machine for the model if you use a local one.",{"question":1175,"answer":1176},"What size server does AnythingLLM need?","AnythingLLM's documented minimum is 2 GB of RAM, a 2-core CPU, and 5 GB of storage, and the CPU must support AVX2, because the built-in vector store fails with an \"Illegal instruction\" error without it. That covers the app, the built-in embedder, and the vector store; disk grows with documents and vectors, and the cloud guide recommends 10 GB. The model is sized separately and is far larger. A small quantized model can run on a CPU slowly, but a team usually needs a machine with a graphics card, either one it owns or a rented GPU server, which is why the docs suggest keeping the model on a separate machine.",{"question":1178,"answer":1179},"Where does state live, and what needs backing up?","In the standard image, everything is in the storage directory mounted from the host: the SQLite database with users, workspaces, chats, and settings, the built-in vector store, uploaded and processed documents, the cached embedding model, agent skills and MCP settings, and the .env file with provider keys and signing secrets. Copy the whole directory with the container stopped, and treat the .env file as a secret, since it holds the API keys entered in the settings pages. With the pg image, the database and vectors move to PostgreSQL, so back it up with pg_dump and keep copying the storage directory for documents and settings. The model runtime holds no AnythingLLM data, only its downloaded models.",{"question":1181,"answer":1182},"How do upgrades work, and is anything behind a paid tier?","Pull a newer image and recreate the container with the same storage mount; database migrations run at startup. Pin a versioned tag such as 1.17.0 instead of latest, which the docs say updates on nearly every commit, and copy the storage directory before each upgrade. Nothing in the self-hosted version is gated: the code is MIT-licensed with no paid edition, branding condition, or user limit. The paid products are the hosted Cloud plans and Enterprise, which adds on-premise deployment, SSO, custom integrations, and a support agreement, priced by quote.",{"question":1184,"answer":1185},"AnythingLLM or Open WebUI for a self-hosted chat interface?","Both give a team a private, ChatGPT-style interface over local or hosted models. Open WebUI is chat-first, with the more mature multi-user administration and the tightest pairing with Ollama, and its license requires keeping its branding above 50 users unless you buy an enterprise license. AnythingLLM is built around document workspaces, each with its own files, vector settings, and model, has a wider choice of vector databases, and is MIT-licensed with no conditions. Pick Open WebUI when the main job is chatting with models, AnythingLLM when the main job is answering from separate document collections. Self-Hosted AI with Ollama and Open WebUI is a stack of its own.",{"summary":1187,"starting_cost_label":1188,"has_free_tier":3,"line_items":1189},"AnythingLLM is free and MIT-licensed, so the app's cost is a small server: it needs 2 GB of RAM and a 2-core CPU, from about $9 a month on a long-term VPS plan. The model is the larger cost. A local runtime is free software but needs a graphics card, which is hardware you already own or a rented GPU server from about €214 a month, while a hosted model bills per token instead. For comparison, AnythingLLM Cloud starts at $50 a month.","From ~$9\u002Fmo",[1190,1194,1198,1201],{"label":1191,"cost":1192,"note":1193},"Server (VPS or cloud)","$9–30\u002Fmo","AnythingLLM needs 2 GB of RAM and a 2-core CPU with AVX2: $8.99 a month for 2 vCPUs and 8 GB at Hostinger on a two-year term, about €19 for 4 GB at Hetzner, $24 at DigitalOcean, $25 for Render's 2 GB instance plus a disk, and about $30 for a 4 GB EC2 instance.",{"label":1195,"cost":1196,"note":1197},"Model runtime (GPU)","€0–214+\u002Fmo","Ollama, LM Studio, llama.cpp, and vLLM are free software; the cost is the hardware. A machine you already own adds nothing, and a rented dedicated server with a 24 GB graphics card starts at about €214 a month. A hosted model replaces this line with per-token billing.",{"label":1062,"cost":1199,"note":1200},"Free (MIT)","The self-hosted version has every feature, with no paid edition or user limit. Enterprise support and SSO are sold by quote.",{"label":1202,"cost":1203,"note":1204},"Exposure","Free","The reverse proxies, deploy platforms, and tunnels here are free, open-source software or free tiers, and TLS certificates come from Let's Encrypt.",{"is_official":3,"source_url":1206,"items":1207,"notes":1220},"https:\u002F\u002Fdocs.anythingllm.com\u002Finstallation-docker\u002Fsystem-requirements",[1208,1211,1214,1217],{"label":1209,"value":1210},"CPU","2 cores with AVX2 support (required by the built-in vector store)",{"label":1212,"value":1213},"RAM","2 GB minimum",{"label":1215,"value":1216},"Disk","5 GB minimum; grows with documents and vectors (10 GB recommended on cloud servers)",{"label":1218,"value":1219},"OS","Any Linux, macOS, or Windows with Docker; amd64 and arm64 images","Quoted from AnythingLLM's Docker system-requirements page: 2 GB of RAM, a 2-core CPU with AVX2, and 5 GB of storage; AVX2 is the one hard requirement, since LanceDB fails with \"Illegal instruction\" without it. The repository's Docker guide recommends at least 2 GB of RAM and 10 GB of disk on AWS, GCP, or Azure. These figures size AnythingLLM only: the model runtime is separate and needs far more, usually on a machine with a graphics card, as the docs advise.",{"title":1222,"description":1223,"og_image":33,"canonical":1224},"AnythingLLM Self-Hosted: Tools, Pricing & How to Deploy | Tekyous","A private AI workspace for your team: chat with your documents and run agents on you… Compare AnythingLLM Self-Hosted tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fanythingllm-self-hosted",[],1791800388088]