[{"data":1,"prerenderedAt":942},["ShallowReactive",2],{"categories-init":3,"stack-claude-agent-sdk-app":4,"stack-res-claude-agent-sdk-app":941},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":48,"additions":354,"addition_groups":626,"option_groups":649,"multi_select_option_types":655,"tools_by_category":656,"related_stacks":824,"faqs":902,"pricing":921,"system_requirements":33,"experience_level":884,"project_type":936,"stack_type_slug":832,"stack_type_icon_url":833,"published_date":521,"last_updated_date":33,"seo_meta":937},251,"claude-agent-sdk-app","Claude Agent SDK App","Agents on the harness behind Claude Code: a TypeScript service with built-in file, shell, and web tools, running Claude in containers you control.","**The agent is Claude Code's harness, used as a library.** The Claude Agent SDK gives a TypeScript service the same loop, built-in tools for reading and editing files, running shell commands, searching, and fetching from the web, the context compaction, subagents, hooks, permission modes, and MCP connections that Claude Code runs on. Building an agent is mostly writing its instructions, its permissions, and its custom tools, not the loop. The model is fixed: the SDK works with Claude only, through an Anthropic API key or the major clouds' Claude endpoints, which is the trade against a framework that lets you swap model vendors.\n\nEach session is **a Claude Code subprocess with its own shell and working directory**, which the SDK spawns and talks to over stdio. So the service runs in a container, not a serverless function: Node.js 18 or later, the SDK with its bundled binary, and a Docker image. Anthropic's starting point is 1 GB of memory, 5 GB of disk, and one CPU per concurrent agent, and memory grows with session length. Where that container lives is the stack's main choice: a long-running host that keeps many sessions warm, or a sandbox platform that starts a fresh, isolated machine for each task and discards it afterwards.\n\n**Sessions live on local disk by default**, so transcripts, memory files, and whatever the agent writes in its working directory disappear when the container restarts. Agents that users come back to need a session store, which mirrors transcripts to an object store, a key-value store, or a database, and the working directory needs a volume or a sync of its own. Because the agent runs shell commands, Anthropic's guidance is to give each tenant its own working directory and configuration directory, send outbound traffic through a proxy with an allowlist, keep tool credentials out of the container, and authenticate users at a gateway in front of the service.\n\n**Token spend dominates the bill.** Anthropic puts a small container at about $0.05 an hour, while one long session can spend dollars on Claude, so a cap on turns, the model chosen for each subagent, and the SDK's cost tracking matter more than the host. Tracing through OpenTelemetry, a session store, and CI are optional additions.",[11,12,13,14,15,16],"The Claude Agent SDK in TypeScript: Claude Code's agent loop, built-in file, shell, search, and web tools, and context compaction","Subagents, lifecycle hooks, permission modes, and skills to shape what the agent may do","Custom tools as in-process MCP servers, plus connections to external MCP servers","Claude as the model, through an Anthropic API key or the major clouds' Claude endpoints","Runs in a container: a long-running host or a per-task sandbox, Railway by default","Optional session stores that keep transcripts in S3, Redis, or PostgreSQL",[18,19,20,21,22],"A coding or data agent that edits files and runs commands in its own workspace","Back-office automation: an email, ticket, or document agent driven by a queue or a schedule","A research agent that searches the web, reads sources, and writes a report","Per-customer agents in a SaaS product, each in an isolated sandbox","Wrapping internal systems as MCP servers that an agent can call",[24,25,26,27],"Starts from a harness proven on real coding work, with file and shell tools ready to use","Subagents, hooks, permissions, and resumable sessions are built in, not assembled","Per-task sandboxes give strong isolation for agents that run the code they write","Hosting cost is small next to model usage, so the host can be chosen for fit, not price",[29,30,31,32],"Claude only: switching model vendors means rewriting the agent","Each session is a subprocess, so it needs containers, not serverless functions","Sessions and files vanish on restart unless a store and a volume are added","The TypeScript package is under Anthropic's Commercial Terms, not an open-source licence",null,{"popularity":35,"learning_curve":38,"flexibility":40,"performance":43,"portability":45},{"score":36,"reasoning":37},4,"Built on Claude Code, one of the most widely used coding agents, and the SDK Anthropic points developers to for their own agents, with a growing number of guides and templates. Known among teams building agents more than among developers at large.",{"score":36,"reasoning":39},"A first agent is a few lines around one query call, but production asks for more: a subprocess per session in containers, session stores, per-tenant isolation, an egress proxy, permission modes that decide what the agent may run, and cost control over long sessions.",{"score":41,"reasoning":42},3,"Tools, MCP servers, hooks, subagents, and permissions make the agent itself very configurable, and it runs on any container host or sandbox platform. The model is fixed to Claude, though, and the harness's loop is Claude Code's, not one you design.",{"score":36,"reasoning":44},"The harness is the one Claude Code runs on, with context compaction and parallel subagents for long tasks. Each session is a full subprocess whose memory grows with its length, so concurrency per host is bounded and long sessions need recycling.",{"score":46,"reasoning":47},2,"The containers, session stores, and hosts are ordinary and portable, but the agent is tied to Claude and to Claude Code's harness, and the TypeScript package is under Anthropic's Commercial Terms. Moving to another vendor means rebuilding the agent on a different framework.",{"agent_framework":49,"vector_db":53,"database":57,"orm":61,"authentication":65,"analytics":69,"model_inference":73,"coding_agent":77,"llm":81,"language":85,"frontend_framework":89,"cms":93,"hosting":97,"reverse_proxy":229,"self_hosted_paas":233,"code_sandbox":237},{"name":33,"tools":50,"descriptions":51,"aliases":52,"see_all":33},[],{},{},{"name":33,"tools":54,"descriptions":55,"aliases":56,"see_all":33},[],{},{},{"name":33,"tools":58,"descriptions":59,"aliases":60,"see_all":33},[],{},{},{"name":33,"tools":62,"descriptions":63,"aliases":64,"see_all":33},[],{},{},{"name":33,"tools":66,"descriptions":67,"aliases":68,"see_all":33},[],{},{},{"name":33,"tools":70,"descriptions":71,"aliases":72,"see_all":33},[],{},{},{"name":33,"tools":74,"descriptions":75,"aliases":76,"see_all":33},[],{},{},{"name":33,"tools":78,"descriptions":79,"aliases":80,"see_all":33},[],{},{},{"name":33,"tools":82,"descriptions":83,"aliases":84,"see_all":33},[],{},{},{"name":33,"tools":86,"descriptions":87,"aliases":88,"see_all":33},[],{},{},{"name":33,"tools":90,"descriptions":91,"aliases":92,"see_all":33},[],{},{},{"name":33,"tools":94,"descriptions":95,"aliases":96,"see_all":33},[],{},{},{"name":98,"tools":99,"descriptions":221,"aliases":225,"see_all":226},"Hosting",[100,152,193],{"tool_id":101,"name":102,"slug":103,"tooltip_description":104,"logo_url":105,"logo_bg":106,"pricing_model":107,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":112,"subcategory":116,"categories":120,"subcategories":123,"flexibility_score":36,"performance_score":36,"portability_score":41,"is_featured":125,"tags":126,"score_reasonings":144,"published_date":150,"last_updated_date":151},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","white",{"slug":108,"display_name":109,"description":110},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.","open",{"category_id":113,"name":114,"slug":115},5,"Hosting & Cloud","hosting-cloud",{"subcategory_id":117,"name":118,"slug":119},41,"App Hosting","app-hosting",[121],{"category_id":113,"name":114,"slug":115,"is_primary":3,"display_order":122},0,[124],{"subcategory_id":117,"name":118,"slug":119,"category_id":113,"is_primary":3,"display_order":122},false,[127,132,136,140],{"tag_id":128,"name":129,"slug":130,"tag_type":131},12,"Self-hostable","self-hostable","feature",{"tag_id":133,"name":134,"slug":135,"tag_type":131},13,"Free Tier","free-tier",{"tag_id":137,"name":138,"slug":139,"tag_type":131},20,"Auto-scaling","auto-scaling",{"tag_id":141,"name":142,"slug":143,"tag_type":131},24,"Docker Compatible","docker-compatible",{"learning_curve":145,"performance":146,"portability":147,"flexibility":148,"popularity":149},"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.","2026-05-29","2026-09-27",{"tool_id":153,"name":154,"slug":155,"tooltip_description":156,"logo_url":157,"logo_bg":158,"pricing_model":159,"learning_curve_score":41,"popularity_score":41,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":160,"subcategory":161,"categories":162,"subcategories":164,"flexibility_score":113,"performance_score":113,"portability_score":113,"is_featured":125,"tags":166,"score_reasonings":187,"published_date":150,"last_updated_date":151},167,"Fly.io","fly-io","Docker-native edge hosting platform running apps in Firecracker microVMs across 35+ global regions. Scale-to-zero by default, with managed Postgres and built-in anycast networking.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ffly-io.svg","dark",{"slug":108,"display_name":109,"description":110},{"category_id":113,"name":114,"slug":115},{"subcategory_id":117,"name":118,"slug":119},[163],{"category_id":113,"name":114,"slug":115,"is_primary":3,"display_order":122},[165],{"subcategory_id":117,"name":118,"slug":119,"category_id":113,"is_primary":3,"display_order":122},[167,172,176,177,181,182],{"tag_id":168,"name":169,"slug":170,"tag_type":171},40,"Web","web","platform",{"tag_id":173,"name":174,"slug":175,"tag_type":131},14,"Serverless","serverless",{"tag_id":137,"name":138,"slug":139,"tag_type":131},{"tag_id":178,"name":179,"slug":180,"tag_type":131},21,"Multi-region","multi-region",{"tag_id":141,"name":142,"slug":143,"tag_type":131},{"tag_id":183,"name":184,"slug":185,"tag_type":186},28,"Web Development","web-development","use_case",{"learning_curve":188,"flexibility":189,"performance":190,"popularity":191,"portability":192},"Fly.io requires understanding Docker, the flyctl CLI, and fly.toml configuration before deploying anything. Concepts like Machines, volumes, anycast routing, and 6PN networking add further depth. The documentation is excellent, but the on-ramp is noticeably steeper than Railway or Render for developers without container experience.","Full Docker runtime means any language, framework, or dependency is supported. Per-Machine resource allocation, custom scaling rules, volume mounts, multi-region replication, and GPU access cover a wide range of workload types from static sites to stateful ML inference pipelines. The platform imposes almost no constraints on architecture.","Firecracker microVMs deliver near-bare-metal performance with hardware isolation. Anycast routing across 35+ regions means requests hit a local PoP rather than a central origin. Cold starts are measured in milliseconds. Benchmarks consistently show Fly.io at the top tier for global P50 latency among PaaS providers.","Fly.io is a developer favorite in startup and indie-hacker communities, regularly cited in comparisons with Railway and Render. However it remains a niche platform relative to DigitalOcean or AWS. GitHub presence and community forum are active but not at the scale of mainstream cloud providers.","Pure Docker runtime with no proprietary SDK or framework requirements. Workloads can be lifted to any other Docker-compatible host — DigitalOcean, Hetzner, AWS ECS — with minimal configuration changes. Fly Postgres exports standard PostgreSQL dumps. No lock-in beyond fly.toml, which is straightforward to translate.",{"tool_id":194,"name":195,"slug":196,"tooltip_description":197,"logo_url":198,"logo_bg":106,"pricing_model":199,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":203,"subcategory":204,"categories":208,"subcategories":210,"flexibility_score":41,"performance_score":36,"portability_score":36,"is_featured":125,"tags":212,"score_reasonings":215,"published_date":150,"last_updated_date":151},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":200,"display_name":201,"description":202},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"category_id":113,"name":114,"slug":115},{"subcategory_id":205,"name":206,"slug":207},42,"VPS & Servers","vps-and-servers",[209],{"category_id":113,"name":114,"slug":115,"is_primary":3,"display_order":122},[211],{"subcategory_id":205,"name":206,"slug":207,"category_id":113,"is_primary":3,"display_order":122},[213,214],{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":178,"name":179,"slug":180,"tag_type":131},{"learning_curve":216,"flexibility":217,"performance":218,"portability":219,"popularity":220},"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.",{"railway":222,"fly-io":223,"hetzner":224},"The default: a container platform that keeps the agent service running, so long-running sessions stay warm and take new turns over HTTP or WebSocket. Attach a volume for working directories and transcripts, or they go with each redeploy. Memory is billed at about $10 per GB a month on top of the $5 Hobby plan, so Anthropic's starting point of 1 GB per concurrent agent comes to roughly $10 a month for each agent running at the same time. TLS and a public domain come with the platform.","Machines that start on a request and stop when idle, billed per second, which suits the hybrid pattern: a returning user's session hydrates from a session store and the machine shuts down between visits. Volumes keep working directories on a machine, and regions put agents near their users. A 1 GB machine left running costs under $10 a month. The service ships as a Docker image, so expect a little more setup than a Git-push platform.","A root VPS for running many agents in one pool: a shared-vCPU server with 8 GB at about €35 a month holds roughly six concurrent agents at Anthropic's 1 GB starting point, and a 4 GB one at about €19 holds two or three. It is the cheapest per agent under steady load, but isolation between tenants, restarts, TLS, and scaling are yours to build with Docker and a proxy.",{},{"kind":227,"slug":115,"name":114,"href":228},"category","\u002Ftools\u002Fcategories\u002Fhosting-cloud",{"name":33,"tools":230,"descriptions":231,"aliases":232,"see_all":33},[],{},{},{"name":33,"tools":234,"descriptions":235,"aliases":236,"see_all":33},[],{},{},{"name":238,"tools":239,"descriptions":346,"aliases":350,"see_all":351},"Code Sandbox",[240,282,313],{"tool_id":241,"name":242,"slug":243,"tooltip_description":244,"logo_url":245,"logo_bg":158,"pricing_model":246,"learning_curve_score":46,"popularity_score":36,"hosting_assignment_type":250,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":251,"subcategory":254,"categories":258,"subcategories":260,"flexibility_score":113,"performance_score":113,"portability_score":46,"is_featured":125,"tags":262,"score_reasonings":275,"published_date":281,"last_updated_date":33},302,"Modal","modal","Serverless cloud for running Python code on CPUs and GPUs, defined entirely in code, with Sandboxes for executing AI-generated code in isolated containers. Billed per second with no infrastructure to manage.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fmodal.svg",{"slug":247,"display_name":248,"description":249},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.","managed_only",{"category_id":178,"name":252,"slug":253},"AI Infrastructure","ai-infrastructure",{"subcategory_id":255,"name":256,"slug":257},76,"Agent Sandboxes & Code Execution","agent-sandboxes",[259],{"category_id":178,"name":252,"slug":253,"is_primary":3,"display_order":122},[261],{"subcategory_id":255,"name":256,"slug":257,"category_id":178,"is_primary":3,"display_order":122},[263,268,269,270,271],{"tag_id":264,"name":265,"slug":266,"tag_type":267},1,"Python","python","technology",{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":173,"name":174,"slug":175,"tag_type":131},{"tag_id":137,"name":138,"slug":139,"tag_type":131},{"tag_id":272,"name":273,"slug":274,"tag_type":186},25,"Machine Learning","machine-learning",{"learning_curve":276,"flexibility":277,"performance":278,"popularity":279,"portability":280},"A decorator and a few lines of Python deploy a function or start a sandbox with no Docker or cloud console, although tuning images, GPUs, and concurrency for production takes more understanding of the platform.","Arbitrary container images, any GPU class, sandboxes, web endpoints, schedules, and storage primitives let one platform cover agent code execution, inference, training, and data jobs.","Sub-second container starts, fast GPU cold starts, and autoscaling that has handled more than a million sandboxes in a weekend put it at the top of the serverless compute field.","A $4.7B valuation, a few hundred million dollars in annualised revenue, and customers such as Anthropic and Meta make it one of the best-known AI infrastructure names among ML engineers and agent builders, though web-focused developers rarely touch it.","Code is plain Python and images are standard containers, but the decorators, sandbox API, and scheduling model are Modal-specific and there is no way to run the platform elsewhere.","2026-10-01",{"tool_id":283,"name":284,"slug":285,"tooltip_description":286,"logo_url":287,"logo_bg":158,"pricing_model":288,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":289,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":290,"subcategory":291,"categories":292,"subcategories":294,"flexibility_score":36,"performance_score":36,"portability_score":36,"is_featured":125,"tags":296,"score_reasonings":307,"published_date":281,"last_updated_date":33},300,"E2B","e2b","Open-source cloud sandboxes where AI agents safely run the code they generate, each isolated in its own Firecracker microVM. Controlled from Python and JavaScript SDKs, with a managed cloud or self-hosted deployment.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fe2b.png",{"slug":247,"display_name":248,"description":249},"self_hostable",{"category_id":178,"name":252,"slug":253},{"subcategory_id":255,"name":256,"slug":257},[293],{"category_id":178,"name":252,"slug":253,"is_primary":3,"display_order":122},[295],{"subcategory_id":255,"name":256,"slug":257,"category_id":178,"is_primary":3,"display_order":122},[297,298,301,305,306],{"tag_id":264,"name":265,"slug":266,"tag_type":267},{"tag_id":46,"name":299,"slug":300,"tag_type":267},"JavaScript","javascript",{"tag_id":302,"name":303,"slug":304,"tag_type":131},11,"Open Source","open-source",{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"learning_curve":308,"flexibility":309,"performance":310,"popularity":311,"portability":312},"Creating a sandbox and running code in it takes a few SDK calls in Python or JavaScript, and the Code Interpreter SDK handles output streaming. Custom templates and self-hosting take more learning.","Custom templates, full filesystem and network access, pause and resume, a graphical desktop mode, and an MCP gateway cover code interpreters, coding agents, and computer-use agents alike.","Sub-second microVM starts and sessions up to 24 hours suit most agent workloads, though container-based sandboxes start faster and nested virtualization adds some overhead on raw compute.","Around 14K GitHub stars and the most-cited name in agent sandbox comparisons, yet the whole category is only a couple of years old and unfamiliar to most developers who aren't building agents.","The SDKs and infrastructure are Apache-2.0 and can be self-hosted, but the documented self-host path targets Google Cloud first, and moving to another sandbox vendor means rewriting SDK calls.",{"tool_id":314,"name":315,"slug":316,"tooltip_description":317,"logo_url":318,"logo_bg":158,"pricing_model":319,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":250,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":320,"subcategory":321,"categories":322,"subcategories":324,"flexibility_score":36,"performance_score":113,"portability_score":46,"is_featured":125,"tags":326,"score_reasonings":339,"published_date":281,"last_updated_date":345},301,"Daytona","daytona","Cloud sandbox infrastructure for running AI-generated code, with sandbox creation the vendor puts under 90 milliseconds and sandboxes that persist until deleted. It is controlled through Python, TypeScript, Ruby, Go, and Java SDKs, with per-second billing.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdaytona.svg",{"slug":108,"display_name":109,"description":110},{"category_id":178,"name":252,"slug":253},{"subcategory_id":255,"name":256,"slug":257},[323],{"category_id":178,"name":252,"slug":253,"is_primary":3,"display_order":122},[325],{"subcategory_id":255,"name":256,"slug":257,"category_id":178,"is_primary":3,"display_order":122},[327,328,331,334,338],{"tag_id":264,"name":265,"slug":266,"tag_type":267},{"tag_id":41,"name":329,"slug":330,"tag_type":267},"TypeScript","typescript",{"tag_id":113,"name":332,"slug":333,"tag_type":267},"Go","go",{"tag_id":335,"name":336,"slug":337,"tag_type":267},7,"Ruby","ruby",{"tag_id":141,"name":142,"slug":143,"tag_type":131},{"learning_curve":340,"flexibility":341,"performance":342,"popularity":343,"portability":344},"Creating a sandbox and running code is a couple of SDK calls in any of four languages, and default snapshots already include Python, Node, and their language servers.","Any Docker image, declarative builds, persistent or throwaway sandboxes, volumes, GPUs, computer use, and an MCP server cover most agent designs, within the limits of a managed platform whose code is no longer open.","Sub-100 ms starts from snapshots lead the category in independent comparisons, and massive parallel creation is a core design goal.","Its former open-source repository passed 65K GitHub stars and it is named alongside E2B and Modal in nearly every sandbox comparison, though the category itself is still new to most developers.","Closed-source since June 2026 with a proprietary API and control plane, so leaving means rewriting against another provider's SDK. Customer-managed runners keep compute, but not control, in-house.","2026-10-06",{"modal":347,"e2b":348,"daytona":349},"The platform in Anthropic's own hosting cookbook: each task gets a fresh sandbox that runs the agent and is destroyed when it finishes, the ephemeral pattern. Sandboxes bill per second, about $0.17 an hour for one physical core and 1 GiB, and the free Starter plan includes $30 of credits a month. Volumes keep files between runs. It fits one-off tasks such as fixing a bug or processing a document. The service that starts each sandbox is only a few API calls, so it can run on any host, a serverless function included.","Firecracker microVM sandboxes started from a TypeScript SDK in a fraction of a second, with the agent service running inside like any Node.js process. Each user or task gets its own virtual machine, the strongest separation for agents that run shell commands. The free Hobby plan's one-time credits cap a sandbox at one hour, so long-running agents need Pro at $150 a month, which allows 24 hours. Usage is billed per second.","Sandboxes the vendor says start in under 90 milliseconds and that can run with no time limit once auto-stop is switched off, driven from a TypeScript SDK with file, Git, and process APIs. That suits an agent that keeps the same environment across many sessions, such as a per-user workspace. Billing is per second while a sandbox runs, a stopped one pays only for its disk, and new accounts get starter credits.",{},{"kind":352,"slug":257,"name":256,"href":353},"subcategory","\u002Ftools\u002Fcategories\u002Fai-infrastructure\u002Fagent-sandboxes",{"database":355,"llm_observability":428,"storage":491,"ci_cd":552},{"name":356,"tools":357,"descriptions":421,"aliases":424,"preface":425,"see_all":426},"Database",[358,393],{"tool_id":168,"name":359,"slug":360,"tooltip_description":361,"logo_url":362,"logo_bg":158,"pricing_model":363,"learning_curve_score":41,"popularity_score":113,"hosting_assignment_type":366,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":367,"subcategory":370,"categories":373,"subcategories":375,"flexibility_score":113,"performance_score":36,"portability_score":113,"is_featured":3,"tags":377,"score_reasonings":387,"published_date":150,"last_updated_date":281},"PostgreSQL","postgresql","PostgreSQL is a free, open-source object-relational database known for reliability, standards compliance, and extensibility, with rich data types, JSONB, and a large ecosystem of extensions such as PostGIS and pgvector.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpostgresql.svg",{"slug":364,"display_name":303,"description":365},"open_source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.","deployable",{"category_id":36,"name":368,"slug":369},"Databases","databases",{"subcategory_id":272,"name":371,"slug":372},"OLTP Databases","oltp-databases",[374],{"category_id":36,"name":368,"slug":369,"is_primary":3,"display_order":122},[376],{"subcategory_id":272,"name":371,"slug":372,"category_id":36,"is_primary":3,"display_order":122},[378,381,382,383],{"tag_id":36,"name":379,"slug":380,"tag_type":267},"SQL","sql",{"tag_id":302,"name":303,"slug":304,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":384,"name":385,"slug":386,"tag_type":131},22,"ACID Compliant","acid-compliant",{"learning_curve":388,"flexibility":389,"performance":390,"portability":391,"popularity":392},"Standard SQL is broadly known, but CTEs, window functions, and JSONB take time to master.","Extensions like PostGIS and pgvector, custom types, and PL\u002FpgSQL cover virtually any need.","Battle-tested query planner; efficient with proper indexing and regular vacuum.","Open SQL standard with no lock-in; data and skills transfer to any SQL-compatible system.","The most popular relational database among developers per Stack Overflow 2024; rapidly growing.",{"tool_id":117,"name":394,"slug":395,"tooltip_description":396,"logo_url":397,"logo_bg":158,"pricing_model":398,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":366,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":399,"subcategory":400,"categories":404,"subcategories":406,"flexibility_score":36,"performance_score":113,"portability_score":36,"is_featured":125,"tags":408,"score_reasonings":415,"published_date":150,"last_updated_date":151},"Redis","redis","In-memory data store used as cache, message broker, and database. Known for speed with sub-millisecond response times.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fredis.svg",{"slug":247,"display_name":248,"description":249},{"category_id":36,"name":368,"slug":369},{"subcategory_id":401,"name":402,"slug":403},27,"Key-Value Stores","key-value-stores",[405],{"category_id":36,"name":368,"slug":369,"is_primary":3,"display_order":122},[407],{"subcategory_id":401,"name":402,"slug":403,"category_id":36,"is_primary":3,"display_order":122},[409,410,411],{"tag_id":302,"name":303,"slug":304,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":412,"name":413,"slug":414,"tag_type":131},15,"Real-time","real-time",{"learning_curve":416,"flexibility":417,"performance":418,"portability":419,"popularity":420},"Simple key-value command set; minimal configuration required to get started.","Multiple data structures; Lua scripting; Redis Modules extend core functionality significantly.","In-memory with sub-millisecond read and write; purpose-built for high-throughput caching.","Key-value commands are standard; many Redis-compatible alternatives exist.","Widely used as a cache and message broker; often a background dependency in production stacks.",{"postgresql":422,"redis":423},"Anthropic's Postgres reference adapter stores each transcript entry as a JSON row ordered on insert; copy it into the project as the session store, and the same database can hold your users and job records. Pick it when sessions are part of your product's data and need queries, retention rules, and backups you already run.","The key-value reference adapter keeps one list per transcript plus a sorted index of sessions, so appends are fast and resuming is cheap, which suits the long-running pattern with many short turns. Turn on Redis persistence, or treat transcripts as disposable, since an in-memory store loses them on restart.",{},"Add a database when the app needs to persist data between sessions: user records, application state, or anything that should survive a restart.",{"kind":227,"slug":369,"name":368,"href":427},"\u002Ftools\u002Fcategories\u002Fdatabases",{"name":429,"tools":430,"descriptions":486,"aliases":489,"preface":490,"see_all":33},"LLM Observability",[431,464],{"tool_id":432,"name":433,"slug":434,"tooltip_description":435,"logo_url":436,"logo_bg":158,"pricing_model":437,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":289,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":438,"subcategory":442,"categories":446,"subcategories":448,"flexibility_score":113,"performance_score":36,"portability_score":113,"is_featured":125,"tags":450,"score_reasonings":458,"published_date":281,"last_updated_date":33},296,"Langfuse","langfuse","Open-source platform for tracing, evaluating, and monitoring LLM applications and AI agents. It adds prompt management, datasets, and cost and latency analytics, and runs as a managed cloud or self-hosted.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flangfuse.png",{"slug":247,"display_name":248,"description":249},{"category_id":439,"name":440,"slug":441},18,"Observability & Monitoring","observability-monitoring",{"subcategory_id":443,"name":444,"slug":445},75,"LLM & Agent Observability","llm-agent-observability",[447],{"category_id":439,"name":440,"slug":441,"is_primary":3,"display_order":122},[449],{"subcategory_id":443,"name":444,"slug":445,"category_id":439,"is_primary":3,"display_order":122},[451,452,453,454],{"tag_id":302,"name":303,"slug":304,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":455,"name":456,"slug":457,"tag_type":186},35,"Monitoring","monitoring",{"performance":459,"learning_curve":460,"flexibility":461,"popularity":462,"portability":463},"The ClickHouse-backed analytics layer handles high trace volumes and fast dashboard queries, and SDKs send traces asynchronously so they add little latency to the application.","Framework integrations add tracing with a callback handler or a decorator, and the cloud version needs only an API key. Evaluations and datasets take more thought but are optional.","OpenTelemetry-based instrumentation, SDKs in Python and TypeScript, integrations for most agent frameworks, a public API, and a self-hostable codebase let teams wire it into nearly any stack.","Around 34K GitHub stars and the most-cited open-source option in LLM observability comparisons, well known to teams shipping LLM features but a young category that few developers outside AI work have looked at yet.","MIT-licensed core, self-hosting on any infrastructure, and OpenTelemetry instrumentation mean traces and prompts can move between the cloud and self-hosted deployments or to another OTel backend.",{"tool_id":465,"name":466,"slug":467,"tooltip_description":468,"logo_url":469,"logo_bg":106,"pricing_model":470,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":250,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":471,"subcategory":472,"categories":473,"subcategories":475,"flexibility_score":36,"performance_score":36,"portability_score":46,"is_featured":125,"tags":477,"score_reasonings":480,"published_date":281,"last_updated_date":33},297,"LangSmith","langsmith","LangChain's platform for tracing, evaluating, and deploying LLM applications and agents. It works with any framework and is tightest with LangChain and LangGraph, adding datasets, prompt tooling, and managed agent hosting.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flangsmith.png",{"slug":247,"display_name":248,"description":249},{"category_id":439,"name":440,"slug":441},{"subcategory_id":443,"name":444,"slug":445},[474],{"category_id":439,"name":440,"slug":441,"is_primary":3,"display_order":122},[476],{"subcategory_id":443,"name":444,"slug":445,"category_id":439,"is_primary":3,"display_order":122},[478,479],{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":455,"name":456,"slug":457,"tag_type":186},{"learning_curve":481,"flexibility":482,"performance":483,"popularity":484,"portability":485},"LangChain and LangGraph apps start tracing by setting an API key and one environment variable, and the UI is built around the concepts those frameworks already use. Evaluations and deployment add more to learn.","Covers tracing, evals, prompts, monitoring, and deployment with SDKs and OpenTelemetry for any framework, but customisation stops at what the hosted product and its API expose.","Handles production trace volumes for large LangChain customers, and its managed deployment runtime supports persistence and background runs for long agents.","The default observability choice for LangChain users and the brand most often named first in LLM tracing comparisons, but the category is still young and little known outside teams building with LLMs.","Traces and datasets live in LangChain's cloud unless an Enterprise contract pays for self-hosting, and agents on LangSmith Deployment are tied to its runtime, although OpenTelemetry ingestion eases instrumenting outside LangChain.",{"langfuse":487,"langsmith":488},"Langfuse documents a Claude Agent SDK integration for TypeScript and Python that sends OpenTelemetry spans for each agent run and tool call, with token totals and cost. With the current instrumentation a trace shows the run and its tools rather than every model call. Open source, self-hostable, or on the cloud's free Hobby plan.","LangSmith instruments the SDK through its own Claude Agent SDK support, so runs, tool calls, and subagents arrive as traces beside any LangChain work. It is hosted and closed source, with self-hosting on Enterprise only; the free Developer plan covers one seat and 5,000 traces a month.",{},"Add LLM observability when you want to see every model call, tool call, and token cost inside a run, so a wrong answer can be traced to the step that caused it.",{"name":492,"tools":493,"descriptions":545,"aliases":548,"preface":549,"see_all":550},"Object Storage",[494,522],{"tool_id":495,"name":496,"slug":497,"tooltip_description":498,"logo_url":499,"logo_bg":158,"pricing_model":500,"learning_curve_score":41,"popularity_score":113,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":501,"subcategory":504,"categories":507,"subcategories":509,"flexibility_score":113,"performance_score":36,"portability_score":41,"is_featured":125,"tags":511,"score_reasonings":515,"published_date":521,"last_updated_date":33},311,"Amazon S3","amazon-s3","Amazon S3 is AWS's object storage service for uploads, media, backups, and data lakes, and the origin of the S3 API that most other object stores copy.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Famazon-s3.png",{"slug":108,"display_name":109,"description":110},{"category_id":302,"name":502,"slug":503},"APIs & Infrastructure","apis-infrastructure",{"subcategory_id":505,"name":492,"slug":506},78,"object-storage",[508],{"category_id":302,"name":502,"slug":503,"is_primary":3,"display_order":122},[510],{"subcategory_id":505,"name":492,"slug":506,"category_id":302,"is_primary":3,"display_order":122},[512,513,514],{"tag_id":178,"name":179,"slug":180,"tag_type":131},{"tag_id":183,"name":184,"slug":185,"tag_type":186},{"tag_id":168,"name":169,"slug":170,"tag_type":171},{"learning_curve":516,"flexibility":517,"performance":518,"popularity":519,"portability":520},"Basic uploads are simple with any SDK, but IAM roles, bucket policies, CORS, and storage classes add real concepts before a production setup is safe.","Storage classes, lifecycle rules, versioning, object lock, replication, events, and query services such as Athena cover almost any storage pattern.","High request throughput and global availability, with S3 Express One Zone available for single-digit-millisecond access.","Known across the whole industry, far beyond web development, and the default storage layer in countless architectures and tutorials.","The S3 API is widely implemented elsewhere, but egress fees and AWS-specific features such as IAM policies and Glacier make leaving more costly than with zero-egress stores.","2026-10-12",{"tool_id":523,"name":524,"slug":525,"tooltip_description":526,"logo_url":527,"logo_bg":158,"pricing_model":528,"learning_curve_score":46,"popularity_score":41,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":529,"subcategory":530,"categories":531,"subcategories":533,"flexibility_score":41,"performance_score":36,"portability_score":113,"is_featured":125,"tags":535,"score_reasonings":539,"published_date":521,"last_updated_date":33},310,"Cloudflare R2","cloudflare-r2","Cloudflare R2 is an S3-compatible object storage service with zero egress fees, used for user uploads, media, backups, and static assets.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcloudflare-r2.jpg",{"slug":108,"display_name":109,"description":110},{"category_id":302,"name":502,"slug":503},{"subcategory_id":505,"name":492,"slug":506},[532],{"category_id":302,"name":502,"slug":503,"is_primary":3,"display_order":122},[534],{"subcategory_id":505,"name":492,"slug":506,"category_id":302,"is_primary":3,"display_order":122},[536,537,538],{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":183,"name":184,"slug":185,"tag_type":186},{"tag_id":168,"name":169,"slug":170,"tag_type":171},{"learning_curve":540,"flexibility":541,"performance":542,"popularity":543,"portability":544},"Anyone who has used an S3 SDK can start immediately by pointing it at the R2 endpoint, and the dashboard covers bucket creation, public access, and keys without extra concepts.","Covers uploads, public delivery, lifecycle rules, and events, but with fewer storage classes and a narrower slice of the S3 API than Amazon S3.","Served from Cloudflare's global network with native Worker bindings and no egress penalty for read-heavy workloads.","Well known among web developers and the usual S3 alternative in comparisons, but outside the Cloudflare and JavaScript ecosystem it is far less recognized than Amazon S3.","The S3-compatible API means data and client code move to or from other providers with little change, and there is no egress cost to leave.",{"amazon-s3":546,"cloudflare-r2":547},"The object-store reference adapter writes one part file per batch and reads them back in order on resume: the cheapest durable home for transcripts, with lifecycle rules for retention, which the SDK leaves to you. A bucket also suits the working-directory files that session stores don't cover, synced when a task ends.","The same S3 adapter pointed at R2's S3-compatible endpoint, with no egress fees when transcripts and files are read back by containers in other regions or on other hosts. A fit for sandbox fleets that resume sessions wherever a machine happens to start.",{},"Add object storage when your app accepts file uploads or produces files, such as avatars, documents, images, and exports, and those files should live outside your database and server disk.",{"kind":352,"slug":506,"name":492,"href":551},"\u002Ftools\u002Fcategories\u002Fapis-infrastructure\u002Fobject-storage",{"name":553,"tools":554,"descriptions":619,"aliases":622,"preface":623,"see_all":624},"CI\u002FCD",[555,592],{"tool_id":556,"name":557,"slug":558,"tooltip_description":559,"logo_url":560,"logo_bg":106,"pricing_model":561,"learning_curve_score":41,"popularity_score":113,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":562,"subcategory":565,"categories":569,"subcategories":571,"flexibility_score":113,"performance_score":36,"portability_score":36,"is_featured":125,"tags":573,"score_reasonings":586,"published_date":150,"last_updated_date":151},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. Runs on GitHub-hosted or self-hosted runners with a rich marketplace of pre-built integrations.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-actions.svg",{"slug":247,"display_name":248,"description":249},{"category_id":128,"name":563,"slug":564},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":566,"name":567,"slug":568},34,"CI\u002FCD Pipelines","cicd-pipelines",[570],{"category_id":128,"name":563,"slug":564,"is_primary":3,"display_order":122},[572],{"subcategory_id":566,"name":567,"slug":568,"category_id":128,"is_primary":3,"display_order":122},[574,575,576,577,580,581],{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":168,"name":169,"slug":170,"tag_type":171},{"tag_id":578,"name":553,"slug":579,"tag_type":186},36,"ci-cd",{"tag_id":141,"name":142,"slug":143,"tag_type":131},{"tag_id":582,"name":583,"slug":584,"tag_type":585},45,"Declarative","declarative","paradigm",{"flexibility":587,"learning_curve":588,"performance":589,"popularity":590,"portability":591},"Self-hosted runner support across any OS or cloud, custom labels, matrix builds, Kubernetes scaling via Actions Runner Controller, and a marketplace of thousands of community-built actions give teams virtually unlimited configuration options for any workflow or environment.","Basic single-job workflows are accessible to any developer comfortable with YAML, and GitHub's documentation lowers the barrier further. However, advanced patterns — composite actions, reusable workflows, OIDC-based cloud auth, and conditional matrix strategies — involve non-obvious syntax and a complex permission model that requires meaningful time to master.","The platform handles massive scale reliably, but GitHub-hosted runner performance can vary between runs, making consistent benchmarking difficult. Teams running on self-hosted or larger hosted runners achieve stable, high throughput; the managed offering trades predictable latency for zero infrastructure overhead.","GitHub Actions is the dominant CI\u002FCD platform with tens of millions of repositories using it, thousands of marketplace actions, and widespread enterprise adoption. It is cited as the most-used CI\u002FCD solution in multiple developer surveys.","Self-hosted runners can run on any cloud or on-premises infrastructure, and the YAML workflow model is readable and auditable. The main constraint is tight coupling to GitHub events and APIs — moving workflows to another CI\u002FCD platform requires meaningful rewriting rather than a simple lift-and-shift.",{"tool_id":593,"name":594,"slug":595,"tooltip_description":596,"logo_url":597,"logo_bg":106,"pricing_model":598,"learning_curve_score":41,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":599,"subcategory":600,"categories":601,"subcategories":603,"flexibility_score":113,"performance_score":41,"portability_score":41,"is_featured":125,"tags":605,"score_reasonings":613,"published_date":150,"last_updated_date":521},165,"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. Supports both GitLab-hosted and self-hosted runners for flexible pipeline execution across diverse environments.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgitlab.svg",{"slug":247,"display_name":248,"description":249},{"category_id":128,"name":563,"slug":564},{"subcategory_id":566,"name":567,"slug":568},[602],{"category_id":128,"name":563,"slug":564,"is_primary":3,"display_order":122},[604],{"subcategory_id":566,"name":567,"slug":568,"category_id":128,"is_primary":3,"display_order":122},[606,607,608,609,610,611,612],{"tag_id":133,"name":134,"slug":135,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":168,"name":169,"slug":170,"tag_type":171},{"tag_id":578,"name":553,"slug":579,"tag_type":186},{"tag_id":302,"name":303,"slug":304,"tag_type":131},{"tag_id":141,"name":142,"slug":143,"tag_type":131},{"tag_id":582,"name":583,"slug":584,"tag_type":585},{"learning_curve":614,"flexibility":615,"performance":616,"popularity":617,"portability":618},"The core .gitlab-ci.yml syntax is approachable for developers with YAML and Linux fundamentals, and GitLab's documentation is thorough. However, the platform's breadth — runner executors, pipeline inheritance, CI\u002FCD Catalog, merge trains, and security scanning configuration — creates a long tail of advanced concepts that teams discover gradually over months.","Multiple runner executor types (Docker, Kubernetes, Shell, machine), unlimited self-hosted runner capacity, parent-child pipelines, reusable CI\u002FCD Components, and the ability to self-host the entire platform give teams complete control over their pipeline environment and infrastructure.","Pipeline performance depends heavily on runner configuration and caching strategy. Shared GitLab-hosted runners can experience queue delays during peak periods, and Docker+machine executors add startup overhead. Teams running optimized self-hosted Kubernetes runners with effective caching achieve significantly faster pipelines, but the default shared experience is average for the CI\u002FCD category.","GitLab CI\u002FCD is used by over 100,000 organizations and is particularly strong among enterprises and security-conscious DevOps teams. It consistently ranks among the top CI\u002FCD platforms in developer surveys, though GitHub Actions has overtaken it in raw adoption volume — especially among open-source and smaller team segments.","GitLab CE is fully open source and self-hostable on any infrastructure, which is a strong portability advantage. However, .gitlab-ci.yml pipelines are tightly coupled to GitLab's API and runner ecosystem — migrating pipeline definitions to another CI\u002FCD system (GitHub Actions, CircleCI, etc.) requires substantial rewriting rather than a simple port.",{"github-actions":620,"gitlab-cicd":621},"Builds and pushes the agent's Docker image, runs type checks and tests, and adds the step that matters for agents: replay saved tasks against a changed prompt, permission set, or model, and fail the build when the results get worse. Pin the SDK version, since it also pins the bundled Claude Code binary.","The same pipeline for a repository on GitLab, configured in .gitlab-ci.yml, including on a self-managed GitLab when the code and the runners have to stay inside your own network.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. Many hosting platforms already redeploy automatically on every push on their own — a CI\u002FCD tool adds the most value on top of that by gating the deploy on a passing test suite, and matters even more when the hosting choice does not auto-deploy at all, such as a self-hosted server.",{"kind":352,"slug":568,"name":567,"href":625},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",[627,635,642],{"slug":628,"name":629,"description":630,"icon_url":631,"addition_types":632},"under_the_hood","Under the hood (backend)","Services your users never see, which store data and keep the app fast and reliable.","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Faddition-groups\u002Funder_the_hood.svg",[633,634],"database","storage",{"slug":636,"name":637,"description":638,"icon_url":639,"addition_types":640},"build_deploy","Build and deploy","Testing, packaging, and shipping your code on every change.","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Faddition-groups\u002Fbuild_deploy.svg",[641],"ci_cd",{"slug":643,"name":644,"description":645,"icon_url":646,"addition_types":647},"monitoring_analytics","Monitoring and analytics","For you rather than your users: what people do in the app, what breaks, and why a model answered the way it did.","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Faddition-groups\u002Fmonitoring_analytics.svg",[648],"llm_observability",{"agent_runtime":650},{"name":651,"option_types":652},"Container Host or Sandbox",[653,654],"hosting","code_sandbox",[],{"Backend Frameworks":657,"Programming Languages":693,"Hosting & Cloud":716,"DevOps & CI\u002FCD":731,"LLM":763,"Agentic AI":791},[658],{"tool_id":183,"name":659,"slug":660,"tooltip_description":661,"logo_url":662,"logo_bg":158,"pricing_model":663,"learning_curve_score":36,"popularity_score":36,"hosting_assignment_type":366,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":664,"subcategory":667,"categories":671,"subcategories":673,"flexibility_score":36,"performance_score":36,"portability_score":36,"is_featured":125,"tags":675,"score_reasonings":687,"published_date":150,"last_updated_date":151},"Node.js","nodejs","Node.js is an open-source, cross-platform JavaScript runtime built on Chrome's V8 engine, designed for building scalable server-side and network applications using an event-driven, non-blocking I\u002FO model. 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Python and TypeScript SDKs are well-documented. Basic integration takes under an hour.","Supports tool use, vision, extended thinking, prompt caching, batch processing, streaming, and system prompts. No fine-tuning and no image output limits the ceiling. Multi-cloud availability adds operational flexibility.","Claude 4 Opus and Sonnet 4 are at the frontier of reasoning and coding benchmarks as of 2025. Extended thinking mode significantly improves accuracy on hard problems. Competitive with GPT-4o and Gemini Ultra across most evaluation suites.","Claude is one of the two or three most-referenced LLMs in developer communities worldwide. Massive adoption via Claude.ai, API, Bedrock, and Vertex AI. Powers Claude Code, Cursor (optional model), and many third-party AI products.","Anthropic API uses its own message format and tool-calling schema — not OpenAI-compatible. Migrating to\u002Ffrom Claude requires prompt and schema rewrites. Available on Bedrock and Vertex AI reduces infrastructure lock-in but does not eliminate model lock-in.","2026-10-02",[792],{"tool_id":793,"name":794,"slug":795,"tooltip_description":796,"logo_url":769,"logo_bg":158,"pricing_model":797,"learning_curve_score":46,"popularity_score":36,"hosting_assignment_type":699,"hosting_provider_restriction":111,"hosting_target_restriction":111,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":798,"subcategory":801,"categories":805,"subcategories":807,"flexibility_score":36,"performance_score":113,"portability_score":46,"is_featured":125,"tags":809,"score_reasonings":818,"published_date":281,"last_updated_date":521},294,"Claude Agent SDK","claude-agent-sdk","Anthropic's SDK for building agents on the same harness that powers Claude Code, available in Python and TypeScript. It ships the agent loop, built-in tools, subagents, hooks, sessions, and MCP support, and runs on Claude models only.",{"slug":108,"display_name":109,"description":110},{"category_id":137,"name":799,"slug":800},"Agentic AI","agentic-ai",{"subcategory_id":802,"name":803,"slug":804},62,"Agent Frameworks","agent-frameworks",[806],{"category_id":137,"name":799,"slug":800,"is_primary":3,"display_order":122},[808],{"subcategory_id":802,"name":803,"slug":804,"category_id":137,"is_primary":3,"display_order":122},[810,811,812,813,814],{"tag_id":264,"name":265,"slug":266,"tag_type":267},{"tag_id":41,"name":329,"slug":330,"tag_type":267},{"tag_id":302,"name":303,"slug":304,"tag_type":131},{"tag_id":128,"name":129,"slug":130,"tag_type":131},{"tag_id":815,"name":816,"slug":817,"tag_type":131},16,"AI-powered","ai-powered",{"learning_curve":819,"flexibility":820,"performance":821,"popularity":822,"portability":823},"A single query call with built-in tools gives a working agent in a few lines, and anyone who has used Claude Code already knows the concepts of subagents, hooks, and permissions.","Hooks, subagents, skills, custom MCP tools, and self-hosted sandboxes let teams shape almost any agent, but the harness is opinionated and the model choice is fixed to Claude.","It is the same harness Claude Code runs on, and Claude models lead agentic coding and tool-use evaluations, so agents built on it inherit strong long-horizon results.","About 8K stars on the Python repo plus a similar TypeScript package, and it is the documented way to build on Claude Code, with a large ecosystem of third-party apps built on top of it.","The SDK itself is open source and runs anywhere, but agents are tied to Claude models, reached through Anthropic or the cloud providers that resell 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TypeScript-meets-Java: an Angular frontend backed by a Spring Boot REST API.","advanced",[886,890,895,900,901],{"tool_id":178,"slug":887,"name":888,"logo_url":889,"logo_bg":158},"angular","Angular","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fangular.svg",{"tool_id":891,"slug":892,"name":893,"logo_url":894,"logo_bg":158},116,"spring-boot","Spring Boot","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fspring-boot.svg",{"tool_id":896,"slug":897,"name":898,"logo_url":899,"logo_bg":158},115,"java","Java","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fjava.png",{"tool_id":695,"slug":330,"name":329,"logo_url":697,"logo_bg":158},{"tool_id":168,"slug":360,"name":359,"logo_url":362,"logo_bg":158},[903,906,909,912,915,918],{"question":904,"answer":905},"Should I use the Agent SDK, the Claude API's tool runner, or Managed Agents?","All three run an agent on Claude; they differ in how much comes built in and who runs it. The tool runner in Anthropic's client SDK is the thinnest: it loops over tools you define and nothing else, with no file or shell tools and no sessions, and it runs in any process, including serverless functions. The Agent SDK, this stack, adds Claude Code's built-in tools, subagents, hooks, permissions, and sessions, at the price of running a subprocess in a container you operate. Managed Agents moves the loop and the sandbox to Anthropic, configured through the API, so there is no container to run, but the agent runs on Anthropic's platform under its controls. Pick the SDK when the agent needs a real shell and files and you want to own where it runs.",{"question":907,"answer":908},"Should the agent run in a long-running container or a fresh sandbox per task?","It follows the work. One-off tasks, such as fixing a bug or extracting an invoice, suit a fresh sandbox that is destroyed afterwards, which gives clean isolation and no state to clean up. An agent serving continuous traffic, such as a chat bot or an email triager, suits a long-running container holding many sessions warm. Sessions that pause for hours, such as research that resumes later, suit the hybrid: a container that shuts down when idle and reloads the transcript from a session store when the user returns, which makes the store mandatory. The agent runs on one of the two kinds of platform, a container host or a sandbox platform, and they map to these patterns: Railway and Hetzner for long-running pools, Modal and E2B for per-task sandboxes, Fly.io and Daytona for the hybrid.",{"question":910,"answer":911},"What drives the model bill, and can a Claude subscription pay for it?","Tokens, not hosting. Every turn resends the instructions, tool definitions, and conversation so far, and file and shell tools pull long outputs into the context, so a long session costs more with each step. Cap turns per session, give subagents a cheaper model for simple steps, keep tool output short, and track cost per session with the SDK's accounting; the Pricing section has the per-token rates. A Claude Pro or Max subscription can't pay for a product built on the SDK: Anthropic's docs say products may not offer claude.ai login or its rate limits unless approved, so billing goes through an API key, or through Bedrock, Google Cloud, or Foundry on your cloud account.",{"question":913,"answer":914},"How is this different from the TypeScript AI Agent stack?","TypeScript AI Agent builds the agent with a framework, the Vercel AI SDK by default, inside a Next.js app that also renders the chat, and it can switch between Claude, OpenAI, and Gemini. It runs well on serverless hosting, and you write each tool yourself. This stack starts from Claude Code's harness instead: file editing, shell commands, web search, subagents, and sessions come built in, but it is Claude only and each session needs a container. Pick TypeScript AI Agent for a chat assistant inside a web product, and this stack for an agent that works on files and runs commands, or when you want a harness proven on coding work rather than one you assemble.",{"question":916,"answer":917},"Can I put a web interface in front of the agent?","Yes, and the agent service stays separate from it. The container exposes an HTTP or WebSocket endpoint, keeps each user's session mapped to its subprocess, and streams messages back as the agent works. A Next.js app, such as the interface in the TypeScript AI Agent stack, or any other web frontend calls that endpoint and renders the stream, including tool calls. Anthropic's guidance puts user authentication at a gateway in front of the agent container, so the frontend and the gateway handle sign-in and the agent only sees requests that are already authorised. For agents with no interface, a queue or a scheduler can call the same endpoint.",{"question":919,"answer":920},"Can I write the agent in Python instead of TypeScript?","Yes. The Python package has the same loop, tools, hooks, subagents, MCP support, and session stores, needs Python 3.10 or later, and bundles the same binary; it is also the MIT-licensed one of the two. The differences are in the API surface: Python holds a session open with a client object where TypeScript streams input into a running query, and a few helpers, such as pre-warming subprocesses, exist only in TypeScript. Everything else in this stack carries over: the hosts, the session stores, and the tracing. Choose the language your team and your tools already use.",{"summary":922,"starting_cost_label":923,"has_free_tier":3,"line_items":924},"The SDK is free to install, so the costs are a container and the tokens, and tokens dominate: Anthropic puts a small container at about $0.05 an hour, while one long agent session can spend dollars on Claude. A container host costs about $10 a month for each agent running at the same time, and sandbox platforms bill by the second with free credits to start. Model usage is billed per token through your API key or cloud account.","From ~$10\u002Fmo",[925,929,933],{"label":926,"cost":927,"note":928},"Hosting (container host or sandbox)","$0–35\u002Fmo + usage","Anthropic's starting point is 1 GB of memory and one CPU per concurrent agent: about $10 a month per agent on Railway, under $10 for a 1 GB Fly.io machine, about €19 to €35 for a 4 to 8 GB Hetzner server holding several agents, or per-second sandboxes on Modal (about $0.17 an hour, with $30 of monthly credits), E2B, or Daytona.",{"label":930,"cost":931,"note":932},"Claude usage","Pay per token","Sonnet costs $2 per million input tokens and $10 per million output, Haiku $1 and $5, and Opus $4 and $20. Each turn resends the conversation and tool results, so long sessions cost more per step; caps on turns and a cheaper model for subagents keep it in check.",{"label":794,"cost":934,"note":935},"Free","Free to install. The Python package is MIT-licensed; the TypeScript package and the bundled Claude Code binary are used under Anthropic's Commercial Terms.","ai_agents",{"title":938,"description":939,"og_image":33,"canonical":940},"Claude Agent SDK App: Tools, Pricing & How to Deploy | Tekyous","Agents on the harness behind Claude Code: a TypeScript service with built-in file, shel… Compare Claude Agent SDK App tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fclaude-agent-sdk-app",[],1791800395151]