MCP servers and skills: search, filter by where they run, and compare.
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critic
OfficialSkillApache-2.0★ 918 in collectionNo key
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selec
OfficialSkillMIT★ 1.3k in collectionNo key
Easily deploy Haystack pipelines as REST APIs and MCP Tools.
PythonApache-2.0★ 154No key
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel,
OfficialSkillMIT★ 1.3k in collectionNo key
Verifiable execution for durable AI agents: policy-bound workflow compiler, hash-chained journal, offline replay, and Merkle + Ed25519 proofs. Go.
GoMIT★ 188No key
Agentic-first Cursor Rules powered by MiniMax M3 - clarify-first prompting, interleaved thinking, and full tool orchestration for production-ready AI coding
SkillMIT★ 126No key
CONTINUUM: Verifiable semantic recovery for long-running AI agents. Semantic checkpoints (not conversation dumps), an idempotent action ledger that refuses duplicate side effects, and a hash-chained t
PythonApache-2.0★ 24No key
Harness-oriented agent system framework for production-grade LLM agent applications
SkillApache-2.0★ 448No key
Druks runs agent apps on your own infrastructure: durable runs that survive restarts, human approvals, and full history. Apps install as Python packages.
PythonMIT★ 17No key
Compile AI agent skills into cheap, fast, deterministic pipelines that run without an LLM in the loop
PythonApache-2.0★ 8No key
A full agent framework on the Vercel AI SDK, durable from the core: exactly-once tool calls, deterministic replay, time-travel.
Node.jsApache-2.0★ 2Few starsNo key
Django DRF's developer experience. Fully async. Built on FastAPI. With native MCP tooling and column-level control over what your LLM can see.
PythonMIT★ 18No key
Build and operate production-safe agents that run in your own environment.
PythonApache-2.0★ 17No key
An open-source TypeScript agent harness for controllable execution, end-to-end observability, and reliable runs—from local models to frontier APIs.
Node.jsMIT★ 31No key
Durable MCP Tasks on infrastructure you already own — local, SSH, and Slurm.
PythonMIT★ 1Few starsNo key
GraphSmith is a free, open-source tool that generates AI agent workflows that survive crashes, never duplicate work and don't hallucinate code.
SkillMIT★ 4Few starsNo key
Next-Generation Multi-Agent Collaboration Platform and Workflow Engine. Build and orchestrate production-ready AI agent teams with sandboxed execution, hybrid RAG, and enterprise-grade security.
SkillGPL-3.0★ 19No key
A set of Claude Code skills to speed up the creation of Dapr Workflow applications
SkillMIT★ 13No key
A runtime for reliable multi-agent systems with durable workflows, resumable execution, and human-in-the-loop control
GoApache-2.0★ 4Few starsNo key
Vendor-neutral graph orchestration for reliable agentic systems: one portable Graph IR, native TypeScript/Python runtimes, deterministic barriers/routers, and cross-language conformance.
SkillMIT★ 4Few starsNo key
infinite token glitch - mcp server for chatgpt to use codex tools on a real machine
SkillApache-2.0★ 4Few starsNo key
Who stands behind it
