MCP servers and skills: search, filter by where they run, and compare.
1–24 of 36 tools for “langsmit”
Clear all🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.
SkillMIT★ 28No key
INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it
OfficialSkillMIT★ 1.3k in collectionNo key
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packag
OfficialSkillMIT★ 1.3k in collectionNo key
Automated harness evolution for AI agents. A Claude Code plugin that iteratively optimizes system prompts, routing, retrieval, and orchestration code using full-trace counterfactual diagnosis. Based o
SkillMIT★ 56No 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
INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.
OfficialSkillMIT★ 1.3k in collectionNo key
INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. C
OfficialSkillMIT★ 1.3k in collectionNo key
Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
OfficialSkillMIT★ 1.3k in collectionNo key
Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
OfficialSkillMIT★ 1.3k in collectionNo key
Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
OfficialSkillMIT★ 1.3k in collectionNo key
Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
OfficialSkillMIT★ 1.3k in collectionNo key
🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip in
SkillGPL-3.0★ 204No key
Guides and scripts for Claude Code on WSL2: screenshot paste, Windows notifications, LSP, and statusline.
SkillMIT★ 51No key
Vetix — Automated scanning, identification, and assessment of SKILL security risks, based on Golang.
SkillMIT★ 50No key
Forge is an open-source, self-hosted alternative for visually building and shipping AI agents and workflows without giving up control of your infrastructure.
SkillMIT★ 171No key
Open-source alternative to LangGraph Platform for TypeScript — self-host your LangGraph.js agents behind the standard Agent Protocol API. Your infra, your Postgres, no vendor lock-in. Drop-in for the
SkillApache-2.0★ 16No key
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable age
SkillMIT★ 103No key
Deterministic record/replay for LLM agent HTTP traffic. Replay a failed run offline in under 1ms, zero API cost.
PythonApache-2.0Few starsNo key
Node.jsMITFew starsNeeds a key
Audit any agent decision across its past, present, and future, on one typed graph.
SkillApache-2.0★ 28No key
Agent Skill for Evaluation-Driven Development (EDD) - guide AI evaluation strategies with the 50-40-10 rule
SkillMIT★ 4Few starsNo key
Local-first flight recorder for AI agents: every LLM call, tool call, cost, and loop captured by a transparent proxy. Zero code changes.
PythonMIT★ 6No key
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