agents-langchain SKILL.md skillA
agents-langchain from aicodedecode/awesome-muse-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aicodedecode/awesome-muse-skills/agents-langchain@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aicodedecode/awesome-muse-skills
- Path
skills-imported/agents-langchain/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Sep 27, 2026
- Size
- 12,846 bytes
- Repository stars
- 25
- License
- MIT
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangChain - Build LLM Applications with Agents & RAG The most popular framework for building LLM-powered applications. ## When to use LangChain **Use LangChain when:** - Building agents with tool calling and reasoning (ReAct pattern) - Implementing RAG (retrieval-augmented generation) pipelines - Need to swap LLM providers easily (OpenAI, Anthropic, Google) - Creating chatbots with conversation memory - Rapid prototyping of LLM applications - Production deployments with LangSmith observability **Metrics**: - **119,000+ GitHub stars** - **272,000+ repositories** use LangChain - **500+ integrations** (models, vector stores, tools) - **3,800+ contributors** **Use alternatives instead**: - **LlamaIndex**: RAG-focused, better for document Q&A - **LangGraph**: Complex stateful workflows, more control - **Haystack**: Production search pipelines - **Semantic Kernel**: Microsoft ecosystem ## Quick start ### Installation ```bash # Core library (Python 3.10+) pip install -U langchain # With OpenAI pip install langchain-openai # With Anthropic pip install langchain-anthropic # Common extras pip install langchain-community # 500+ integrations …
Read the whole file at its exact version.
How to install
mdr add aicodedecode/awesome-muse-skills/agents-langchain@sha256:0f157192981490f6The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pxcmxu34xxfm2dty)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 27, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12846 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
aicodedecode/awesome-muse-skills · 25 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pxcmxu34xxfm2dty GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/agents-langchain GET https://markdownregistry.com/api/v1/blob/0f157192981490f66af42af17bb88bd1a7e791e0c474ddedd578246286e95785
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.