Open source alternatives to langchain-architecture
24 open source AI Skills apps to use instead, best rated first.
Top picks
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opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
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andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
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microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
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od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
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github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
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About langchain-architecture
langchain-architecture
Build sophisticated LLM applications
langchain-architecture is an agent skill from the wshobson/agents collection for building LLM applications with LangChain 1.x and LangGraph. LangGraph is the standard framework for agents in this design, and it uses a StateGraph to keep state explicit, supports durable execution, lets a person inspect and approve steps in a human-in-the-loop design, and checkpoints progress across sessions. The skill covers the package structure of LangChain 1.x, memory and conversation state, tool integration, connecting an LLM to external data sources and APIs, and building document processing pipelines. It is written for developers building autonomous agents that use tools, multi-step LLM workflows, reusable application components and production-grade applications. The guidance is about architecture: how the parts fit together, where state lives, and how to keep an agent's behavior predictable. An agent built this way still needs its own testing and evaluation, which the skill does not provide. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 12.9K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/langchain-architecture