LangChain – AI Agent Framework

SkillAI & models

Build AI agents with LangChain framework

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LangChain skill

What this skill tells your AI

The instructions your AI receives, as published by bidewio/better-openclaw in skills/langchain-agent/SKILL.md and read by ahel’s review.

LangChain is the foundational framework for building AI agents with tool integration, memory, chain-of-thought reasoning, and RAG.

  • GitHub: github.com/langchain-ai/langchain (112 000+ ⭐)
  • License: MIT
  • Security: Sequoia-backed. Active security team. No malware.

Environment Variables

VariableDescription
{{LANGSERVE_URL}}Base URL of a LangServe deployment

Usage Examples

Invoke a LangServe chain

curl -s -X POST "{{LANGSERVE_URL}}/invoke" \
  -H "Content-Type: application/json" \
  -d '{"input": {"question": "Summarise this document"}}'

Stream responses

curl -s -X POST "{{LANGSERVE_URL}}/stream" \
  -H "Content-Type: application/json" \
  -d '{"input": {"question": "Explain quantum computing"}}'

AI Agent Tips

  • LangServe exposes LangChain chains as REST APIs.
  • Use LangGraph for complex stateful agent orchestration.
  • Supports 100+ LLM providers, vector stores, and tool integrations.
  • LCEL (LangChain Expression Language) enables composable chain building.

Signals

GitHub stars
58
Forks
6
Last commit
Aug 2026
Advanced
Item type
skill
Key
langchain-agent
Source
github.com/bidewio/better-openclaw