agent-frameworks
Skill13 starsChanged 4 days agoMITView on GitHub
Build Python agents and their system prompts with Google ADK, LangGraph, LangChain, and agents-cli.
1 other project uses a version of this.
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- fmind/dotword for word, first seen Nov 8, 2026
Other versions1 project uses a version of this.
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository67 other files it gives its agents.
- AGENTS.mdAGENTS.md
- dot_agents/AGENTS.mdAGENTS.md
- skills/repository-docs/references/agents.mdAGENTS.md
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The file
Files
Agent Frameworks
Implement the existing or explicitly selected agent framework. Choosing a framework does not authorize provider calls, tracing exports, deployment, or installing every vendor skill.
Workflow
- Keep the project's framework: an existing agent stays on its framework unless the user asks to migrate it.
- Default new agents to Google ADK: scaffold with agents-cli, then write SDK code per google-adk.
- Use LangGraph second: choose it when ADK does not fit, for example a required non-Google stack, durable graph state, or interrupts ADK cannot express. Use LangChain only as LangGraph building blocks: start from its
create_agent, which returns a compiled LangGraph, and hand-write graph topology only where the standard loop falls short. No other framework is a default. - Read only the matching guide and its required resources.
Task guides
<!-- guides:start -->- agents-cli: Google agent scaffolding, lifecycle, and official skill discovery.
- google-adk: Google ADK agents, runners, tools, sessions, and evaluation.
- langchain: LangChain create_agent, middleware, MCP tools, and structured output as LangGraph building blocks.
- langgraph: LangGraph state, persistence, streaming, interrupts, and durable execution.
- system-prompts: Application system prompt layering, rule wording, and validated structured output.
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