#755 · Primary category: AI Agents & Automation
functionary
Chat language model that can use tools and interpret the results
Project last updated:06/30/26
GitHub Stars
1.6K
Forks
118
Contributors
25
License
MIT
Why we included this project
Functionary is a good reference if you want to see how a language model decides when to call external tools, because that decision logic is central to building reliable agents. Instead of relying on prompt tricks, it uses JSON Schema function definitions in the same style as OpenAI function calls, and learns when to invoke one or several functions and how to read their results. That makes it a solid starting point for teams wiring an LLM into APIs or internal systems where structured output matters. The models were competitive on the Berkeley function-calling leaderboard, and the repo shows how to serve them through an OpenAI-compatible endpoint. Just keep in mind the project is deprecated and the code is an old snapshot, so treat it as a learning reference and architectural starting point rather than something to deploy fresh.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
hermes-agent
The agent that grows with you
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
deepseek-harness
DeepSeek Harness: Everything is a Plugin.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.