Functionary Review
Open-source language model by MeetKai that decides when and how to call functions/tools, compatible with OpenAI's function-calling API format.
Verdict
Functionary stands out in the function-calling model space by supporting parallel and serial tool execution, multi-turn grounding in tool outputs, and normal chat fallback — all with 100% accuracy in function/argument name generation via grammar sampling. It competes directly with Gorilla, NexusRaven, and GPT-4 function calling, benchmarking favorably on MeetKai's internal dataset. The main tradeoff is that it requires technical setup and infrastructure, limiting accessibility for non-engineering users.
What it does
MeetKai
Best for
Developers and power users looking for a customizable language model for executing functions and plugins.
At a glance
Pros & cons
- 100% accuracy in function/argument name generation
- Supports parallel, serial, and nested function calls
- OpenAI-compatible API server via vLLM
- Requires significant technical setup to deploy
- No managed hosted tier clearly advertised
- Benchmark is MeetKai's own in-house dataset
Related tools
Frequently asked
- Is Functionary free to use?
- Yes. Functionary has a free plan — Open-source model; self-hosted or via MeetKai endpoints
- Does Functionary have memory?
- No persistent memory — sessions don't carry over by default.
- Can Functionary do voice or images?
- Voice: no. Image generation: no.
- What are the best alternatives to Functionary?
- Browse the AI Tools Directory for related tools.
Looking for an alternative?
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