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yomo

Open-source LLM function calling framework for AI agents, with serverless LLM tools and geo-distributed infrastructure.

Harness by yomorun

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Setup steps are in the repository. Website · Repository

About

YoMo is an open-source LLM function calling framework for AI agents. Tools are deployed as serverless LLM tools, and the yomo CLI can run them behind an OpenAI-style chat completions endpoint, using a local Ollama model in the example. The README describes a geo-distributed architecture that places inference and tools closer to users, and says TLS 1.3 encrypts every data packet.

Use cases: agent-orchestration, api-integration

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Fact sheet

Languages
Rust
Model providers
ollamaREADME
Maturity
Stablegithub.com

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Signals

Stars
1,929
Forks
149
Open issues
0
Last commit
Oct 24, 2026 (3 days ago)
Last release
Oct 24, 2026 (3 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Website
yomo.run
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

yomo. Agent Mart. https://agentmart.dev/harnesses/yomo (last updated 2026-10-24)