workflowstacks
ai-agent

mesh-llm

Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
3,541 stars+37★ this week450 forksRustUpdated 10/22/2026100% free · open source
What it does

Mesh-LLM allows you to share compute resources privately or publicly to power AI agents and chat applications in a distributed manner.

When to use it
  • •You need a decentralized AI solution for your startup's chatbot or virtual assistant.
  • •You want to leverage collective computing power from a community or network to train AI models.
  • •You require a secure and private way to deploy and manage AI agents for your business.
Ready-to-paste prompt
mesh-llm-cli agent create my_agent --model mesh-llm/base --prompt 'What is the meaning of life?'
Heads up: You need to have Rust and Cargo installed on your system, as well as a compatible version of the Rust compiler, to successfully build and run Mesh-LLM.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/mesh-llm && curl -fsSL https://workflowstacks.com/api/skills/mesh-llm/claude-skill -o ~/.claude/skills/mesh-llm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How mesh-llm works
Codeflow
Free to inspect

Mesh-llm is a very large Rust project (~858k lines across 2675 code files, plus 521 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~858k lines · 2675 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust
No API keys detected
Rust 71%TypeScript 13%Python 10%Shell 3%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    Cargo.toml
    Dependencies and the commands it exposes
  4. 4
    crates/mesh-llm/README.md
    Inside crates/mesh-llm/ — the main logic begins here
What's in each folder
crates/mesh-llm/Core code — the actual logic30 files
crates/mesh-llm-skills/Prompts, skills & agent definitions3 files
docs/Documentation147 files
recipes/Examples you can copy3 files
crates/mesh-llm-ui/Folder826 files
crates/mesh-llm-host-runtime/Folder684 files
scripts/Helper scripts362 files
crates/skippy-server/Folder159 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
Mesh-LLM
Language
Rust
Category
ai-agent
Published
2/11/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/mesh-llm.svg)](https://workflowstacks.com/skills/mesh-llm?utm_source=github&utm_medium=badge)
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