About openmesha
OpenMesha is an agentic operating system for teams building and operating autonomous agents. It combines a web control plane and Python runtime with agent processes, budgets, multi-agent workflows, and governance primitives.
Key features
- 01Agent processes and budgets
- 02Multi-agent workflows
- 03Web and Python control planes
- 04REST API, CLI, and SDK
- 05Governance and cost controls
Use cases
- 01Deploying and verifying an agent runtime
- 02Coordinating multi-agent workflows
- 03Managing agent budgets and access
MCP support
OpenMesha provides an MCP server alongside its API, CLI, and SDK, allowing MCP clients to access its agentic operating-system capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOpenMesha (OM)
“Autonomous Local Economic System”
🚀 Live Demo
Interactive 14-chapter systems briefing (fully self-contained single file) — kernel, agents, economy, security, quantum, x402, HOTL, and more.
→ Open the live interactive demo
OpenMesha is a production-oriented agentic operating system: Super kernel (Thompson router, bitemporal memory, QAOA/VQE, AgentFence, x402, HOTL, PQC) delivered as a self-contained web control plane, plus a Python control plane with OS-like primitives — agents as processes, budgets, multi-agent workflows, MCP, SDK, and CLI.
A senior engineer who has never seen this repository can, using only the source and this README.md:
- Deploy the entire system (single command)
- Exercise every major feature
- Verify end-to-end correctness via automated checks
Support Agentic OS Kernels ($99) · Agentic OS Cycle ($0.75) · Public Goods Support
Non-custodial USDC (preferred for agents)
| Network | Address | Explorer |
|---|---|---|
| Base | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 | basescan |
| Ethereum | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 | etherscan |
| Solana | ETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A | solscan |
Related: rui · server-os · LRSI · OpenGOS
Surfaces
| Surface | Entry |
|---|---|
| Live Demo (GitHub Pages) | OpenMesha-Briefing-SingleFile.html |
| Web control plane | web/openmesha.html |
| REST API | openmesha-api / python -c "from openmesha.main import run; run()" |
| CLI | openmesha status / openmesha agents ... / openmesha workflow |
| MCP Server | openmesha-mcp |
| SDK | from openmesha.sdk import OpenMeshaClient |
| Multi-agent workflows | POST /v1/workflows · MCP · CLI · skills/multi-agent-workflow/ |
| Skills | skills/*/SKILL.md |
| CI | .github/workflows/ci.yml |
| AGENTS.md | Coding-agent contract at repo root |
| WIRE production path | docs/WIRE.md — full cloud/self-hosted path: architecture, om-ctl API, stack, Foundry economics, settlement, P0–P4 checklists |
Quick Start
docker compose up --build
bash scripts/verify.sh
- API: http://localhost:8080
- OpenAPI: http://localhost:8080/docs
Design principles
- Least privilege by construction
- Cost is a first-class resource
- Fail closed (AgentFence + HOTL)
- Honest offline simulation
- Deployable with zero tribal knowledge
License
Apache-2.0
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.