io.github.ANAMIZED/server-os
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
Server OS
Autonomous Agentic Operating System — agents as first-class processes with cost control, governance, observability, MCP, SDK, CLI, and skills. Fail-closed. Verified end-to-end.
A senior engineer who has never seen this repository can, using only the source code and this README.md:
- Deploy the entire system (single command)
- Exercise every major feature
- Verify end-to-end correctness via automated checks
No prior context or tribal knowledge required.
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 · LRSI · openmesha · OpenGOS · agenticarb · x402-cloudflare-starter
🚀 Web Control Plane (Hero Demo — Zero Install)
Canonical file: web/server-os.html (~82 KB)
Open locally:
python -m http.server 8088 --directory web
# http://127.0.0.1:8088/server-os.htmlOr Chrome → File → Open File… → web/server-os.html.
Acceptance: open the file → OS tab → Golden evals → run → 12/12 passed.
Offline mock provider, policy, budgets, graph, terminal, and 12 golden evals. The HTML engine is DOM-free below the UI so the eval suite exercises the same path as interactive use.
Quick Start (Production Runtime)
docker compose up --build
# another terminal
bash scripts/verify.sh- API: http://localhost:8080
- Dashboard: http://localhost:8080/dashboard
- OpenAPI: http://localhost:8080/docs
Default mode is offline mock LLM (deterministic, free). Set SERVER_OS_LLM_MODE=openai + OPENAI_API_KEY for real models.
Surfaces
| Surface | Entry |
|---|---|
| Web control plane | web/server-os.html (offline, self-verifying) |
| REST API | python -c "from server_os.main import run; run()" |
| CLI | server-os status / server-os agents ... |
| MCP Server | server-os-mcp |
| SDK | from server_os.sdk import ServerOSClient |
| Multi-agent workflows | skills/multi-agent-workflow/ |
| Skills | skills/*/SKILL.md |
| AGENTS.md | Coding-agent contract at repo root |
| CI | .github/workflows/ci.yml |
Verify contract
bash scripts/verify.shCovers API, cost, governance, multi-agent workflows, SDK, CLI, MCP, skills, and AGENTS.md. 16 checks. All must pass.
Web parity check (manual, ~30s): open full web/server-os.html → run Golden evals → 12/12.
Design principles
- Least privilege by construction (capabilities from intent)
- Cost is a first-class resource
- Observable by default
- Fail closed
- Deployable with zero tribal knowledge
License
Apache-2.0
Frequently asked questions
What is io.github.ANAMIZED/server-os?
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
How do I install io.github.ANAMIZED/server-os?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is io.github.ANAMIZED/server-os open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains io.github.ANAMIZED/server-os?
It is published by ANAMIZED. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.