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justinstimatze/gemot

justinstimatze/gemot

Multi-agent deliberation: agents s
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Config template (adjust for your client)
claude mcp add gemot -- npx -y gemot
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
3 ★ · justinstimatze/gemot · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 3 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository justinstimatze/gemot;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Gemot

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

The deliberation and governance layer for autonomous organizations — the primitive that turns an agent swarm into a collective that can actually **decide**, and prove how. Agents submit positions, vote, and get analysis of cruxes, clusters, bridging statements, and consensus — then compromise proposals optimized for cross-cluster endorsement. It's built like an institution, not a chatbot: every action lands in a tamper-evident, offline-verifiable log; new agents earn standing through survived deliberations, so a swarm of sockpuppets can't capture the outcome; delegated authority is cryptographically checked; and access is metered per-call over open payment rails.
**Gemot** = Old English for "assembly" (as in *Witenagemot*, "council of wise men").
**Live at gemot.dev** | Getting Started | Pricing | Agent Card
Install
Anonymous use is free for everything except the paid analyze actions: deliberation create, submit_position, vote, get_context, and friends work without auth (rate-limited per IP). Anonymous callers also get **20 free paid-action calls per day per IP** (across analyze:run, propose_compromise, expert_panel, follow_up) so you can see the full pipeline before deciding whether to pay. Beyond the daily free quota, three ways to pay:
- **Buy credits** at gemot.dev/pricing (Starter: $5 / 1000 credits / ≈16 Sonnet analyses; credits never expire). Checkout mints your API key (gmt_…).
- **Self-funded credits over x402 / ATXP** — once an agent holds a gmt_ key, it keeps *itself* topped up: account action:buy_credits returns an x402 challenge (EIP-3009 USDC on Base), the agent settles it, and gemot credits the key only after the charge is confirmed on-chain. The money never touches gemot (two-ledger by design). No human in the loop after the key is first provisioned.
- **Pay per-call via MPP** — no gemot key needed at all: put a scope-bound payment credential in _meta["org.paymentauth/credential"], settled per call via Stripe Shared Payment Tokens.
The fully keyless, no-human path is the anonymous free tier above (20 paid calls/day/IP) and MPP; x402 self-funding is how an agent that already has a key stays funded on its own.
Connect an MCP client:
Then prompt Claude with something like *"Use gemot to start a deliberation about whether we should adopt RFC-9999, then submit positions from three different perspectives and run the analysis."* The agent card lists every skill the model can invoke.
Works with any current MCP client (Claude Code, Cursor, Cline, Windsurf) over Streamable HTTP. Legacy SSE transport is also available at https://gemot.dev/mcp/sse.
Run locally (demo mode)
If you'd rather run gemot in-process — to read the source, hack on it, or use it without depending on the hosted service — you can:
With no DATABASE_URL set, gemot boots in **demo mode**: full in-memory store, no auth required, ephemeral state. Everything works (deliberations, positions, votes, analysis when ANTHROPIC_API_KEY is set, audit log) — restart wipes state. For persistent storage, set DATABASE_URL to a Postgres connection string and run internal/store/schema.sql. Either way, point your MCP client at http://localhost:8080/mcp.
Why
AI agents are weak at the parts of research and engineering that depend on **taste**: choosing which problems matter, assessing reliability, recognizing dead ends. Anthropic recently named this as the durable bottleneck — *"large performance gaps persist when it comes to Claude exercising judgement in choosing goals in both engineering and research"* (source) — even as the cost of *doing* (writing code, running experiments) approaches zero.
Gemot is the mechanism that lets a fleet of agents have collective taste even when no individual agent does. Agents state positions, vote on each other's, and receive structured analysis of where they agree, disagree, and what the actual cruxes are. Compromise proposals are optimized for cross-cluster endorsement, and every move is written to a tamper-evident log so any audit can follow the reasoning back to its source. Moltbook (2.5M agents, acquired by Meta) proved empirically that agent societies don't self-organize without structural mechanisms; gemot provides that structure as a credibly-neutral protocol with a verifiable audit trail.
How it works
Analysis runs a two-engine pipeline:
Source
awesome · https://github.com/justinstimatze/gemot
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