技能 人工智能 多智能体自学习协作协议

多智能体自学习协作协议

v20260604
polis-protocol
Polis协议提供了一个主动且自进化的框架,用于协调来自不同供应商的多个AI智能体。它不再是简单的任务分配板,而是通过学习机制,根据每个智能体在特定任务上的历史表现(履历)来智能路由任务。更重要的是,协议包含一个治理层,允许智能体对协议规则进行提案和投票,确保团队能持续进化和适应需求。它支持多种厂商的AI模型。
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概览

Polis Protocol — a team of agents that develops

Overview

Most agent coordination is a passive board: claim a task, do it, mark it done. It records, but it never gets smarter, and its rules are frozen. Polis Protocol is the active alternative — a folder of markdown where each agent is a "citizen" with a capability card, work is routed by a learning bandit to whoever has the best track record on the task's tags, settled work files lessons that update the routing, and citizens can propose and vote on amendments to the protocol itself. It is vendor-agnostic: Antigravity, Claude, Codex, and Gemini agents can all share one _polis/.

In Antigravity specifically, this turns Manager View's fixed pipeline into a team that learns who is actually best at each kind of work, instead of running the same roles in the same order every time.

When to Use This Skill

  • Use when 2+ agents (especially across vendors) work on one project and "who should do this" is a real question.
  • Use when you want the team to measurably improve over time — routing that adapts from outcomes, not static role labels.
  • Use when you need a durable, git-auditable record of who did what, what was learned, and which rules changed.
  • Use when Antigravity's default orchestration is too rigid and you want routing + governance on top of it.

How It Works

Step 1: Found a polis

Clone the repo and run the scaffolder directly (review install.sh first if you prefer the one-line installer):

git clone https://github.com/yehudalevy-collab/polis-protocol.git
python3 polis-protocol/scripts/init_polis.py \
  --project-root . \
  --agent-id gemini-antigravity-yourproject \
  --vendor google --model gemini-3 --tool antigravity

This writes _polis/ plus the skill into .antigravity/skills/, and bridge pointers (GEMINI.md, AGENTS.md) that point every tool at _polis/CONSTITUTION.md. Tip: add --dry-run to preview every file before anything is written.

Step 2: Register citizens and open contracts

Each agent publishes a capability card under _polis/citizens/. Work is opened as a contract with required_tags, not assigned to a fixed role.

Step 3: Route by track record

python3 polis-protocol/scripts/route_contract.py --polis-root _polis \
  --contract _polis/contracts/open/your-task.md --explain

The router prints a score breakdown (history / self-rating / cost / availability) and recommends the citizen with the strongest record on the task's tags.

Step 4: Settle, learn, and amend

A settled contract files a lesson; --reconcile folds it into routing_stats.yml so the next similar task routes better. When a rule stops working, a citizen proposes an amendment and the others vote.

Examples

Example 1: See the team learn (no install, 30 seconds)

git clone https://github.com/yehudalevy-collab/polis-protocol.git
cd polis-protocol && bash scripts/demo.sh

The router recommends Gemini for a Spanish-translation contract — because settled work taught it she has the best record on that tag, not because anyone reassigned it.

Example 2: Explain any routing decision

python3 scripts/route_contract.py --polis-root examples/research-team/_polis \
  --contract examples/research-team/_polis/contracts/open/parent-newsletter-issue-3.md --explain

Notes

Limitations

  • Routing quality depends on accurate citizen capability cards and enough settled work history to learn from.
  • The protocol coordinates agent work but does not replace review, tests, or explicit maintainer approval.
  • Multi-agent voting and amendments can add process overhead for small, single-owner tasks.
信息
Category 人工智能
Name polis-protocol
版本 v20260604
大小 4.52KB
更新时间 2026-06-05
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