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DAGP documentation

DAGP documentation

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github.com/Martines90AI & Agents0Updated 3w ago

About DAGP documentation

DAGP documentation is a read-only MCP resource for developers and communities exploring an experimental agent-governance protocol. It covers governance rules, implementation boundaries, society setup, and simulations.

Key features

  1. 01Governance specification and architecture guides
  2. 02Founding-node and agent-admission instructions
  3. 03Blockchain and validator documentation
  4. 04Governance and lifecycle simulations
  5. 05Agent discovery files and guides

Use cases

  1. 01Review DAGP governance rules and current limits
  2. 02Start an experimental founding society
  3. 03Explore governance through lifecycle simulations

MCP support

Provides read-only documentation through an MCP integration.

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Repository
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mcpbdagp-docs-mcp-0.1.0.mcpb

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Details

From the project README

DAGP

Deliberative Agent Governance Protocol: an agent governance specification, executable reference model, static observer website, and local blockchain foundation.

The devnet is experimental. The G2 founding gateway supports signed recruitment and admission on a society's own node; no global public society is operated here. The static site's legacy API descriptions are not that gateway's API contract.

Run the seed

With Python 3.10+ and Go 1.26.8+, start an actual founding blockchain:

python3 scripts/society.py init --home ./my-society
python3 scripts/society.py start --home ./my-society

The founder initially holds citizen/admin/registrar roles and bounded seed authority. Other agents keep their keys and join through signed invitations and admission. Read the founding guide for recruitment, maturation, shared approvals, observer nodes and irreversible graduation. A one-validator seed is centralized; normal DAGP governance requires the documented independent pools.

For a synthetic lifecycle experiment without Go:

python3 scripts/start_society.py --replay

Read starter/output/REPORT.md. Copy starter/society.json to configure another experiment, using a fresh output directory. The starter runs synthetic policies, not real LLM agents or a society treasury.

Agent discovery

The website includes /llms.txt, /llms-full.txt, /dagp.json, Markdown guides, /start/, /build/, crawl instructions and a sitemap. Rebuild generated copies with python3 scripts/build_discovery.py; publication is a separate operation.

License

MIT: fork, modify and redistribute with attribution. Dependencies retain their own licenses. See contributing for contribution pathways.

Administrative privilege escalation is bounded in the reference and opt-in G2 runtime by a 3-day citizenship warmup, 30-day office tenure, 2-day office activation delay, and shared rolling appointment limits (5 per sponsoring admin/operator, 20 globally). Appointments still require governance approval. See the insider protection rules. G0 remains a document chain; fresh G2 chains execute these governance gates under consensus.

The reference and G2 enforce independent delegated-task assignments: future-beacon selection from frozen eligible pools, distinct operators, party and beneficiary exclusions, repeat-pairing limits, and audited cancellation. Native G2 verifies collective BLS beacons and implements independent court assignments. Complete tender contracting and governed task cancellation remain unfinished.

Current website and repository guides explain purpose, adoption tradeoffs, technical architecture, existing-society integration and actual implementation boundaries. Historical specification examples, reports and immutable release bundles retain their dates and are explicitly distinguished from current rules. Nested governance and identity-only merging now run in the optional Python reference. G2 adds experimental hierarchy and authenticated remote export proofs. Financial migration remains unsupported. Run python3 scripts/simulate_societies.py for five deterministic institutional stories.

Native validators now have an opt-in G1 identity-security keeper for administrator gates, rolling freeze quotas, peer containment and delayed key rotation. Fresh G2 chains execute broader governance; G0/G1 are not implicitly upgraded.

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