This commit completes the transition to a pure LLM-driven agentic
governance system with no hard-coded governance logic.
Core Architecture Changes:
- Add structured memory system (memory.py) for tracking governance processes
- Add LLM tools (tools.py) for deterministic operations (math, dates, random)
- Add audit trail system (audit.py) for human-readable decision explanations
- Add LLM-driven agent (agent_refactored.py) that interprets constitution
Documentation:
- Add ARCHITECTURE.md describing process-centric design
- Add ARCHITECTURE_EXAMPLE.md with complete workflow walkthrough
- Update README.md to reflect current LLM-driven architecture
- Simplify constitution.md to benevolent dictator model for testing
Templates:
- Add 8 governance templates (petition, consensus, do-ocracy, jury, etc.)
- Add 8 dispute resolution templates
- All templates work with generic process-based architecture
Key Design Principles:
- "Process" is central abstraction (not "proposal")
- No hard-coded process types or thresholds
- LLM interprets constitution to understand governance rules
- Tools ensure correctness for calculations
- Complete auditability with reasoning and citations
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Govbot is an AI-powered governance bot that interprets natural language
constitutions and facilitates collective decision-making across social
platforms.
Core features:
- Agentic architecture with constitutional reasoning (RAG)
- Platform-agnostic design (Mastodon, Discord, Telegram, etc.)
- Action primitives for flexible governance processes
- Temporal awareness for multi-day proposals and voting
- Audit trail with constitutional citations
- Reversible actions with supermajority veto
- Works with local (Ollama) and cloud AI models
Platform support:
- Mastodon: Full implementation with streaming, moderation, and admin skills
- Discord/Telegram: Platform abstraction ready for implementation
Documentation:
- README.md: Architecture and overview
- QUICKSTART.md: Getting started guide
- PLATFORMS.md: Platform implementation guide for developers
- MASTODON_SETUP.md: Complete Mastodon deployment guide
- constitution.md: Example governance constitution
Technical stack:
- Python 3.11+
- SQLAlchemy for state management
- llm CLI for model abstraction
- Mastodon.py for Mastodon integration
- Pydantic for configuration validation
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
