Replace old rule-based agent with pure LLM interpretation system.
Agent Changes:
- Rename agent.py → agent_legacy.py (preserve old hard-coded agent)
- Rename agent_refactored.py → agent.py (make LLM agent primary)
- Agent now interprets constitution to understand authority and processes
- No hard-coded checks for specific users, roles, or governance models
- Fully generic: works with any constitutional design
Constitution Interpreter:
- Updated interpret_proposal() to detect authority structures from text
- LLM determines who has decision-making power from constitution
- No assumptions about voting, proposals, or specific governance models
Mastodon Formatting:
- Improved line break handling for bullet points and paragraphs
- Better plain-text formatting for Mastodon posts
Primitives:
- Added support for admin_approval threshold type
Architecture:
- Bot now uses pure LLM interpretation instead of scripted logic
- Each instance can develop implementation guidelines separately
- Guidelines not included in main codebase (instance-specific)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Major Features:
- Mastodon integration with polling-based listener (streaming unreliable)
- Claude AI integration via llm CLI with API key support
- Public proposal announcements with voting
- Markdown stripping for Mastodon plain text
- Thread-aware voting system
Configuration:
- Added requirements.txt with all dependencies
- API key configuration in config.yaml (not streamed keys)
- Support for multiple Claude models via llm-anthropic
Platform Adapter (Mastodon):
- Polling notifications every 5 seconds (more reliable than streaming)
- Notification ID tracking to prevent re-processing on restart
- Markdown stripping for clean plain text output
- Vote thread matching via announcement IDs
Agent & Governance:
- Conversational tone (direct, concise, not legalistic)
- Proposal creation with AI-generated titles and descriptions
- Public announcements for proposals with all details
- Vote casting with automatic proposal detection from threads
- Constitutional reasoning for governance decisions
Bot Features:
- Long message splitting into threaded posts
- Public proposal announcements separate from user replies
- Announcement includes: title, proposer, description, deadline, voting instructions
- Vote tracking linked to proposal announcement threads
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>
