Solitaire: Open-Source Identity Infrastructure for AI Agents
Solitaire is an open-source identity infrastructure project for AI agents that addresses how agents improve their working relationship with users over time, rather than just focusing on memory recall. The project has been in production since February 2024, with development shaped by 600+ real user sessions.
Key Features
The system emphasizes local-first architecture with:
- All storage using SQLite + JSONL in your workspace directory
- Zero network requests from the core engine
- No cloud dependency, no telemetry, no external API calls for memory operations
- Automatic rolling backups without any setup
- All data stays on your machine
Core Functionality
Solitaire includes several technical components developed through production use:
- Persona and behavioral identity that compiles from real interaction, not static config
- Retrieval weighting that adjusts based on what actually proved useful
- Self-correcting knowledge graph with contradiction detection, confidence rescoring, and entity relinking
- Tiered boot context so the agent arrives briefed, not blank
- Session residues that carry forward how the work felt, not just what was discussed
- Guided onboarding where new users build a partner through conversation, not a JSON file
Installation and Compatibility
Install via: pip install solitaire-ai (note: NOT install solitaire, which is an unrelated package)
The architecture is model-agnostic and currently runs on:
- Claude Code
- Cowork
- Hermes
- OpenClaw
- Gemini CLI
A Dify plugin is in prototype, with work ongoing for Open LLM integration.
Current Status
The system has processed 600+ sessions with 15,700+ entries in real production use. It's available on PyPI and the MCP Registry. Two research papers from the longitudinal work are currently in review.
License: AGPL-3.0, with commercial licensing available for proprietary embedding.
The developer is seeking feedback on top-requested integrations, areas for improvement in the memory layer, and any missed opportunities.
📖 Read the full source: r/LocalLLaMA
👀 See Also
Git pre-commit hook prevents AI coding agents from committing with stale documentation
A developer created a Git pre-commit hook that blocks commits when documentation files are outdated, specifically addressing issues with AI coding agents like Claude Code, Cursor, Windsurf, and Copilot. The tool exits with error code 1 to force AI agents to update documentation before proceeding.
Claude Code Verification Bottleneck and Browser Automation Plugin Solution
A developer reports that verification remains the slowest part of using Claude Code, requiring manual testing of features. They found a browser automation plugin that lets the agent verify real product flows before marking tasks complete.
Exporting AI Agent Memories Using Claude's Import Function
A Reddit user shares a prompt for extracting stored memories from AI agents like ChatGPT and Claude, then importing them into OpenClaw. The prompt requests all stored context including instructions, personal details, projects, tools, and preferences.
Corey Haines' Marketing Skills Set for AI Agents
A set of 25 marketing skills for AI agents has been added to OpenClaw, covering conversion optimization, copywriting, analytics, and growth engineering. The conversion optimization skill is noted as particularly effective in multi-agent setups.