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
Aura Research: Local tool compiles documents into AI-navigable wiki with persistent memory
Aura Research is an open-source tool that processes raw documents (PDFs, papers, notes, code, 60+ formats) into a structured markdown wiki with backlinked articles, concept pages, and a master index. It compresses everything into a .aura archive optimized for RAG retrieval and runs 100% locally with no data leaving your machine.
Integrating Local LLM Agents with ComfyUI for Natural Language Batch Image Generation
A developer shares how they wired their local OpenClaw agent to ComfyUI, enabling natural language commands for batch image generation workflows. The integration uses a custom agent skill that maps English requests to ComfyUI workflow JSON and handles API communication.
mistral.rs Adds Support for Gemma 4 12B: Multimodal, Agentic, and MTP
mistral.rs now supports Gemma 4 12B with multimodal, agentic, and MTP integration. One-step install and run with web search, code execution, and built-in UI.
VectorClaw v1.0.0: MCP Server for Anki Vector Robot Control
VectorClaw v1.0.0 is an MCP server that enables OpenClaw to control Anki Vector robots through 23 specific tools for speech, motion, perception, sensors, and display functions.