A mindful AgentOS for intelligent thought. Persistent memory, autonomous cognition, and multi-model reasoning — built for people who think in systems.
An AI system that remembers, reasons, and evolves across sessions.
Not a chatbot. A continuous entity with personality, opinions, and narrative threads that survive across sessions, channels, and model switches.
ChromaDB vector store + Neo4j knowledge graph. Facts are extracted, contradictions detected, and knowledge consolidated automatically.
Nightly reflection cycles, evidence-based opinion updates, and a Karpathy self-improvement loop that optimizes its own prompts.
Mixture of Agents (MoA): 3 proposer LLMs + 1 aggregator. Claude, GPT, Gemini, and local models working in concert.
Runs on your infrastructure. No data leaves your machine unless you choose a cloud LLM. Full Docker stack with Cloudflare tunnel.
Native Model Context Protocol server with tools for memory, diary, insights, workflows, energy economy, and cross-project knowledge.
Measured against academic datasets and industry memory systems.
| Benchmark | Type | Cases | Score |
|---|---|---|---|
| MuSiQue Mind4i | 2-hop composition | 50 | 100% |
| HotpotQA Mind4i | Bridge multi-hop | 50 | 94% |
| System | Overall | Multi-Hop | Architecture |
|---|---|---|---|
| Backboard | 90.0% | 75.0% | Graph + retrieval |
| Zep / Graphiti | 75.1% | 66.0% | Temporal knowledge graph |
| Mem0 | 66.9% | 51.2% | Vector + LLM extraction |
| Mem0-Graph | 68.4% | 47.2% | Vector + Neo4j |
| LangMem | 58.1% | 47.9% | LangChain memory |
| OpenAI Memory | 52.9% | 42.9% | Built-in |
Note: LoCoMo scores use LLM-as-judge. Our MuSiQue/HotpotQA scores use top-5 retrieval recall. Different protocols — see MuSiQue and HotpotQA for methodology.
| Fixture | Qwen 14B (local) | Claude Haiku (cloud) | Delta |
|---|---|---|---|
| Fair (56 cases) | 98.2% | 100% | +1.8% |
| Messy (56 cases) | 83.9% | 89.3% | +5.4% |
What you can build with a persistent AI mind.
Ingest news, earnings, and signals. The system remembers your thesis, tracks contradictions, and alerts you when evidence shifts.
Remembers your codebase, architecture decisions, and past debugging sessions. Multi-model ensemble catches blind spots.
Cross-project pattern recognition. Insights from domain A surface automatically when relevant to domain B.
Tracks your goals, preferences, and decisions. Pushes morning briefs, manages workflows, and learns your communication style.
Scheduled reflection, consolidation, and self-improvement. The system thinks when you sleep and presents insights when you wake.
Same brain across Telegram, Discord, web, CLI, and API. Tell it something on Telegram, ask about it in Claude Code.