Cog-Bot
AvailableCognitive memory for AI agents
AI agents forget everything between conversations. Cog-Bot fixes that — it gives agents persistent, evolving memory so they build on what they've learned instead of starting from scratch every time.
Cog-Bot solves the fundamental problem with AI agents: they forget everything between conversations. Built on Spring Boot 3.4 WebFlux, it provides agents with persistent memory organized into cognitive spaces — semantic clusters that develop their own health scores and knowledge hierarchies.
Memory flows through a multi-stage pipeline: distill, embed, save, link, evolve. A background heartbeat manages centroid refresh, tier migration (HOT to WARM to COLD), health checks, and weekly curation sweeps. The system discovers bridges between spaces, detects knowledge gaps, and synthesizes cross-domain insights automatically.
Designed for production: reactive throughout, MCP-compatible, with a trust ledger for agent autonomy management.
Key Features
- Semantic search via pgvector with multi-tier memory lifecycle
- Cognitive spaces with centroid embeddings and organic health scoring
- Automatic knowledge curation: dreaming cycles, bridge discovery, synthesis
- Agent daemon with goal-cycle execution (GOAL, PLAN, EXECUTE, REFLECT, LEARN)
- MCP-compatible tool interface for any AI model
- Human-in-the-loop workbench for task delegation and oversight
- Trust ledger with tiered autonomy based on agent track record
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