cortex-engine MCP server adds persistent memory and multi-agent support
Persistent memory for AI agents
cortex-engine v0.4.0 is an open-source MCP server that provides persistent long-term memory for AI agents. Unlike typical agents that lose state when sessions end, this tool enables agents to learn and retain information over time.
Core memory tools
The server offers several key functions for MCP-compatible agents:
observe()— records facts in real-timequery()— performs semantic search through past memoriesbelieve()— tracks when understanding of a concept evolvesdream()— consolidates short-term observations into a structured knowledge graph
There are 40+ additional memory tools available. According to the developer, after several months of use, query() can retrieve context from weeks-old sessions that users had forgotten about, with the knowledge graph becoming more useful over time rather than degrading.
Multi-agent support
The latest release adds multi-agent functionality. You can run different agents (like a researcher and a coder) in the same project with isolated memory namespaces. Agents won't share memories unless explicitly configured to collaborate.
Technical implementation
The system is local by default, using SQLite with built-in embeddings and no external services required. It's both LLM and database agnostic, providing flexibility in implementation.
cortex-engine is available on npm as version 0.4.0.
📖 Read the full source: r/clawdbot
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