Cortex Memory

Cortex Memory provides memory management tools for autonomous systems, with search, optimization, and APIs.

github.com/sopaco/cortex-mem
Cortex Memory homepage screenshot

About Cortex Memory

Cortex Memory is an open source memory framework written in Rust for AI agents and autonomous systems, including OpenClaw. It gives these systems long-term memory that persists across sessions. The system extracts, organizes, and optimizes information through a three-tier structure (L0 Abstract, L1 Overview, L2 Detail) and a hybrid storage design that combines virtual-filesystem storage with vector-based semantic search.

The project offers access through a REST API, a command-line interface, the MCP protocol, and direct Rust library integration. Memory extraction relies on LLM-powered analysis, and vector search is performed through Qdrant. The homepage describes the project as production-ready, but this entry does not independently verify that claim. Pricing is unknown.

Key features

  • Stores memory as markdown files under a cortex:// virtual URI scheme
  • Extracts facts, decisions, and entities from conversations with confidence scoring
  • Vector similarity search through Qdrant with metadata filtering by dimension
  • Three-tier memory hierarchy for managing LLM context window usage
  • Tenant-aware isolated memory spaces within a single deployment
  • File watchers and auto-indexers for background processing and synchronization
Best for: Developers building LLM-powered chatbots, personalized AI assistants, or open source projects that need a memory component.
Good for
  • Open source, with the source code available in a public GitHub repository
  • Combines file-based storage with vector search for memory retrieval
  • Provides REST API, CLI, MCP, and Rust library access
Watch out for
  • Memory extraction depends on LLM-powered analysis
  • Vector search is performed through Qdrant, which must be set up separately

Cortex Memory at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Cortex Memory FAQ

How are memories organized?
Memories are organized under the cortex:// URI scheme across four dimensions: session, user, agent, and resources.
What handles vector search?
Vector-based semantic search is performed through Qdrant, with metadata filtering across user, agent, and session dimensions.
Can one deployment serve multiple users?
Yes. Multi-tenancy support keeps memory spaces for different users and agents isolated within a single deployment.
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