Mnemo Cortex
Open-source memory coprocessor for AI agents with persistent recall, semantic search, and crash-safe capture.
Mnemo Cortex overview
Mnemo Cortex is an open-source memory coprocessor for AI agents. It focuses on persistent recall, semantic search, crash-safe capture, and sidecar-style memory without requiring hooks.
Memory coprocessor model
Mnemo Cortex frames memory as a sidecar coprocessor for AI agents.
A sidecar memory layer can be reused without replacing the agent host.Persistent semantic recall
The project focuses on persistent recall and semantic search.
Agents need relevant prior context, not only longer chat transcripts.Crash-safe capture
Mnemo Cortex advertises crash-safe capture.
Memory systems should preserve important context even when an agent run fails.When to use Mnemo Cortex
Agent session continuity
Preserve useful context across repeated agent runs.
Semantic memory search
Retrieve prior notes, decisions, and context by meaning rather than exact text.
Local memory experiments
Evaluate sidecar memory with local or OpenClaw-style agent setups.
How it compares
Compare it with nearby memory systems by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
Questions
Is Mnemo Cortex open source?
Yes. The GitHub repository is listed under the MIT license.
Who should evaluate Mnemo Cortex?
Builders experimenting with persistent sidecar memory for AI agents should evaluate it.