- Builders testing persistent memory for agent workflows
- Teams that want semantic recall without wiring custom hooks everywhere
- OpenClaw and local agent users evaluating sidecar memory
Memory Systems
Mnemo Cortex
Open-source memory coprocessor for AI agents with persistent recall, semantic search, and crash-safe capture.
0.1K Stars
MIT License
0.0K Forks
Open source
About
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. Use cases
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.
Compare
How it compares
When to choose Mnemo Cortex
Compare it with nearby memory systems by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
FAQ
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.
Tags
Capabilities
Decision brief
JSON
Should you use Mnemo Cortex?
- Projects that only need document search
- Teams that require a mature enterprise memory platform today
- Verified 2026-06-11
- License: MIT
- Repo: GuyMannDude/mnemo-cortex
- Open-source signal
Deployment
Check source
Permission surface
memory
Decision signals
No extra signals recorded
Agent packet
Structured decision data for Mnemo Cortex
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
memory, context retrieval, state
Constraints
open source
Deployment
Check source
Permission surface
memory
Recommended workflows
Evaluation and observability, Memory or RAG workflow
Overview
What Mnemo Cortex does
What it is
It provides persistent recall, semantic search, and crash-safe capture as a memory sidecar.
Why it matters
Agent memory should be durable, inspectable, and reusable across runs.
How to evaluate it
Start by connecting it to one low-risk agent workflow, then compare recall quality and failure recovery with and without the memory layer.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type memory system
Category Memory Systems
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-11
Source confidence medium
Risk level low
Fit matrix
Where Mnemo Cortex fits in an agent stack
strong
Evaluation and observability
Mnemo Cortex has multiple signals for evaluation and observability, including matching tags, capabilities, category, or positioning.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Memory or RAG workflow
Mnemo Cortex has multiple signals for memory or rag workflow, including matching tags, capabilities, category, or positioning.
- Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Browser automation
Mnemo Cortex has at least one signal for browser automation, but should be checked against a real task before adoption.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Coding agent workflow
Mnemo Cortex has at least one signal for coding agent workflow, but should be checked against a real task before adoption.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Local or private AI stack
Mnemo Cortex has at least one signal for local or private ai stack, but should be checked against a real task before adoption.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Reusable skill workflow
Mnemo Cortex has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Documents, user facts, entities, context, or retrieval queries
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- Retrieved context, memory updates, graph relations, or citations
- Scores, traces, regression results, dashboards, or failure cases
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
Mnemo Cortex is listed as open source.
License metadata: MITMnemo Cortex has a recorded GitHub repository: GuyMannDude/mnemo-cortex.
Resource facts and GitHub source link.Mnemo Cortex is tagged with memory, context retrieval, state capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating Mnemo Cortex
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open source Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about Mnemo Cortex
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.