edit-mind vs cortex-memory

Common questions

What is the difference between edit-mind and cortex-memory?

edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. cortex-memory: Persistent AI memory for coding sessions, auto-capturing decisions and context.. See the comparison table for live GitHub stats and shared categories.

When should I choose edit-mind over cortex-memory?

Choose edit-mind over cortex-memory when License: edit-mind is Other, cortex-memory is MIT; Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.; Tags unique to edit-mind: computer-vision, face-recognition, ml, self-hosted; Also covers Computer Vision; edit-mind ships Docker support for self-hosted deployment; The environment requires self-hosted operations without dependence on external servers or APIs.

When should I choose cortex-memory over edit-mind?

Choose cortex-memory over edit-mind when License: cortex-memory is MIT, edit-mind is Other; Pricing: The tool is open-source under the MIT License, making it free to use, but additional features or services may come at a cost.; Requirements: Min 2 GB RAM; Requires a compatible AI coding assistant like Claude Code, Cursor, or Cline.; Works best with VSCode, but also supports CLI and MCP server.; Tags unique to cortex-memory: ai-coding-assistant, ai-memory, claude, claude-code; Also covers Developer Tools; When you are working with specific AI coding assistants like Claude Code, Cursor, or Cline and need persistent memory across coding sessions.

When should I avoid edit-mind?

The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support. If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations. This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing.

When should I avoid cortex-memory?

If you are not using AI coding assistants like Claude Code, Cursor, or Cline, as cortex-memory is specifically designed to work with these tools. When you prefer a tool that does not automatically capture decisions and context, and you want full control over what is stored and retrieved. If you are working in an environment where zero-configuration tools are not suitable, and you require extensive customization options.

Is edit-mind or cortex-memory more popular on GitHub?

edit-mind has more GitHub stars (1,805 vs 8). Stars measure visibility, not whether either tool fits your constraints.

Are edit-mind and cortex-memory open source?

Yes - both are open-source projects on GitHub (edit-mind: Other, cortex-memory: MIT).

Where can I find alternatives to edit-mind or cortex-memory?

GraphCanon lists graph-backed alternatives at edit-mind alternatives and cortex-memory alternatives (edit-mind markdown twin, cortex-memory markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, edit-mind or cortex-memory?

edit-mind: Steady. cortex-memory: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for edit-mind and cortex-memory?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edit-mind trust report; cortex-memory trust report.