cortex-enginePersistent memory for AI agents. Knowledge survives across sessions: recall past decisions, track evolving beliefs, detect contradictions via NLI, and build a knowledge graph over time. 60 tools over MCP, with FSRS spaced-repetition scheduling and spreading-activation retrieval. Runs locally on SQLite and Ollama, so no cloud account is needed.
Install via ClawdBot CLI:
clawdbot install idapixl/cortex-engineGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Fozikio/cortex-engineAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Developers use Cortex Memory to ground code reviews in historical project decisions and patterns. By querying past authentication or architecture choices, they can identify alignment or divergence in new code, ensuring consistency and capturing novel approaches as observations.
Researchers in academia or R&D teams utilize the skill to track evolving hypotheses and findings across sessions. They record facts with observe, pose unresolved questions with wonder, and consolidate insights through periodic dreaming, building a persistent knowledge graph over time.
IT professionals employ Cortex Memory to log operational events and unresolved issues using ops_append and ops_query. This allows teams to pick up where they left off after shifts, track recurring problems, and speculate on root causes for faster resolution.
Product managers and designers use the skill to document design decisions and user feedback as observations. By querying past patterns, they ensure new features align with established user needs and record hypotheses for future testing, facilitating iterative development.
Offer the Cortex Engine as free, open-source software under MIT license, while generating revenue through paid support, consulting, and customization services for enterprises. This model leverages community adoption and monetizes advanced features or integration assistance.
Develop a cloud-based version of Cortex Memory with enhanced collaboration features, such as shared knowledge graphs and team analytics. Charge subscription fees based on the number of users or projects, targeting development teams and research groups.
License the Cortex Engine as a proprietary component for integration into larger AI platforms or enterprise software suites. Revenue comes from one-time licensing fees or ongoing maintenance contracts, focusing on industries like finance or healthcare with strict compliance needs.
💬 Integration Tip
Ensure the cortex-engine MCP server is running locally with SQLite and Ollama before skill usage, as the skill provides read-only instructions for querying and recording without direct execution.
Scored Apr 19, 2026
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