LaunchKit · 2026
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cortex-ai

Persistent memory for AI agents by Sigma Labs.

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by @waynevaughan

Setup & Installation

openclaw skills install @waynevaughan/cortex-ai

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install cortex-ai

What This Skill Does

Cortex gives AI agents persistent memory across sessions using a file-based, git-tracked store. It combines a behavioral memory layer (Mind) with a document store (Vault) and hybrid search across BM25, semantic, and temporal signals. No LLM calls are required for storage or retrieval.

Every write is a git commit, making the full memory history auditable, diffable, and portable without an external database or LLM dependency.

When to use it

  • Retaining agent decisions and lessons between sessions
  • Searching past agent interactions by topic or recency
  • Auto-extracting entities and facts from conversation history
  • Versioning agent memory as git commits for auditability
  • Tracking user preferences across multiple agent runs

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: 'Remember that we prefer TypeScript over JavaScript for all new projects'

AGENT
  1. 1Observer extracts the preference from the conversation
  2. 2Mind stores it as a typed preference entry with reinforcement metadata
  3. 3Vault writes the entry to disk and creates a git commit
  4. 4Hybrid search index is updated for future retrieval
OUTPUT

Preference persisted as a versioned, searchable memory entry available in all future sessions