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Harlo
by josephoibrahim
AI coach with local-first cognitive state management using OpenUSD for persistent memory.
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Exposes:ToolsResources
What it does
Harlo is an advanced AI coach that monitors behavioral patterns, predicts burnout, and manages cognitive state locally. It uses OpenUSD composition semantics to treat memory as a 3D-like spatial structure, ensuring total privacy and zero cloud dependency.
Tools
- coach: Primary interface for AI coaching and pattern analysis.
- store/recall: Low-latency memory storage and retrieval via SDR (Sparse Distributed Representation).
- query_past_experience: Semantic search over the user's cognitive history.
- patterns: Analysis of behavioral and cognitive rhythms.
- status: Health check of the current session and engine state.
- resolve_verifications: GVR (General Verification Routine) for ensuring state consistency.
- trigger_recalibration: Initiates a fresh cognitive intake calibration.
Installation
Install Harlo and its dependencies:
pip install -e .
For Claude Desktop, add the Harlo MCP server to your claude_desktop_config.json.
Supported hosts
- claude
- cursor
Quick install
pip install -e .Information
- Pricing
- free
- Published
- 6/1/2026
- stars
