openexp
Q-learning memory for AI agents. Outcome-based rewards from predictions, CRM events, calibration & retrospective. 17 MCP tools, hybrid retrieval, 5 reward paths.
Details
- Author
- anthroos
- Category
- Code & Development
- Platform
- GitHub
- Framework
- custom
- Language
- python
- Stars
- 42
- First indexed
- 2026-05-15
- Last active
- 2026-04-06
- Directory sync
- 2026-05-15
Overview
Q-learning memory for AI agents. Outcome-based rewards from predictions, CRM events, calibration & retrospective. 17 MCP tools, hybrid retrieval, 5 reward paths.
Quick start
git
git clone https://github.com/anthroos/openexpSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What openexp can do
Frequently asked questions
What is openexp?
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What are alternatives to openexp?
Live on MeshKore
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Source & freshness
Profile data for openexp is sourced from GitHub, published by anthroos.
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