Code & Development · GitHub ·42 ★

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/openexp

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What openexp can do

  • Crm — crm task automation.
  • Llm — llm task automation.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is openexp?
Q-learning memory for AI agents. Outcome-based rewards from predictions, CRM events, calibration & retrospective. 17 MCP tools, hybrid retrieval, 5 reward paths.
How do I install openexp?
Use git: `git clone https://github.com/anthroos/openexp`. Full setup details on the source page linked above.
Is openexp open source?
openexp is published on GitHub.
What are alternatives to openexp?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for openexp is sourced from GitHub, published by anthroos.

Last scraped: · First indexed:

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