The collaboration layer for AI teams: domain experts annotate and review agent behavior, engineers improve the agent from what they find.
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Updated
Oct 21, 2026 - Python
The collaboration layer for AI teams: domain experts annotate and review agent behavior, engineers improve the agent from what they find.
An open-source cost controller for AI agent loops — stops a loop when it's actually converged and rolls back before it degrades, instead of running to a fixed max_iterations cap. Real-time loop-gain (Aβ) bands + best-so-far rollback. Adapters for LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents, and Claude Agent SDK; raw API for custom stacks.
Astra Skill Optimizer for GPT-6/Astra project Skill and workflow adaptation
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio.
ICDE 2025 Paper, Grounding Natural Language to SQL Translation with Data-Based Self-Explanations
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.
An accountability layer for investment agents: thesis cards, prediction ledgers, stock screeners, and feedback loops.
This repository contains meTTa experiments for the OpenPsi Architecture.
Explainable AI for Pneumonia Detection from Chest X-rays. Fast Streamlit app with GradCAM visualizations, human-in-the-loop feedback and retraining, batch processing, audit logging, and full Docker support. Privacy-first, clinically inspired, and ready for research, demo, or hospital use.
Reflexion episodic failure memory buffer accumulating self-critiques and trial corrective plans
Reflexion episodic failure memory buffer accumulating self-critiques and trial corrective plans
Self-Regulating Systems
Turn goals, existing Skills, and authorized work records into bounded Agent Loops, then export a Codex Skill or Compact Prompt with separate verifiable evidence.
A self-improving personal state system: an AI agent reads your journal through PAD emotion, security/hope (G) and growth (XP) lenses, asks for your feedback, and turns it into rules. Python stdlib only.
Generative Feedback Loops with Neon serverless Postgres, Azure Functions, and Azure OpenAI
PyPlasmaFractal: A Python application for real-time generation of complex fractal noise visuals with feedback effects, featuring interactive controls, diverse effects, and video recording capabilities.
An external runtime for evidence-based agent recursive self-improement.
AI-driven GEO content operating system: analysis, generation, semi-automated distribution, and feedback optimization loop.
Self-improving feedback loop for Claude Code. Makes Claude learn from its mistakes across sessions.
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