An auditable, reversible, evaluable local agent runtime that turns feedback into skills — and ships them only when evidence and tests say so.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Experimental Drosophila-inspired camera-to-robot bridge. Working mock neural backend, optical flow, IMU feedback and UDP motor control. MaleCNS integration planned.
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Textbook on reinforcement learning from human feedback
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
A self-learning system for Claude Code that captures corrections, positive feedback, and preferences — then syncs them to CLAUDE.md and AGENTS.md.
Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.
:milky_way: Open Source AI for large scale open ended feedback
Build calibrated AI Functions from human feedback using Jev and GEPA.
Astra Skill Optimizer for GPT-6/Astra project Skill and workflow adaptation
Auditable human-feedback annotation, review, provenance, and frozen training-data export.
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
Show it. Say it. Your AI gets it. Record your screen and talk — your coding agent turns it into bugs, ideas and to-dos, with the exact frames marked. 口喷鸡:边看边喷,AI 全懂。Agent Skill + macOS menu-bar app for Claude Code / Codex.
A human-dopamine-inspired AI agent skill that adapts effort, learns from feedback, and delivers the smallest verified solution.
VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation. To our knowledge, it's the first reward model for joint video-audio generation
Personal AI research scout for daily ArXiv discovery, ranking, and feedback
A curated paper list on On-Policy Distillation (OPD) & On-Policy Self-Distillation (OPSD) for LLMs — student rollouts + teacher feedback, covering white-box/black-box methods, OPD-RL hybrids, agentic & multimodal applications, and industrial multi-teacher recipes.
Learning how to cook AGI from models, data, memory, search, feedback, and evaluation.
Sparse-supervision LLM routing that accounts for upfront feedback acquisition and deployment payback.
A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.