开发者条目库

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

shadcn/ui, but for building agents.

potato: the portable annotation tool

One task, one agent, delivered. The open-source platform for task-driven autonomous AI agents.OpenCow assigns an autonomous AI agent to every task — features, c

Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"

A feature-rich portal to chat with GPT-4, Claude, Gemini, Mistral, & OpenAI Assistant APIs via a lightweight Node.js web app; supports customizable multimodalit

An MCP server for loading skills (shim for non-claude clients).

Python package for LLM compression

Regal is a linter and language server for Rego, bringing your policy development experience to the next level!

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure.

Stop degrading your model's reasoning. A minimal, zero-config AI coding agent. Enforced ephemeral subagents keep context pure. From tiny local models up to Sol,

A smarter web fuzzing tool that combines local LLM models and ffuf to optimize directory and file discovery