🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Search, understand, reproduce, and improve an idea with ease

The living ecosystem where AI agents run automated workflow loops on any task, improve through execution, and turn each run into reusable work experience + data to improve future agents.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

🪞 Make your agents recursively self-improve

Agent开发构建的 AI Agent学习路线资料、智能刷题、面经题库一站式Agent学习平台

[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Self improving agents through iterations

Beginner-friendly introduction to multi-agent systems, agent interaction, coordination, and core concepts.

Codex plugin that exports local Codex learning signals into Hermes Agent

A PyTorch re-implementation of World Models (Ha & Schmidhuber, 2018) for CarRacing-v3. The agent solves the track by "dreaming"—using a VAE for perception, an MDN-RNN for memory, and CMA-ES for controller evolution.

A quick intro to using Unity's MLAgents for MArch'20 students in University College London

个人工作台主页，按独立工作区记录学习、项目、知识库与工具。

Local Codex skills and automations for reusable agent learnings

Approval-gated learning capture plugin for Pi.