Marketplace des agents

An agent design team you control: 10 agents that run an inclusive design process while you direct.

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.

A fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code.

Agent Graph is a Multi-Agent System built on the principles of Context Engineering

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

The work experience layer for autonomous agents. Open-source core: https://github.com/ShuxinYang111/oysterworkflow-core

Eva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, Modular design. Built-in voice & face recognition. Plug'n play tools. Compatible with ChatGPT, Claude, Deepseek, Gemini, Grok, and Ollama. Explore the possibilities of Human-AI Interaction.

An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.

Chat application with multi-agents system supports multi-models and MCP

A curated list of code samples and tutorials for building agents on Gemini Enterprise Agent Platform (previously Vertex AI).

An open source, agentic Loom alternative. Record locally, make recordings AI-ready, and run workflows on top

A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.

LazyOwn RedTeam/APT Framework is the first RedTeam Framework with an AI-powered C&C, featuring rootkits to conceal campaigns, undetectable malleable implants compatible with Windows/Linux/Mac OSX, and self-configuring backdoors. With its Web interface and powerful Console Client, it is the best combination for your Autonomous RedTeam/APT campaigns.

A personal agent that writes its own tools and repairs itself — Make AI actually work for you.

This is a repository for the course "Agentic AI Engineering" by Towards AI.

Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

Source code teardowns of 15 AI coding agents. What is actually inside Claude Code, Dify, OpenHands, Cline, MemPalace, oh-my-codex, Goose, Codex CLI, and 7 more. Architecture diagrams, design patterns. Every claim fact-checked.

Simplify interactions with Large Language Models

A portable, provider-agnostic specification for AI agent personas

A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

Lightweight multi-agent gridworld Gym environment

🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models