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The SIMA2-Agent (Scalable, Instructable, Multiworld Agent) is an experimental framework designed to bridge the gap between high-level language reasoning and low-level environment interaction.

Fault-tolerant AI agent orchestration for Go with Erlang-style supervision

Self-hosted multi-agent AI runtime with MCP server support. Build, orchestrate, and run autonomous agents with memory, skills, schedules, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama).

A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.

Code repo for the paper: Attacking Vision-Language Computer Agents via Pop-ups

[NeurIPS 2024 D&B] VideoGUI: A Benchmark for GUI Automation from Instructional Videos

AgentLens — Observability and Explainability for AI Agents

Browser based Interface for Generative AI. Chat/Agent/Taskmanager Hybrid.

Agent Hub is an AI orchestration platform that transforms how developers and DevOps engineers interact with their toolchain. Built on the cutting-edge Model Context Protocol (MCP), it provides intelligent automation through specialized AI agents, seamlessly integrating with GitHub, Azure, security tools, and data processing

基于 Mcp 架构的 ChatBI，是一种数据分析智能体的解决方案

LLM Agent that leverages cheminformatics tools to provide informed responses.

ALICE and its prior work, Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality