Stars
Copilot Chat extension for VS Code
A repo lists papers related to LLM based agent
Code for the paper "Coding Agents with Multimodal Browsing are Generalist Problem Solvers"
Highlight and capture the web in your favorite browser. The official Web Clipper extension for Obsidian.
Open-source implementation of AlphaEvolve
Clara — Privacy-first, fully local AI workspace with Ollama LLM chat, tool calling, agent builder, Stable Diffusion, and embedded n8n-style automation. No backend. No API keys. Just your stack, you…
The #1 open-source SWE-bench Verified implementation
Let your Claude able to think
Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions in web browsers
Agent Reinforcement Trainer for training multi-turn agents using GRPO
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨
List of anti-detect and humanizing tools and browsers, including captcha solvers and sms-activation.
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Trae AI & Cluely (And other Open Sourced) System Prompts, Tools & AI Models.
c/ua is the Docker Container for Computer-Use AI Agents.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Agent S: an open agentic framework that uses computers like a human
Dynamically create Pydantic models from JSON schemas
My first attempt at building an AI "agent". The agent will try iteratively solving Advent of Code puzzles.
Build resilient language agents as graphs.
description: "An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
11 Lessons to Get Started Building AI Agents
The all-in-one Desktop & Docker AI application with built 433A -in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.