Runs a self-hosted meeting bot and transcription API that joins Google Meet, Teams and Zoom and streams speaker-attributed transcripts in real time. Compiles meetings into a git-backed Markdown workspace and runs sandboxed agents on your infrastructure; Apache-2.0 and air-gap capable.
Desktop AI client that unifies cloud and local LLMs, tool calling (MCP), installable Skills, and ACP agent integration into a single multi-window workspace. Supports local Ollama models, multi-provider configuration, remote control, and privacy-focused local storage.
Collects the leaked and reverse-engineered system prompts, internal tool definitions, and model configs of 25+ proprietary AI coding assistants — Cursor, v0, Devin, Replit, Windsurf, Claude Code and more. Reveals what each is told to do.
Build and run configurable multi-agent LLM workflows and personal AI agents locally or with cloud LLMs; supports simple TOML-based LLM configuration, optional browser automation, a demo on Hugging Face, and companion RL tuning (OpenManus-RL) for agent training.
Provides 7×24 automated customer service for the Xianyu marketplace with multi-expert routing, context-aware dialogue, and a laddered bargaining system. Built in Python and designed to run against an LLM provider with browser-cookie integration for web interactions.
Lets an LLM read, search, and send your personal WhatsApp messages, contacts, and media through MCP. A Go bridge speaks to WhatsApp's web multidevice API and stores the full history in local SQLite, so data stays on your machine until a tool is invoked.
Archive of extracted and leaked system prompts behind major AI chatbots — Claude, ChatGPT, Gemini, Grok, Copilot, Perplexity and more — sorted by vendor and version with update dates, so you can read the hidden instructions and track how they change.
Demonstrates orchestration of specialist customer-service agents built with the OpenAI Agents SDK, pairing a Python backend for agent logic with a Next.js UI (ChatKit) to visualize routing, guardrails, and demo flows. Useful for prototyping multi-agent customer-service workflows; uses mock flight data and requires an OpenAI API key.
Provides a visual, low-code environment to build, debug, and deploy AI agents—integrates model services (OpenAI, Volcengine), RAG, plugins, workflows, and a Chat SDK for embedding agents into apps.
Source code for the GitHub Copilot Chat extension in VS Code: inline chat, an agent mode that plans and edits files autonomously, next-edit suggestions, and MCP integration. Open-sourced so developers can study how Copilot connects to an editor.
Bundles Langflow, Docling, and OpenSearch into one installable package so you can ingest messy documents, run agentic retrieval with re-ranking, and chat over your own knowledge base. Ships Python/TS SDKs and a built-in MCP server at /mcp.