AI desktop agent that sees your screen, controls your cursor, and completes tasks autonomously. Features a 5-layer intelligent fallback pipeline, multiple AI providers (Anthropic/OpenAI/Ollama/Kimi), with Web Dashboard and REST API.
A modular voice AI platform based on LiveKit and OpenAI Realtime API, integrating RAG knowledge retrieval, JWT authentication, and MongoDB persistence for real-time outbound calling and domain-specific conversations.
A four-service collaborative AI desktop assistant framework with streaming tool calling, GRAG knowledge graph memory, Live2D avatar, and voice interaction
An open-source framework for building, evaluating, and training general multi-agent systems. Features natural language agent creation, distributed reinforcement learning training pipeline, and complex environment interactions. Ranks top on authoritative benchmarks including GAIA, OSWorld, and VisualWebArena.
A local-first AI workspace built on Rust and Tauri, acting as an AI coworker for secure, supervised automation on any folder. Supports multiple LLM backends, MCP protocol extension, and multimodal file processing.
A lightweight yet complete LLM/Agent application development framework. Uses decorators to transform function signatures and docstrings into prompts, enabling type-safe LLM capabilities without function body implementation. Features multi-provider support, multimodal I/O, tool calling, streaming, API key load balancing, and Langfuse observability integration.
An open-source full-stack framework for autonomous computer agents, enabling control of browsers, terminals, and desktop apps via natural language in Docker VMs. Maintained by coasty-ai under Apache 2.0 license, achieving 82% on OSWorld Benchmark.
A local-first AI desktop application integrating conversational AI, visual generation, vector search, and multi-channel connectivity, featuring deep research modes and local knowledge bases.
A collection of official quickstart projects by Anthropic for the Claude API, featuring complete sample applications for customer support, data analysis, computer control, browser automation, and autonomous coding, deployable via Next.js, Docker, and Python.
No-code LLM platform to launch APIs and ETL pipelines that structure unstructured documents—the Data Layer for your Agentic Workflows. Features Prompt Studio for visual prompt engineering, one-click deployment, and close to 100% accuracy with LLMChallenge verification.
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