ToolAI.io · Canale GitHub
Scopri i nuovi progetti AI open source aggiunti su GitHub, con informazioni sul repository, note di configurazione, licenze e risorse correlate.
Dati del repository pubblico
neuml/txtai
txtai is a Python-based AI framework for semantic and vector search, retrieval-augmented generation, LLM orchestration, autonomous agents and multimodal language-model workflows.
artokun/comfyui-mcp
A local-first, agent-native control plane for ComfyUI that provides an MCP server and sidebar agent to generate images, video, and audio, author and run workflows, and edit live graphs using natural language across any LLM.
taichuy/1flowbase
An open-source AI gateway that allows local agent clients to publish fusion-style multi-model workflows as OpenAI and Claude-compatible virtual models, providing full observability into traces, tokens, latency, and costs.
askimo-ai/askimo
A native desktop AI client for chat, local RAG, multi-step AI workflows (Plans), and agent skills, supporting multiple cloud and local LLM providers while keeping user files strictly on the machine.
anthropics/skills
Public repository for Agent Skills
anthropics/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands
openai/openai-agents-python
A lightweight, powerful framework for multi-agent workflows
anthropics/claude-agent-sdk-python
An open-source project focused on python sdk for agent applications.
anthropics/claude-plugins-official
Official, Anthropic-managed directory of high quality Claude Code Plugins
microsoft/ai-agents-for-beginners
18 Lessons to Get Started Building AI Agents
QwenLM/Qwen-Agent
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc
microsoft/SkillOpt
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts
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