ToolAI.io · Канал GitHub
Фактический каталог проектов по разработке LLM, агентов, MCP, RAG и AI с информацией о лицензии, настройке, скачивании, скриншотами и связанными ресурсами для каждой записи.
Данные публичного репозитория
google/adk-python
An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
pydantic/pydantic-ai
A Python agent framework designed to help developers build production-grade applications and workflows with Generative AI, emphasizing type-safety, structured validation, and ergonomic design.
nvidia-nemo/speech
A scalable generative AI framework built for researchers and PyTorch developers working on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.
langchain-ai/open-swe
Open SWE is an open-source framework for building internal coding agents. Built on LangGraph and Deep Agents, it provides cloud sandboxes, Slack/Linear/GitHub invocation, subagent orchestration, and automatic PR creation for engineering organizations.
genkit-ai/genkit
Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.
potpie-ai/potpie
Potpie transforms a codebase and software development lifecycle into a living context graph for AI agents, indexing code, structure, decisions, source history, and team knowledge to enable context-aware coding, planning, and debugging.
homeassistant-ai/ha-mcp
A comprehensive Model Context Protocol (MCP) server enabling AI assistants to interact with, configure, build, and debug Home Assistant smart home setups using natural language.
opencsgs/csghub
CSGHub is an open-source, on-premise platform for managing the full lifecycle of Large Language Model assets, including models, datasets, spaces, and code, offering functionality comparable to a private Hugging Face.
agentscope-ai/reme
ReMe is a local-first memory layer for AI agents that transforms conversations and resources into readable, editable, and searchable Markdown memory files.
modelscope/evalscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
tensorflow/tensorflow
A machine learning framework for building, training and deploying models.
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