ToolAI.io · Canal de GitHub
Sigue repositorios de AI de código abierto activos en los ámbitos de LLM, agentes, MCP, RAG y programación, con su número de estrellas y datos de proyectos verificados.
Datos del repositorio público
infiniflow/ragflow
RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document ingestion, retrieval, grounded citations, configurable language and embedding models, and agent capabilities to provide context for LLM applications.
eosphoros-ai/db-gpt
DB-GPT is a Python-based platform for building and operating AI data assistants that connect to structured and unstructured data, generate SQL and Python code, execute analysis workflows, and produce reports, charts, dashboards, and summaries.
topoteretes/cognee
Cognee is a Python-based AI memory platform that turns ingested data into persistent, self-hosted knowledge graph memory. It combines vector embeddings, graph reasoning and ontology generation so agents can retrieve context across sessions.
alibaba/open-code-review
An open-source AI code review CLI from Alibaba that combines deterministic review pipelines with an LLM agent to produce structured, line-level feedback.
iofficeai/aionui
AionUi is described as a free, local, open-source cowork application for working with OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI, and more than 20 other CLI tools.
giskard-ai/giskard-oss
An open-source Python library for evaluating and testing LLM-based and agentic systems, including multi-turn evaluations, LLM-as-judge checks and automated vulnerability scanning.
mempalace/mempalace
A local-first, open-source AI memory system that stores conversation history and project files as verbatim text for semantic retrieval, achieving 96.6% R@5 on LongMemEval without requiring LLMs or API calls.
oomol-lab/open-connector
An open-source authentication gateway that connects over 1,000 SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI interfaces.
hkuds/lightrag
A lightweight, graph-based retrieval-augmented generation (RAG) framework that uses a dual-layer architecture combining knowledge graphs and vector embeddings to deliver efficient indexing, low-cost incremental updates, and high-quality contextual retrieval.
NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks
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