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Nuevos proyectos de AI en GitHub

Descubre nuevos proyectos de AI de código abierto en GitHub, con información del repositorio, notas de configuración, licencias y recursos relacionados.

Datos del repositorio público

Índice del proyecto

27 Proyectos
Captura de pantalla de EvalScope
RAG y sistemas de conocimiento

EvalScope

modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

★ 3,2K⑂ 440Python
Apache-2.0Q98
Captura de pantalla de Neo.mjs
MCP y llamadas a herramientas

Neo.mjs

neomjs/neo

A self-evolving software organism that combines a multi-threaded frontend application engine with an end-to-end AI engineering team operating via cross-model swarm coordination, persistent memory, and runtime application embodiment.

★ 3,3K⑂ 231JavaScript
MITQ98
Captura de pantalla de ReMe: Memory Management Kit for Agents
Agentes y multiagente

ReMe: Memory Management Kit for Agents

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.

★ 3,3K⑂ 283Python
Apache-2.0Q98
Captura de pantalla de Potpie
Agentes y multiagente

Potpie

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.

★ 5,5K⑂ 642Python
Apache-2.0Q98
Captura de pantalla de Genkit: Open-Source Framework for Agentic AI Applications
Agentes y multiagente

Genkit: Open-Source Framework for Agentic AI Applications

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.

★ 6,3K⑂ 816TypeScript
Apache-2.0Q98
Captura de pantalla de LanceDB
RAG y sistemas de conocimiento

LanceDB

lancedb/lancedb

An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.

★ 11,1K⑂ 994Rust
Apache-2.0Q98
Captura de pantalla de BISHENG
Agentes y multiagente

BISHENG

dataelement/bisheng

BISHENG is an open-source LLM application DevOps platform designed for next-generation enterprise AI applications, offering comprehensive features like GenAI workflow orchestration, RAG, Agent management, and enterprise-grade system controls.

★ 11,8K⑂ 1,9KPython
Apache-2.0Q98
Captura de pantalla de LangChain4j
MCP y llamadas a herramientas

LangChain4j

langchain4j/langchain4j

An idiomatic, open-source Java library for building LLM-powered applications on the JVM, offering a unified API over popular LLM providers and vector stores with support for tool calling, MCP, agents, and RAG.

★ 12,8K⑂ 2,4KJava
Apache-2.0Q98
Captura de pantalla de promptfoo
Agentes y multiagente

promptfoo

promptfoo/promptfoo

An open-source CLI and library for evaluating, testing, and red-teaming LLM applications, RAGs, and agents. It enables side-by-side model comparison and vulnerability scanning with declarative configs and CI/CD integration.

★ 23,9K⑂ 2,2KTypeScript
MITQ98
Captura de pantalla de OpenViking: Self-evolving Context Database for AI Agents
Agentes y multiagente

OpenViking: Self-evolving Context Database for AI Agents

volcengine/openviking

OpenViking is an open-source context database that unifies agent memory, knowledge RAG, and skills into a single virtual filesystem, enabling AI agents to browse and retrieve context deterministically using a file-system-like protocol.

★ 28K⑂ 2,2KPython
AGPL-3.0Q98
Captura de pantalla de Graphiti: Build Temporal Context Graphs for AI Agents
Agentes y multiagente

Graphiti: Build Temporal Context Graphs for AI Agents

getzep/graphiti

Graphiti is an open-source Python framework by Zep for building and querying temporal context graphs. It autonomously transforms structured and unstructured data into a dynamic knowledge graph that tracks fact validity over time, preserving provenance and enabling hybrid retrieval for AI agents.

★ 29,5K⑂ 3KPython
Apache-2.0Q98
Captura de pantalla de LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG y sistemas de conocimiento

LightRAG: Simple and Fast Retrieval-Augmented Generation

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.

★ 38,4K⑂ 5,4KPython
MITQ98

Página 1 / 3 · 27 proyectos

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