ToolAI.io · Canal de GitHub

Proyectos de IA en tendencia en 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

Índice del proyecto

295 Proyectos
Inferencia, implementación y tiempo de ejecución

xLLM: High-Performance Inference Engine for Diverse AI Accelerators

xllm-ai/xllm

xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.

★ 1,5K⑂ 279C++
Apache-2.0Q98
Agentes y multiagente

Future AGI

future-agi/future-agi

An open-source, self-hostable platform for evaluating, tracing, simulating, protecting, routing, and optimizing LLM and AI-agent applications.

★ 1,7K⑂ 498Python
Apache-2.0Q98
Captura de pantalla de comfyui-mcp
MCP y llamadas a herramientas

comfyui-mcp

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.

★ 599⑂ 93TypeScript
MITQ92
Captura de pantalla de NeuroLink
MCP y llamadas a herramientas

NeuroLink

juspay/neurolink

A TypeScript integration platform providing a unified API for 30+ AI providers and 100+ models, enabling provider swapping, multi-modal voice processing, RAG, memory, and MCP-native tool integration.

★ 121⑂ 124TypeScript
MITQ93
Inferencia, implementación y tiempo de ejecución

vLLM Ascend

vllm-project/vllm-ascend

A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.

★ 2,7K⑂ 2,1KC++
Apache-2.0Q98
Captura de pantalla de AI Brain Starter
MCP y llamadas a herramientas

AI Brain Starter

mycelium-hq/ai-brain-starter

An operating system and verification harness for Claude Code that provides persistent memory, accountability, journaling, and knowledge graph capabilities, ensuring context compounds across sessions rather than corrupting.

★ 33⑂ 25Python
MITQ86
Agentes y multiagente

LangWatch

langwatch/langwatch

An open-core platform for evaluating, testing, tracing, and monitoring LLM applications and AI agents before release and in production.

★ 3,5K⑂ 345TypeScript
Apache-2.0Q98
Agentes y multiagente

dstack

dstackai/dstack

A vendor-agnostic control plane for provisioning and orchestrating training, inference, development, and agentic workloads across GPU clouds, Kubernetes, and on-premises infrastructure.

★ 2,2K⑂ 249Python
MPL-2.0Q98
Captura de pantalla de memra
Inferencia, implementación y tiempo de ejecución

memra

avifenesh/memra

A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.

★ 314⑂ 35Rust
MITQ92
LLM y modelos fundacionales

Bionic GPT

bionic-gpt/bionic-gpt

Bionic is a Rust-based, on-premise alternative to ChatGPT designed for private generative AI deployments. It provides a familiar chat interface, local or remote model access, team controls, retrieval-augmented assistants, data integrations, observability, and Kubernetes-oriented scaling.

★ 2,4K⑂ 239Rust
NOASSERTIONQ98
Inferencia, implementación y tiempo de ejecución

any-llm: A Unified Python Interface for LLM Providers

mozilla-ai/any-llm

any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.

★ 2,2K⑂ 211Python
Apache-2.0Q98
Programación con AI y herramientas para desarrolladores

ai-development-patterns

paulduvall/ai-development-patterns

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

★ 638⑂ 53Python
MITQ82

Página 10 / 25 · 295 proyectos

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