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Neue AI-Projekte auf GitHub

Entdecke neu hinzugefügte Open-Source-AI-Projekte auf GitHub – mit Repository-Informationen, Einrichtungshinweisen, Lizenzen und verwandten Ressourcen.

Daten des öffentlichen Repositorys

Projektindex

75 Projekte
Screenshot von BISHENG
Agenten & Multi-Agenten

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
Screenshot von LangChain4j
MCP & Tool-Aufrufe

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
Screenshot von BrowserOS: The Open-Source Agentic Browser
Agenten & Multi-Agenten

BrowserOS: The Open-Source Agentic Browser

browseros-ai/browseros

BrowserOS is a free, open-source Chromium fork with a built-in AI agent, accompanied by BrowserOS neo, a secondary browser designed specifically for AI agents. It enables local-first browser automation, supporting multiple LLM providers and MCP-compatible tools.

★ 12,9K⑂ 1,4KTypeScript
AGPL-3.0Q98
Screenshot von NVIDIA NeMo Speech
LLM & Basismodelle

NVIDIA NeMo Speech

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.

★ 17,9K⑂ 3,5KPython
Apache-2.0Q98
Screenshot von Pydantic AI
Agenten & Multi-Agenten

Pydantic AI

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.

★ 19,1K⑂ 2,5KPython
MITQ98
Screenshot von Agent Development Kit (ADK) 2.0 by Google
Agenten & Multi-Agenten

Agent Development Kit (ADK) 2.0 by Google

google/adk-python

An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

★ 21K⑂ 3,8KPython
Apache-2.0Q98
Screenshot von promptfoo
Agenten & Multi-Agenten

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
Screenshot von AgentScope 2.0
MCP & Tool-Aufrufe

AgentScope 2.0

agentscope-ai/agentscope

A production-ready, easy-to-use agent framework designed to leverage the reasoning and tool-use abilities of increasingly agentic LLMs without constraining them with strict prompts or opinionated orchestrations.

★ 28,6K⑂ 3,3KPython
Apache-2.0Q98
Screenshot von Graphiti: Build Temporal Context Graphs for AI Agents
Agenten & Multi-Agenten

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
Screenshot von Vibe-Trading: Your Personal Trading Agent
MCP & Tool-Aufrufe

Vibe-Trading: Your Personal Trading Agent

hkuds/vibe-trading

An open-source Python-based AI agent framework designed to provide comprehensive trading, backtesting, and quantitative finance capabilities via a single command.

★ 30,1K⑂ 4,8KPython
MITQ98
Screenshot von QwenPaw
MCP & Tool-Aufrufe

QwenPaw

agentscope-ai/qwenpaw

A self-hostable personal AI assistant that runs locally or in the cloud, featuring multi-channel connectivity, extensible skills, and a three-layer memory system.

★ 33,9K⑂ 3KPython
Apache-2.0Q98
Screenshot von LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG & Wissenssysteme

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

Seite 2 / 7 · 75 Projekte

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