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Nuovi progetti AI su GitHub

Scopri i nuovi progetti AI open source aggiunti su GitHub, con informazioni sul repository, note di configurazione, licenze e risorse correlate.

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84 Progetti
Screenshot di OpenViking: Self-evolving Context Database for AI Agents
Agenti e multi-agente

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
Screenshot di AgentScope 2.0
MCP e chiamate agli strumenti

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 di Sim
Agenti e multi-agente

Sim

simstudioai/sim

Sim is a central intelligence layer and workspace for building, deploying, and orchestrating AI agents and workflows, offering both a cloud-hosted platform and a self-hosted solution.

★ 29,3K⑂ 3,8KTypeScript
Apache-2.0Q98
Screenshot di Graphiti: Build Temporal Context Graphs for AI Agents
Agenti e multi-agente

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 di Vibe-Trading: Your Personal Trading Agent
MCP e chiamate agli strumenti

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 di QwenPaw
MCP e chiamate agli strumenti

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 di AstrBot: Open-Source AI Agent Assistant & Development Framework
MCP e chiamate agli strumenti

AstrBot: Open-Source AI Agent Assistant & Development Framework

astrbotdevs/astrbot

AstrBot is an open-source, all-in-one AI agent chatbot platform and development framework that integrates mainstream instant messaging platforms, large language models, plugins, and agent capabilities for building production-ready conversational AI applications.

★ 38,5K⑂ 2,7KPython
AGPL-3.0Q98
Screenshot di LlamaIndex
Agenti e multi-agente

LlamaIndex

run-llama/llama_index

LlamaIndex is an open-source Python data framework for building LLM applications with private data, offering data connectors, indexing structures, and advanced retrieval interfaces. It is complemented by LlamaParse, an enterprise platform for agentic OCR, parsing, extraction, and indexing.

★ 51,4K⑂ 7,9KPython
MITQ98
Screenshot di Mem0: Universal Memory Layer for AI Agents
Agenti e multi-agente

Mem0: Universal Memory Layer for AI Agents

mem0ai/mem0

Mem0 is an open-source memory layer for AI agents and assistants, enabling personalized, long-term memory across user sessions. It provides multi-level memory retention, hybrid retrieval, and temporal reasoning through Python and npm SDKs, a self-hosted server, or a managed cloud platform.

★ 62,5K⑂ 7,3KPython
Apache-2.0Q98
Screenshot di AnythingLLM by Mintplex-Labs
Agenti e multi-agente

AnythingLLM by Mintplex-Labs

mintplex-labs/anything-llm

An all-in-one, local-first AI application for chatting with documents, building AI agents, and running a private, multi-user ChatGPT-like experience with zero setup friction.

★ 64,5K⑂ 7,1KJavaScript
MITQ98
Screenshot di Headroom: Context Compression Layer for AI Agents
MCP e chiamate agli strumenti

Headroom: Context Compression Layer for AI Agents

headroomlabs-ai/headroom

Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.

★ 65K⑂ 4,9KPython
Apache-2.0Q98
Screenshot di OpenHands Agent Canvas
Agenti e multi-agente

OpenHands Agent Canvas

openhands/openhands

A self-hosted developer control center for running, managing, and automating coding agents across local, remote, and cloud environments.

★ 83,1K⑂ 10,7KTypeScript
MITQ98

Pagina 3 / 7 · 84 progetti

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