Agentes e multiagente
embabel/embabel-agent
Embabel is an open-source JVM framework for building strongly typed agentic applications that combine LLM interactions, regular code, tools, and domain models. It supports dynamic planning and can be used from Kotlin or Java.
★ 4,3K⑂ 417Kotlin
Apache-2.0Q98
Agentes e multiagente
0xlazai/alith
A simple, composable, and high-performance AI agent framework designed for Web3 and Crypto, enabling developers to build, deploy, and manage on-chain AI agents with multi-language support and LazAI Gateway integration.
★ 44⑂ 31Rust
Apache-2.0Q88
MCP e chamadas de ferramentas
mtrnix/metronix-memory
Self-hosted memory infrastructure for AI agents featuring MCP-native integration, hybrid RAG, a temporal knowledge graph, and an ontology layer, designed for local-model friendliness and durable, agent-scoped context.
★ 39⑂ 7Python
Apache-2.0Q86
Agentes e multiagente
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
★ 131⑂ 28Python
Apache-2.0Q91
RAG e sistemas de conhecimento
stackitcloud/rag-template
A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.
★ 86⑂ 10Python
Apache-2.0Q89
Agentes e multiagente
microsoft/SkillOpt
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts
★ 16,1K⑂ 1,5KPython
MITQ86
MCP e chamadas de ferramentas
alpic-ai/skybridge
Skybridge is an open-source, full-stack TypeScript and React framework for building type-safe MCP Apps, MCP servers, and ChatGPT Apps across supported UI-enabled MCP clients.
★ 2K⑂ 133TypeScript
MITQ98
MCP e chamadas de ferramentas
gethuman-sh/human
An open-source AI Software Factory that integrates tickets, docs, designs, and analytics into a secure pipeline, outputting shipped code via Claude-driven agents.
★ 62⑂ 6Go
MITQ85
MCP e chamadas de ferramentas
thinkinaixyz/deepchat
DeepChat is an open-source, local-first AI agent desktop client built in TypeScript and Electron. It integrates cloud LLMs, local models, MCP services, installable Skills, ACP agents, and remote control for messaging apps, following the Tape.systems philosophy to keep agent sessions recoverable and inspectable.
★ 6,2K⑂ 712TypeScript
Apache-2.0Q98
MCP e chamadas de ferramentas
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
RAG e sistemas de conhecimento
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
MCP e chamadas de ferramentas
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