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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
open-source agentic AI data assistant for the next generation of AI + Data products.
Multi-Agent Harness for Production AI
Private AI agents for highly regulated teams, and for anyone who wants AI on their own computer. Open-source Python agent framework that runs fully offline.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
⚙️🦀 Build modular and scalable LLM Applications in Rust
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.
Build distributed, production-grade, long-running agents.
Build and deploy AI Agents on Cloudflare
Superduper: End-to-end framework for building custom AI applications and agents.
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
Platform for building and running AI agents across the full lifecycle — build, test, deploy, monitor, improve. Hosts your agents, runs their tools, and coordinates them over an event mesh, with sessions, artifacts, auth, evaluators, and observability built in.
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
Build production-ready AI agents in both Python and Typescript.
Modular AI HAL (Hardware Abstraction Layer) for Robots
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
a13n - Build, run, and manage AI agents at scale on your own infrastructure. Open source, with a built-in harness, durable execution, multi-provider support, and a management console. Built With Love 💜 @converge-ai-labs
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
Self-hosted, multi-tenant agent harness for SRE incident diagnosis — risk-gated tool approvals, durable resumable runs, audit trail, model gateway, MCP tools, and a native desktop chat client. Written in Go.
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.