Results for "multi-agent"

Production-ready multi-agent framework in Python and TypeScript. Features workflow orchestration, ACP/MCP protocol support, and deep watsonx integration. Part of Linux Foundation AI & Data program.

Multi-agent reinforcement learning library with JAX-accelerated environments and baselines.

Flexible multi-agent conversation framework.

First and best multi-agent framework for building scalable agent systems. Apache 2.0 licensed with extensive tooling for agent communication and task automation.

Multi-agent software development framework where AI agents collaborate as programmers, designers, and testers to build software. Apache 2.0 licensed.

Multi-agent system for lifelong personalized tutoring with interactive and adaptive learning workflows.

MIT-licensed TypeScript-native orchestration framework that plans multi-agent task DAGs at runtime, with approval gates, tracing, evaluation, checkpoints, and resumable execution in your own environment.

24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers.

Production-ready lightweight framework for multi-agent workflows. The evolution of Swarm with enhanced orchestration capabilities and enterprise-grade features.

Reliable multi-agent orchestration framework built on top of the OpenAI Assistants API with organizational structure modeling.

Alibaba's production-ready multi-agent framework with 23K+ stars. Features built-in MCP and A2A support, message hub for flexible orchestration, and AgentScope Runtime for production deployment.

Multi-agent harness whose host agent plans complex tasks as DAGs and delegates them to built-in research, coding, design, and on-call agents or to third-party agents over ACP, CLI, or OpenAI-compatible APIs, with cross-session memory and an experimental self-evolution loop that installs only verified changes. Apache 2.0 licensed.

Platform to build, run and govern multi-agent systems on ADK, with RAG, Text-to-SQL, MCP tools, token quotas and per-session audit. Apache 2.0 licensed, self-hosted with Docker Compose or Helm.

Multi-agent swarm intelligence engine that constructs parallel digital environments with autonomous agents to simulate and predict real-world outcomes. AGPL-3.0 licensed.

Advanced multi-agent collaboration system.

Harness LLMs with multi-agent programming. Mature tool calling system based on Pydantic, supports hundreds of LLM providers including OpenAI and local servers. Built for robust agent behavior in real-world use cases. MIT licensed.

Local-first desktop multi-agent harness with persistent workspaces, capability-scoped tools, agent memory, budgets, schedules, and live runtime visualization. MIT licensed.

MIT-licensed desktop multi-agent workspace and harness for coordinating local coding agents across multiple LLM backends.

Multi-agent orchestration and meta-harness for coordinating agent swarms with shared memory, licensed under the MIT license.

Production SDK and harness runtime for building, monitoring, and controlling end-to-end AI agent lifecycles in Python and TypeScript. Apache 2.0 licensed.

Open-source personal trading agent and research autopilot platform featuring multi-agent swarms, quantitative backtesting, and broker connectors. MIT licensed.

Deployable starter kit for building virtual towns where AI characters live, chat and socialize. Inspired by Stanford's Generative Agents research with persistent agent memory and social interactions. MIT licensed.

Self-hosted multi-tenant agent harness combining retrieval, knowledge graph grounding, and workflow orchestration for production teams.

A collection of run-ready artificial intelligence templates and agent customizer scripts, featuring over 100 retrieval-augmented generation (RAG) and intelligent agent blueprints. Apache 2.0 licensed.