Results for "agents"

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

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.

Code-first Python toolkit for building sophisticated AI agents with multi-agent orchestration, built-in evaluation, and flexible deployment. Model-agnostic with tight Google ecosystem integration. Apache 2.0 licensed.

Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed.

Self-hosted CLI that runs a team of AI agents on one Linux server, each its own Linux user running Claude Code, Codex or another official agent CLI as a systemd service, sharing an org chart and a backlog. MIT licensed.

TypeScript-first framework for building agent-first applications featuring shared database state, real-time multiplayer editing, and action-driven tools. ISC licensed.

Flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations with parallel execution capabilities. Apache 2.0 licensed.

Self-improving framework that orchestrates meta, target, and feedback agents to autonomously optimize the performance of AI models and agents on benchmark tasks. MIT licensed.

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.

JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach. Visual task board for AI agents with real-time collaboration features. MIT licensed.

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.

Flexible multi-agent orchestration framework with intelligent intent classification and context management. Supports Python and TypeScript with pre-built agents for Bedrock, Lex, and custom integrations. Apache 2.0 licensed.

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

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

Fast and lightweight framework for creating decentralized agents with ease. Agents automatically join the network by registering on the Almanac smart contract. Supports agent-to-agent communication out of the box. Apache 2.0 licensed.

CLI and skills that turn coding assistants into experts at creating, evaluating, and deploying AI agents on Google Cloud. Apache 2.0 licensed.

Open agentic framework that uses computers like a human. SOTA on OSWorld benchmark (72.6%) for GUI automation and computer control.

AI Agent Networks for Open Collaboration. Platform for building collaborative multi-agent systems with shared knowledge and distributed task execution. Apache 2.0 licensed.

Powerful GUI agent family for autonomous mobile device control. Multimodal agent framework designed to operate smartphone apps through visual UI perception and reasoning. MIT licensed.

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

Official AWS-supported MCP servers, skills, and plugins to help AI coding agents build, deploy, and manage applications on AWS. Apache 2.0 licensed.

Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kimi). CLI and desktop app for macOS, Windows, and Linux. Apache 2.0 licensed.

Next-generation proxy and routing layer for AI agents and MCP servers, with Kubernetes-native transport, protocol interoperability, and service-mesh-style isolation for reliable agent infrastructure. Apache 2.0 licensed.

Build, run, and manage agentic software at scale. High-performance framework for multi-agent systems with memory, knowledge, and tools.