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Showing 11 open source projects for "multi"
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Raven
Self-evolving multi-agent ecosystem for all-domain collaboration
Raven is a pre-alpha multi-agent orchestration system that coordinates specialized agents through one persistent workspace. It ships with built-in agents for research, coding, visual design, and supervision of long-running jobs. Raven can also orchestrate third-party agents such as Claude Code, Codex, OpenCode, GitHub Copilot, Pi, and others. Its runtime is powered by EverOS, allowing user context, agent experience, and reusable knowledge to persist across sessions. -
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KaibanJS
JS-native framework for building and managing multi-agent systems
JavaScript-native framework for building multi-agent AI systems. Multi-agent AI systems promise to revolutionize how we build interactive and intelligent applications. However, most AI frameworks cater to Python, leaving JavaScript developers at a disadvantage. KaibanJS fills this void by providing a first-of-its-kind, JavaScript-native framework designed specifically for building and integrating AI Agents. -
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Langroid
Harness LLMs with Multi-Agent Programming
Given the remarkable abilities of recent Large Language Models (LLMs), there is an unprecedented opportunity to build intelligent applications powered by this transformative technology. The top question for any enterprise is: how best to harness the power of LLMs for complex applications? For technical and practical reasons, building LLM-powered applications is not as simple as throwing a task at an LLM system and expecting it to do it. Effectively leveraging LLMs at scale requires a... -
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Pi Agent
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI
Pi is an open-source AI agent toolkit and coding agent framework designed to help developers build, run, and extend intelligent AI-powered workflows. Developed by Earendil Works, the project includes a coding agent CLI, unified multi-provider LLM API, agent runtime, terminal UI library, and web UI components. Pi supports multiple AI providers such as OpenAI, Anthropic, and Google through a single consistent API layer, making it easier to integrate different models into applications and agents. The framework is built around extensibility, allowing developers to create custom tools, workflows, and autonomous coding experiences. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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5
oh-my-agent
Portable multi-agent harness for .agents-based skills, workflows
...Its architecture supports experimentation, making it suitable for both prototyping and iterative development. Overall, oh-my-agent provides a practical foundation for building and managing multi-agent systems. -
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OpenClaw
Your own personal AI assistant. Any OS. Any Platform.
OpenClaw (formerly Clawdbot/Moltbot) is an open-source, self-hosted autonomous AI assistant designed to run on user-controlled hardware and bridge conversational natural language with real-world task execution, effectively acting as a proactive digital assistant rather than a reactive chatbot. It lets you send instructions through familiar messaging platforms like WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more, and then interprets those instructions to carry out actions such... -
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AlphaClaw
OpenClaw harness and fleet manager.
...Designed for reliability, AlphaClaw includes a self-healing watchdog system that detects crashes, performs repairs, and automatically restarts the agent environment. It integrates with multiple platforms such as Slack, Discord, Telegram, and Google Workspace, enabling seamless multi-agent orchestration. The system also includes Git-backed version control and prompt hardening to ensure agents remain consistent, auditable, and well-behaved over time. AlphaClaw is ideal for developers and teams who want production-ready AI agents without the complexity of manual infrastructure management. -
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Deep Agents
The batteries-included agent harness
Deep Agents is an open-source, batteries-included agent harness designed for long-running, multi-step AI work. It provides an opinionated agent setup while allowing developers to override or replace individual pieces without forking the project. The framework is model-agnostic and works with tool-calling models from hosted providers, open-weight deployments, or local runtimes. Built on LangGraph, it includes persistence, checkpointing, streaming, and production-oriented orchestration. ... -
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Apodex FrontierAgent
FrontierAgent, our agent framework, open-sourced alongside it
FrontierAgent is an open-source agent runtime, terminal application, and evaluation suite for long-horizon research and file-based work. Its ReAct workflow provides a stateful agent that can research, read files, execute commands, and create deliverables inside a task-scoped sandbox. Agent Team mode adds a coordinator that divides work among parallel sub-agents and synthesizes their results. A live task board tracks pending, active, completed, blocked, and canceled work. Users can provide... -
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Calabrass
Calabrass Open-source desktop personal AI agent for local workflows
... 📂 Local Workspace Access: Let your agent inspect, read, and manage files directly inside your local folders. 🔌 MCP Integration: Connect external tools, custom functions, and automated workflows using MCP. 🤖 Multi-Model Support: Modern UI designed to interact with flexible AI models for coding and research. ⚡ Easy Setup: Lightweight 64-bit Windows installer with no admin rights needed. 📄 License: MIT 🌐 Official Site: https://calabrass.vercel.app/ 💻 GitHub: https://github.com/CodewithMubasher/Calabrass -
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Egregor
Egregor — Local-first desktop Multi-AI Consilium
Egregor — это локальное десктопное приложение, которое объединяет несколько моделей ИИ (Claude, GPT, Gemini, DeepSeek и 300+ через OpenRouter) в структурированный «консилиум», где они обсуждают и сверяют ответы друг друга. Включает защиту от группового мышления, карту доверия и конвейер аудита смарт-контрактов. Все данные проекта остаются на собственном компьютере пользователя
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