Search Results for "multi agent simulation"
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Showing 159 open source projects for "multi agent simulation"
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Open Multi-Agent
One runTeam() call from goal to result
Open Multi-Agent is a flexible framework designed to enable the creation and coordination of multiple AI agents working together to solve complex tasks through collaboration. It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. -
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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. ... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. -
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agent heroes
Generate, animate and schedule your AI characters
agentheroes is an open-source framework focused on building, orchestrating, and deploying AI agents that can collaborate to complete complex tasks through structured workflows. The project emphasizes multi-agent systems where different agents are assigned roles, responsibilities, and tools, allowing them to interact and coordinate toward a shared objective. It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build systems that go beyond simple prompt-response interactions. ... -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
Agent Orchestrator from Composio is an open-source orchestration layer designed to manage fleets of parallel AI coding agents working on a shared codebase. It enables each agent to operate independently in isolated git worktrees, handling tasks like fixing CI failures, addressing code review comments, and creating pull requests. The platform automates the coordination of multiple agents, reducing the need for manual oversight in complex development workflows. It supports a wide range of... -
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Mercury Agent
Soul-driven AI agent with permission-hardened tools, token budgets
Mercury Agent is a framework for building autonomous AI agents capable of executing complex workflows with minimal human intervention. It focuses on orchestrating tasks across multiple tools and services, enabling agents to perform end-to-end operations. The system includes mechanisms for planning, execution, and feedback, allowing agents to refine their actions iteratively. It supports integration with external APIs and services, making it adaptable to various domains. The architecture is... -
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oh-my-agent
Portable multi-agent harness for .agents-based skills, workflows
...The system also focuses on coordination, allowing multiple agents to collaborate on complex tasks in a structured manner. 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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Page Agent
JavaScript in-page GUI agent. Control web interfaces
Page Agent is an open-source in-page AI agent framework that allows developers to control and interact with web interfaces using natural language directly within the browser. Unlike traditional browser automation tools, it operates entirely through in-page JavaScript, eliminating the need for browser extensions, headless browsers, or external automation environments. The system enables users to manipulate the DOM through text-based commands, allowing complex workflows such as form filling,... -
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Zypher Agent
A minimal yet powerful framework for creating AI agents
Zypher Agent is an open-source framework for building full-featured AI agents that can be embedded directly into applications, enabling reactive decision loops where the agent dynamically chooses its next actions. Unlike workflow-style orchestrators, it uses a reactive agent loop that interprets the task, reasons about next steps via LLMs, and integrates directly with extensible tools and external services. Zypher prioritizes native support for multiple model providers such as OpenAI and... -
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Munder Difflin
local multi-agent harness
Munder Difflin is a desktop multi-agent harness that turns terminal coding CLIs into a coordinated team of autonomous workers. Each supported CLI runs as a real terminal process with its own identity, workspace, and visual avatar. A central orchestrator called Michael routes tasks, resolves routine coordination, and escalates sensitive actions for human approval. -
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Feynman
The open source AI research agent
...The system is built around a multi-agent architecture that includes roles such as researcher, reviewer, writer, and verifier, each responsible for a specific stage of the research pipeline. It supports advanced workflows like deep research investigations, paper replication, peer review simulation, and autonomous experimentation, enabling users to go beyond simple question answering into full research automation. -
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Agent Auth Protocol
Standard and implementation for AI agent authentication
Agent Auth Protocol is a specification-oriented project within the Better Auth ecosystem that defines a structured protocol for authentication between applications and autonomous agents. It is designed to standardize how AI agents and services securely authenticate, communicate, and manage identity within modern software systems. Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor authentication, and session management. ... -
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Dexter
An autonomous agent for deep financial research
Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. ... -
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OpenRig
Multi-agent harness that runs Claude Code and Codex together
OpenRig is an open-source multi-agent harness that runs Claude Code and Codex together as one coordinated development system. Each agent occupies a persistent seat with its own identity, work queue, lessons, and terminal session. Work can be assigned between agents instead of forcing every task through one model. The system runs on the user’s own infrastructure and keeps its orchestration visible through tmux. -
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Learn Harness Engineering
Harness engineering official style beginner tutorial
...By framing agents as systems rather than isolated models, it helps developers build production-ready AI applications. The repository aligns with emerging practices in multi-agent orchestration and context management. It serves as both a learning resource and a reference for implementing advanced agent infrastructures. -
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Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
Inkeep is an open-source framework for building and deploying AI agent workflows and interactive assistants that operate autonomously across applications, enterprise environments, and customer engagement use cases. It lets developers and non-technical users create, manage, and orchestrate multi-agent systems using both a no-code visual builder and a full TypeScript SDK, giving two ways to define agent behaviors that stay in sync with each other. -
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Switch
Connect any AI agent to your team in Slack, Teams & Discord
Switch is infrastructure for building teams where humans and AI agents work together inside existing collaboration tools. It connects agents to Slack, Microsoft Teams, Discord, Telegram, and Mattermost instead of replacing those platforms. Teams can combine agents from different providers, frameworks, machines, and hosting environments. Channels can define instructions, roles, permissions, knowledge, and tracked tasks that shape how work is coordinated. Switch Console manages agents,... -
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PilotDeck
Task-oriented AI Agent productivity platform
PilotDeck is an open-source agent operating system built around the idea of a task-oriented WorkSpace. It is designed to help users manage multi-task AI agent work from a structured productivity environment. The project is jointly developed by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. Its goal is to serve as a practical productivity platform for the agent era rather than a simple chat interface. -
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OpenClaw Office
OpenClaw Office is the visual monitoring and management frontend
OpenClaw Office is a visual monitoring and management interface designed for the OpenClaw multi-agent system, providing an immersive and interactive way to observe and control autonomous AI agents. It presents agent activity through a virtual office environment, where each agent is represented as an animated entity within a 2D or 3D workspace. The platform enables real-time visualization of agent states, interactions, and workflows, making complex multi-agent coordination easier to understand and debug. ... -
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Danghuangshang
AI Court Building Complete Tutorial - From Zero Basics to Advanced
Danghuangshang is a ready-to-use multi-agent collaboration system built around OpenClaw. It uses an imperial court metaphor where the user acts as the ruler and specialized AI agents act as ministers, reviewers, operators, and coordinators. The project supports several organizational modes, including a Ming-style cabinet, a Tang-style review workflow, and a modern executive-team structure. -
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Langflow
Low-code app builder for RAG and multi-agent AI applications
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database. -
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HybridClaw
The enterprise operating layer for open agents
HybridClaw is an emerging open-source framework focused on enabling hybrid AI agent systems that combine local execution, tool integration, and multi-agent orchestration into a cohesive development environment. It is designed to work alongside modern agent ecosystems such as OpenClaw, Claude Code, and similar agentic coding tools, providing a flexible infrastructure for managing agent behaviors, workflows, and capabilities. -
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Antfarm
Build your agent team in OpenClaw with one command
Antfarm is an OpenClaw-focused agent team installer for creating coordinated AI development workflows. It gives users a predefined group of specialized agents such as planner, developer, verifier, tester, and reviewer. The project is designed to make multi-agent work more repeatable by giving each agent a clear role in the development process. It can be installed with a single command and does not require users to set up separate infrastructure. -
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Rowboat
Open-source AI coworker, with memory
Rowboat is an open-source, local-first AI automation and multi-agent development platform designed to help developers and knowledge workers create, orchestrate, and manage intelligent workflows with minimal boilerplate and maximum flexibility. It functions as both an AI-powered IDE and a CLI that lets you build multi-agent systems using natural language prompts, connect to MCP and agent tool servers, and integrate automations into everyday work tasks like summarizing emails or generating knowledge artifacts. ... -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. ...
