# Multi-Agent Orchestration Frameworks

> Search results for `multi-agent orchestration where agents collaborate on tasks` on awesome-repositories.com. 112 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/multi-agent-orchestration-where-agents-collaborate-on-tasks

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## Results

- [agentwrapper/agent-orchestrator](https://awesome-repositories.com/repository/agentwrapper-agent-orchestrator.md) (7,637 ⭐) — This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of agents that autonomously solve issues, handle pull requests, and fix CI failures. It functions as an agentic CI/CD automator and parallel workflow manager, coordinating the end-to-end development lifecycle from initial ticket tracking to final code merging.

The system is distinguished by its modular plugin framework and isolated worktree management, which allow multiple agents to work on separate coding tasks simultaneously without file system conflicts. It utilizes role-based mo
- [camel-ai/camel](https://awesome-repositories.com/repository/camel-ai-camel.md) (17,253 ⭐) — This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer.

The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva
- [mastra-ai/mastra](https://awesome-repositories.com/repository/mastra-ai-mastra.md) (21,221 ⭐) — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention.

The framework distinguishes itself through its focus on observability and secure, isolated execut
- [letta-ai/letta](https://awesome-repositories.com/repository/letta-ai-letta.md) (21,168 ⭐) — Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions.

The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com
- [agentscope-ai/agentscope](https://awesome-repositories.com/repository/agentscope-ai-agentscope.md) (26,895 ⭐) — Agentscope is a comprehensive toolkit for developing and orchestrating autonomous multi-agent systems. It provides a unified framework for building agents that can reason, execute tools, and manage memory, enabling the creation of complex, collaborative workflows where multiple specialized agents interact to solve multi-step objectives.

The platform distinguishes itself through a robust orchestration engine that supports both sequential and concurrent agent pipelines. It utilizes a centralized event bus for real-time telemetry, allowing developers to track agent reasoning, tool usage, and sys
- [livekit/livekit](https://awesome-repositories.com/repository/livekit-livekit.md) (19,358 ⭐) — LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections.

The platform distinguishes itself through it
- [camel-ai/owl](https://awesome-repositories.com/repository/camel-ai-owl.md) (19,864 ⭐) — Owl is a framework for agentic workflow automation and multi-agent orchestration. It functions as a system for coordinating autonomous large language model agents to decompose and execute complex tasks through shared communication and collaborative planning.

The project distinguishes itself through a multi-modal toolset for processing images, audio, and video, alongside a synthetic data generator that produces domain-specific datasets using self-instruct and verifier loops. It further incorporates a retrieval-augmented generation pipeline framework that integrates long-term memory and real-ti
- [joaomdmoura/crewai](https://awesome-repositories.com/repository/joaomdmoura-crewai.md) (53,752 ⭐) — CrewAI is a multi-agent orchestration framework and autonomous agent workflow engine. It provides a system for coordinating autonomous AI agents with specific roles and goals to solve complex tasks through collaborative intelligence.

The framework distinguishes itself through a collaborative AI agent system that enables multiple language model instances to share intelligence and execute multi-step objectives via role-playing. It incorporates human-in-the-loop mechanisms, allowing for manual review checkpoints to validate decisions and refine outcomes within autonomous execution paths.

The pl
- [open-multi-agent/open-multi-agent](https://awesome-repositories.com/repository/open-multi-agent-open-multi-agent.md) (6,422 ⭐) — Open Multi-Agent is a TypeScript framework for multi-agent orchestration that decomposes natural language goals into a runtime-generated directed acyclic graph of tasks. It functions as a task orchestrator and workflow state manager, coordinating multiple AI models to execute parallel and sequential operations.

The framework is distinguished by a proposer-judge consensus protocol used to validate agent outputs through a quorum of agreement. It employs provider-agnostic model routing to assign specific models to tasks based on roles or execution phases and utilizes state-based workflow checkpo
- [flowiseai/flowise](https://awesome-repositories.com/repository/flowiseai-flowise.md) (53,641 ⭐) — Flowise is a low-code platform designed for building and deploying complex language model workflows through a visual, node-based interface. It functions as an orchestrator for autonomous multi-agent systems, allowing users to construct conversational pipelines by connecting language models, memory stores, and external tools on a drag-and-drop canvas.

The platform distinguishes itself through its support for sophisticated agentic patterns, including supervisor-worker delegation and iterative reasoning strategies. Users can design directed acyclic graphs to manage conditional branching, state p
- [hmbown/codewhale](https://awesome-repositories.com/repository/hmbown-codewhale.md) (38,468 ⭐) — CodeWhale is an AI coding agent orchestrator and development harness designed to coordinate autonomous agents that read, edit, and verify code. It provides a secure environment for AI agents to perform multi-step software engineering tasks, utilizing a sandboxed execution model to isolate shell commands and protect the host system.

The system distinguishes itself by spawning multiple independent agents in parallel to handle separate investigation or implementation slices simultaneously. It employs a multi-model gateway to route requests across various cloud APIs and local servers, and utilize
- [agiresearch/aios](https://awesome-repositories.com/repository/agiresearch-aios.md) (5,168 ⭐) — AIOS is an LLM agent operating system and orchestration kernel designed to manage memory, resource scheduling, and tool execution for multiple autonomous AI agents. It serves as a comprehensive framework for developing and deploying agents, featuring a dedicated resource manager that coordinates model backends, GPU memory, and isolated kernel instances.

The system distinguishes itself through a semantic memory engine that uses vector search and autonomous clustering for long-term knowledge management, and a semantic file system that allows users to control computer files and system operations
- [lsdefine/genericagent](https://awesome-repositories.com/repository/lsdefine-genericagent.md) (13,017 ⭐) — GenericAgent is an LLM agent framework and autonomous system controller designed to manage local systems, web browsers, and hardware interfaces through action and observation loops. It functions as a tool orchestrator that routes model calls to local executors, enabling the automation of complex tasks on a host machine.

The project is distinguished by its self-evolving AI agent capabilities, which convert successful execution paths into reusable procedural scripts and skill trees to reduce future reasoning overhead. It employs a context optimization engine that utilizes layered memory hierarc
- [azure-samples/healthcare-agent-orchestrator](https://awesome-repositories.com/repository/azure-samples-healthcare-agent-orchestrator.md) (198 ⭐) — Healthcare Agent Orchestrator is a multi-agent accelerator that coordinates modular specialized agents across diverse data types and tools like M365 and Teams to assist multi-disciplinary healthcare workflows—such as cancer care.
- [cube-js/cube](https://awesome-repositories.com/repository/cube-js-cube.md) (20,251 ⭐) — Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools.

The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
- [kilo-org/kilocode](https://awesome-repositories.com/repository/kilo-org-kilocode.md) (15,616 ⭐) — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments.

The platform distinguishes itself through its federated task management and policy-based access control, which
- [souvikmajumder26/multi-agent-medical-assistant](https://awesome-repositories.com/repository/souvikmajumder26-multi-agent-medical-assistant.md) (909 ⭐) — ⚕️ Multi-Agent-Medical-Assistant : AI-powered multi-agentic system for medical diagnosis and assistance
- [vercel/geist-font](https://awesome-repositories.com/repository/vercel-geist-font.md) (3,249 ⭐) — Geist is an open-source font family and typography collection designed for high legibility in technical interfaces. It consists of a series of web-optimized typefaces, including geometric sans-serif, monospaced, and pixel styles.

The collection functions as a variable font library, utilizing coordinate interpolation to allow precise control over weight and style within a single font file. These fonts are built as OpenType typefaces, incorporating standardized layout tables to define advanced typographic behaviors such as kerning and ligatures.

The project provides specific implementations fo
- [mat-agent/mat-agent](https://awesome-repositories.com/repository/mat-agent-mat-agent.md) (93 ⭐) — 🚀 VLM-Powered Agent for Intelligent Tool Orchestration | 🔧 Open-source Framework for Multi-modal AI
- [copilotkit/open-multi-agent-canvas](https://awesome-repositories.com/repository/copilotkit-open-multi-agent-canvas.md) (505 ⭐) — Open Multi-Agent Canvas, created by CopilotKit is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It's built with Next.js, LangGraph, and CopilotKit to help with travel planning, research, and general-purpose tasks through MCP servers.
- [kestra-io/kestra](https://awesome-repositories.com/repository/kestra-io-kestra.md) (27,073 ⭐) — Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes.

The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external
- [github/awesome-copilot](https://awesome-repositories.com/repository/github-awesome-copilot.md) (35,119 ⭐) — Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to orchestrate multi-agent teams and automate complex coding workflows. It functions as a centralized platform for managing AI-driven development, enabling developers to deploy specialized agents that interact with local files, terminal commands, and external APIs to execute end-to-end software delivery tasks.

The project distinguishes itself through its focus on governance and extensibility, offering a suite of security controls, policy-based execution guardrails, and audit trails t
- [aliasrobotics/cai](https://awesome-repositories.com/repository/aliasrobotics-cai.md) (7,170 ⭐) — CAI is a framework for building autonomous security agents and an orchestration system for coordinating multiple specialized agents. It functions as an agentic workflow engine and an autonomous cyber-defense tool that maps language model reasoning to security kill chain functions for threat detection and mitigation.

The system distinguishes itself through multi-agent coordination patterns, such as swarms and hierarchies, and the use of stateful conversation handoffs. It implements multi-layer input and output guardrails to block prompt injections and validate commands before they reach the sy
- [sport-agents/sport-agents](https://awesome-repositories.com/repository/sport-agents-sport-agents.md) (21 ⭐) — SPORT introduces an online self-exploration loop that enables multimodal agents to self-improve via AI-generated tasks and LLM-verified preference tuning without human annotations.
- [vudovn/antigravity-kit](https://awesome-repositories.com/repository/vudovn-antigravity-kit.md) (4,979 ⭐) — Antigravity-kit is a multi-agent orchestrator and routing engine designed to coordinate specialized large language model agents. It functions as a conversational workflow automation tool and a context management system that executes complex tasks through a chat interface.

The system utilizes a routing engine to classify user requests and dispatch them to domain-expert agents. It employs a multi-agent orchestration model that allows specialist workers to operate in parallel and combine their outputs.

To manage operational efficiency, the kit includes a memory layer for storing project convent
- [xinhenglyu/wsi-agents](https://awesome-repositories.com/repository/xinhenglyu-wsi-agents.md) (49 ⭐) — WSI-Agents is a novel collaborative multi-agent system for whole slide image analysis that bridges the gap between accuracy and versatility in digital pathology through specialized agents and robust verification mechanisms.
- [infiniflow/ragflow](https://awesome-repositories.com/repository/infiniflow-ragflow.md) (82,922 ⭐) — This project is a comprehensive retrieval-augmented generation platform designed for building, managing, and deploying knowledge-based AI applications. It provides a unified environment for organizing datasets, configuring conversational chat assistants, and developing autonomous agents that execute multi-step reasoning workflows. By integrating document intelligence with advanced retrieval pipelines, the platform enables the creation of grounded, verifiable responses supported by traceable citations.

The platform distinguishes itself through deep document understanding and sophisticated know
- [cloudflare/agents](https://awesome-repositories.com/repository/cloudflare-agents.md) (3,466 ⭐) — This is an open-source framework for building stateful, durable AI agents that run on Cloudflare Workers. It provides a runtime for long-lived agents that maintain a persistent identity, local SQL storage, and real-time connections, utilizing a lifecycle where agents hibernate when idle and wake on demand.

The project distinguishes itself through its multi-channel orchestration, allowing a single agent to be deployed across voice, email, and chat interfaces with unified state. It implements the Model Context Protocol for standardized tool and data exchange and includes a dedicated framework f
- [huggingface/smolagents](https://awesome-repositories.com/repository/huggingface-smolagents.md) (27,885 ⭐) — This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles.

The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch
- [automazeio/ccpm](https://awesome-repositories.com/repository/automazeio-ccpm.md) (7,387 ⭐) — This project is an AI agent orchestrator and local project planner designed to manage the lifecycle of software development from requirements to code. It functions as a requirement traceability tool that links product requirements and technical epics to specific tasks and commits, maintaining a complete development audit trail.

The system features a GitHub issue sync manager that provides bidirectional synchronization between local project plans and remote issues. It utilizes a local-first specification engine, allowing for the brainstorming of requirements and the decomposition of technical
- [crewaiinc/crewai](https://awesome-repositories.com/repository/crewaiinc-crewai.md) (53,687 ⭐) — CrewAI is a multi-agent orchestration framework designed for building autonomous systems that execute complex, multi-step workflows. It provides a development platform where specialized agents are defined with specific roles, goals, and tool sets to perform tasks collaboratively. By leveraging a declarative workflow engine, the system manages task dependencies, state transitions, and execution logic, allowing for the creation of structured, stateful sequences of operations.

The framework distinguishes itself through its hierarchical management capabilities, which utilize manager agents to coo
- [hmbown/deepseek-tui](https://awesome-repositories.com/repository/hmbown-deepseek-tui.md) (38,538 ⭐) — DeepSeek-TUI is an AI coding agent orchestrator and framework designed to automate complex programming tasks. It functions as a harness for coordinating AI models that can read source code, edit files, and execute shell commands through automated agent workflows.

The system is distinguished by its multi-agent coordination capabilities, which allow for the spawning of parallel sub-agents to handle concurrent investigations or implementation slices. It employs autonomous goal-seeking loops to pursue objectives across multiple turns and utilizes a tool integration gateway to connect models to ex
- [liuboacean/agent-comm-hub](https://awesome-repositories.com/repository/liuboacean-agent-comm-hub.md) (2 ⭐) — Multi-agent real-time communication & task scheduling infrastructure based on MCP + SSE
- [agentsmd/agents.md](https://awesome-repositories.com/repository/agentsmd-agents-md.md) (22,264 ⭐) — Agents.md is a configuration framework designed to standardize how AI coding assistants interact with a repository. It provides a structured format for defining project context, behavioral guidelines, and operational instructions, ensuring that AI tools maintain consistency and adhere to project-specific standards throughout the development process.

The system distinguishes itself through a hierarchical configuration approach, allowing developers to define settings that inherit and override instructions across different subdirectories. By utilizing markdown-based files, it enables the injecti
- [rinadelph/agent-mcp](https://awesome-repositories.com/repository/rinadelph-agent-mcp.md) (1,245 ⭐) — Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.
- [dair-ai/prompt-engineering-guide](https://awesome-repositories.com/repository/dair-ai-prompt-engineering-guide.md) (75,678 ⭐) — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability.

The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat
- [jenssegers/agent](https://awesome-repositories.com/repository/jenssegers-agent.md) (4,813 ⭐) — 👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect
- [can1357/oh-my-pi](https://awesome-repositories.com/repository/can1357-oh-my-pi.md) (12,763 ⭐) — oh-my-pi is an agentic workflow automation platform and AI coding agent orchestrator designed for autonomous software engineering. It functions as a multi-model LLM router and an LSP-integrated development environment, coordinating specialized AI agents to perform codebase analysis, automated refactoring, and complex task execution.

The system distinguishes itself through the use of subagent coordination to execute parallel tasks within isolated environments and an auto-research framework for iterative experiments. It employs AST-driven structural search for code discovery and content-hash an
- [anomalyco/opencode](https://awesome-repositories.com/repository/anomalyco-opencode.md) (175,152 ⭐) — OpenCode is a framework for orchestrating autonomous AI agents within development environments. It provides a multi-tiered architecture where primary assistants manage user interaction while specialized subagents handle specific tasks like planning, research, and code generation. The system includes a comprehensive command-line interface for managing these workflows, configuring agent behavior, and defining custom tools or commands through metadata-rich files.

The platform features a modular plugin system and extensive integration support, including standardized protocols for connecting local
- [swe-agent/swe-agent](https://awesome-repositories.com/repository/swe-agent-swe-agent.md) (18,510 ⭐) — SWE-agent is an autonomous software engineering platform designed to automate repository maintenance and issue resolution. By orchestrating language models to navigate codebases, diagnose software bugs, and apply fixes, the framework functions as an autonomous agent capable of executing shell commands, editing source code, and managing pull requests within isolated, containerized environments.

The platform distinguishes itself through its focus on end-to-end task autonomy and observability. It features a robust trajectory logging system that records every thought, action, and environment obse
- [iofficeai/aionui](https://awesome-repositories.com/repository/iofficeai-aionui.md) (16,621 ⭐) — AionUi is an AI agent orchestration platform designed to manage and coordinate multiple autonomous assistants within a local environment. It functions as a framework for executing background processes and scheduled tasks that operate independently of the user interface, ensuring that automated workflows continue to run without manual oversight.

The platform distinguishes itself through a local-first approach to document generation and file manipulation, allowing users to create and modify office files directly on their hardware to maintain data privacy. It supports parallel agent execution, e
- [emqx/emqx](https://awesome-repositories.com/repository/emqx-emqx.md) (16,422 ⭐) — This project is a high-performance MQTT broker and IoT data platform designed to manage millions of concurrent device connections. It provides a scalable infrastructure for ingesting, processing, and routing telemetry data across distributed systems, utilizing an actor-based concurrency model to maintain high availability and state synchronization across cluster nodes.

The platform distinguishes itself through integrated stream processing and edge computing capabilities. It allows users to execute declarative SQL-based rules directly against incoming message streams for real-time filtering, t
- [ed-donner/agents](https://awesome-repositories.com/repository/ed-donner-agents.md) (4,017 ⭐) — This project is an LLM autonomous agent framework and orchestration tool designed to build goal-driven agents that automate complex workflows. It functions as a system for converting high-level objectives into a series of autonomous actions and managing the coordination of multiple specialized agents to solve multi-step problems.

The framework features a tool integration layer that parses structured model outputs into executable functions and external API calls. It utilizes a non-blocking execution pipeline to manage task orchestration through recursive loops and asynchronous event handling.
- [addyosmani/agent-skills](https://awesome-repositories.com/repository/addyosmani-agent-skills.md) (60,849 ⭐) — Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists.

The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated
- [cloudwego/eino](https://awesome-repositories.com/repository/cloudwego-eino.md) (9,675 ⭐) — Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers.

The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che
- [2fastlabs/agent-squad](https://awesome-repositories.com/repository/2fastlabs-agent-squad.md) (7,667 ⭐) — Agent Squad Flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations.
- [coleam00/ottomator-agents](https://awesome-repositories.com/repository/coleam00-ottomator-agents.md) (5,359 ⭐) — Ottomator-agents is a framework for building and deploying autonomous AI agents using structured workflow files and source code. It serves as a declarative deployment tool and workflow orchestrator that translates static configuration files into executable sequences of AI agent tasks and logic flows.

The system utilizes manifest-driven instantiation and template-driven deployment to create functional agent identities by populating source code templates with user-specified parameters. It incorporates a modular skill system that equips agents with discrete, reusable source code units and toolse
- [openhands/openhands](https://awesome-repositories.com/repository/openhands-openhands.md) (77,330 ⭐) — OpenHands is an autonomous agent framework designed for software engineering workflows. It provides a modular platform for orchestrating AI agents that reason, plan, and execute tasks within isolated, containerized development environments. By integrating with standard version control and development tools, the system enables agents to autonomously navigate codebases, implement features, and resolve issues through iterative reasoning and tool execution.

The platform distinguishes itself through a model-agnostic orchestrator that connects diverse language models to a unified tool registry. It
- [agno-agi/agno](https://awesome-repositories.com/repository/agno-agi-agno.md) (40,717 ⭐) — Agno is an agent operating system designed to manage the lifecycle, tool execution, and persistent state of autonomous agents across distributed infrastructure. It provides a unified runtime environment that wraps diverse agent frameworks into a consistent, interoperable protocol, allowing developers to build and deploy complex multi-agent systems that coordinate tasks and delegate sub-processes.

The platform distinguishes itself through a robust governance and orchestration layer that includes human-in-the-loop approval gates, role-based access control, and a centralized API gateway. It feat
- [superset-sh/superset](https://awesome-repositories.com/repository/superset-sh-superset.md) (11,877 ⭐) — Superset is an agentic development environment designed to orchestrate autonomous AI coding agents. It functions as a workspace where multiple command-line based agents can run in parallel, utilizing a persistent terminal multiplexer to maintain long-lived shell sessions and state.

The project distinguishes itself through the use of Git worktrees to provide physical directory isolation for each task, preventing merge conflicts during concurrent agent operations. It incorporates a Model Context Protocol client to extend agent capabilities via external tools and data, while keeping execution en