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getpaseo avatar

getpaseo/paseo

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Paseo

Paseo is an LLM coding agent orchestrator and multi-agent workflow manager designed to coordinate multiple AI agents across isolated git worktrees. It provides a unified control interface for managing these agents and their associated environments to execute complex programming tasks.

The system distinguishes itself through a remote agent daemon that enables secure access to local coding agents via encrypted relays. It employs a git worktree environment manager to isolate parallel tasks into dedicated directories and branch-based server URLs, preventing file collisions and network port conflicts between concurrent agents.

The platform covers wide-ranging capabilities including multi-agent orchestration via specialized agent committees, iterative worker-verifier execution loops, and comprehensive git workflow management. It includes tools for visual code review, GitHub API integration, and a command line interface for streaming real-time output and managing agent sessions.

The architecture utilizes a headless daemon and a standardized JSON-RPC protocol to communicate with agent binaries over stdio.

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Features

  • Coding Agent Orchestrators - Coordinates multiple AI coding agents using isolated worktrees and terminal session management.
  • Multi-Provider Orchestrators - Orchestrates AI coding agents from different providers concurrently within the same workspace while maintaining native configurations.
  • Git Workspace Isolations - Uses git worktrees to create isolated directories and branches for parallel agent tasks to prevent file collisions.
  • Agentic Workflow Orchestration - Decomposes complex tasks into parallel work streams by spawning sub-agents and synthesizing their results.
  • Agent Client Protocols - Uses a standardized JSON-RPC protocol over stdio to communicate with agent binaries and manage their execution.
  • Worktree Isolation - Isolates parallel agent tasks using dedicated git worktrees to prevent file collisions and state interference.
  • AI Provider Integrations - Provides a connection system for linking various large language model providers using API keys or self-hosted endpoints.
  • Agentic Workflow Automation - Decomposes complex tasks into parallel streams and iterative loops using hierarchical agent structures.
  • Provider Mappings - Maps coding agents to specific API endpoints or self-hosted environments via extensible provider definitions.
  • Hierarchical Agent Orchestration - Implements a structural hierarchy where manager agents decompose tasks into parallel streams for worker agents.
  • Multi-Agent Task Orchestrators - Manages complex, multi-step workflows by decomposing programming tasks into parallel streams and iterative loops.
  • Remote Agent Daemons - Runs a background service that enables secure remote access to local coding agents via encrypted relays.
  • Remote Agent Management - Controls AI agents running on remote servers or background daemons via encrypted relays.
  • AI Agent Session Managers - Manages the full lifecycle of AI coding agent sessions, including task prompts, status tracking, and termination.
  • Worktree Isolation Tools - Isolates parallel agent tasks into dedicated directories and branch-based URLs using git worktrees.
  • Git Workflows - Manages branching and pull requests using isolated git worktrees to enable parallel agent workflows.
  • Agent Command Line Interfaces - Provides a terminal interface for managing agent sessions, worktrees, and streaming real-time output.
  • Encrypted Relaying - Links remote clients to a local daemon using end-to-end encrypted relays for secure cross-device control.
  • Remote Access - Enables secure connectivity to agents on local machines or remote servers via encrypted relays.
  • Branch-Based URL Routing - Assigns unique, branch-based URLs to parallel agents to prevent network port conflicts.
  • Agent Daemon Connections - Enables secure, encrypted connectivity to remote agent daemons via local sockets or relay URLs.
  • Iterative Execution Loops - Employs an automated cycle of agent code generation followed by command verification to ensure success.
  • Committee Planning - Forms groups of high-reasoning agents to perform strategic planning and root cause analysis for complex problems.
  • Agentic Execution Loops - Automates the repetition of agent executions until a specific verification command passes.
  • Task Hand-off Transfers - Implements a transfer mechanism to hand off tasks between agents via briefings containing context and acceptance criteria.
  • Model List Management - Provides administrative tools for adding, relabeling, and refining the list of available AI models.
  • Headless Execution Pipelines - Operates as a background orchestration engine on servers without a graphical user interface.
  • Generation Steering Instructions - Implements a per-project prompt system to steer the wording and format of generated titles and commit messages.
  • Advisor Solicitation - Allows the system to spawn separate agents to provide a second opinion or judgment on specific tasks.
  • Agent Preference Settings - Allows users to specify preferred AI models and reasoning levels for background metadata tasks.
  • Workspace Workflow Scripting - Executes custom shell scripts during workspace creation and archival for dependency installation.
  • Background Service Management - Manages long-running processes within workspaces and routes HTTP traffic via a reverse proxy.
  • CLI Agent Management - Includes command-line utilities for controlling agent sessions, configuration, and managing input streams via native adapters.
  • Pre-Commit Visual Reviews - Includes a visual diff viewer for inspecting modifications to the codebase before committing changes.
  • GitHub API Integrations - Provides a centralized interface for performing commits, pushes, and pull request management via GitHub APIs.
  • GitHub Workflow Integrations - Offers an integrated interface for managing repository tasks, commits, and pull requests within the development environment.
  • Real-Time Output Streaming - Streams the standard output of running agents in real-time to the terminal for progress tracking.
  • Agent Task Dependency Resolvers - Provides a blocking execution mechanism to ensure agent task dependencies are completed in the correct order.
  • Session Automations - Automatically launches pre-defined terminal sessions upon workspace creation for real-time logging.
  • Terminal Session Lifecycle Management - Manages terminal instances for specific directories by capturing output and sending key inputs.
  • Version Control Integrations - Surfaces pull requests, checks, and reviews within the management interface to streamline the code review process.
  • Visual Layouts - Provides a visual arrangement system using split panels and tabbed groups for agents, browsers, and terminals.
  • Daemon Lifecycle Management - Provides tools to start, stop, and monitor the lifecycle of the agent hosting daemon.
  • Branch-Based URL Aliases - Assigns unique development server URLs based on git branch names to prevent network port conflicts between agents.
  • JSON-RPC Implementations - Uses a standardized JSON-RPC protocol over stdio to exchange commands and capabilities with agent binaries.
  • AI Provider Profiles - Supports creating multiple distinct profiles for the same provider to manage different credentials and model lists.
  • Headless Daemon Management - Provides management of the orchestration engine running as a non-interactive background service.
  • AI Agent Activity Monitors - Provides a real-time stream and filter for execution history to track agent progress and tool usage.
9,118 Stars·866 Forks·TypeScript·125 Aufrufe

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Häufig gestellte Fragen

Was macht getpaseo/paseo?

Paseo is an LLM coding agent orchestrator and multi-agent workflow manager designed to coordinate multiple AI agents across isolated git worktrees. It provides a unified control interface for managing these agents and their associated environments to execute complex programming tasks.

Was sind die Hauptfunktionen von getpaseo/paseo?

Die Hauptfunktionen von getpaseo/paseo sind: Coding Agent Orchestrators, Multi-Provider Orchestrators, Git Workspace Isolations, Agentic Workflow Orchestration, Agent Client Protocols, Worktree Isolation, AI Provider Integrations, Agentic Workflow Automation.

Welche Open-Source-Alternativen gibt es zu getpaseo/paseo?

Open-Source-Alternativen zu getpaseo/paseo sind unter anderem: smtg-ai/claude-squad — Claude Squad is a terminal-based orchestrator for running multiple AI coding assistants in parallel. It manages the… claude-code-best/claude-code — Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software… dimillian/codexmonitor — CodexMonitor is an AI agent orchestration interface designed for monitoring agentic workflows and managing remote… agentwrapper/agent-orchestrator — This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of… hkuds/clawteam — ClawTeam is a framework for coordinating multiple large language model agents to automate complex technical workflows.… kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development…