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getpaseo avatar

getpaseo/paseo

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paseo.sh↗

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·220 views

Star history

Star history chart for getpaseo/paseoStar history chart for getpaseo/paseo

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with Paseo

These projects share indexed features with Paseo. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    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

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Frequently asked questions

What does getpaseo/paseo do?

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.

What are the main features of getpaseo/paseo?

The main features of getpaseo/paseo are: Coding Agent Orchestrators, Multi-Provider Orchestrators, Git Workspace Isolations, Agentic Workflow Orchestration, Agent Client Protocols, Worktree Isolation, AI Provider Integrations, Agentic Workflow Automation.

Which projects share features with getpaseo/paseo?

Projects with overlapping indexed features include: 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…