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CCPM – The Project Manager Agent

CCPM is a self-hosted Shell-based project management skill system for coding agents. It represents project work through product requirements, epics, GitHub Issues and task files, then uses Git worktrees to support parallel agent execution. The repository is compatible with the Agent Skills approach and is released under the MIT license.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

CCPM – The Project Manager Agent — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use CCPM when a software project needs a persistent path from requirements to issues, code and progress tracking, particularly when independent coding streams can run in parallel.

Who it is for

  • Developers using Agent Skills-compatible coding harnesses.
  • Teams coordinating agents and human contributors through GitHub Issues.
  • Builders who need specification-led planning and parallel Git worktree isolation.

Documented uses

  • Turn an idea into a documented product requirement.
  • Break an epic into traceable, parallelizable tasks.
  • Synchronize planned work with GitHub Issues.
  • Coordinate agent tasks in separate Git worktrees.
  • Produce structured status and standup information from project files.
Before you choose

Requirements & limits

CCPM is presented as a public, open-source repository under the MIT license. It is designed for CLI and self-hosted use and is compatible with listed Agent Skills-compatible harnesses.

  • GitHub Issues are used as the work-management source of truth rather than a separate project-management database.
  • Git worktrees provide the documented isolation model for parallel agent execution.
  • The workflow emphasizes traceability from PRD to epic, task, issue, code and commit.
  • The repository is primarily implemented in Shell, so local use depends on a suitable command-line and Git environment.
  • The documented harness model is Agent Skills-compatible rather than limited to a single coding assistant.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up an issue-based parallel coding workflow

Organize a project from a product requirement through GitHub Issues and parallel agent workspaces.

Before you start

  • A self-hosted checkout of the public CCPM repository.
  • A GitHub repository for issue-based project coordination.
  • An Agent Skills-compatible harness, such as Claude Code, Codex, OpenCode, Factory, Amp or Cursor.
  • Git worktrees for isolated parallel task work.

Steps

  1. Create or develop a product requirement through the documented brainstorming and documentation stages.

  2. Plan the requirement as an epic and decompose it into tasks with explicit technical decisions and dependencies.

  3. Synchronize the epic to GitHub so the work is represented by an epic issue and related sub-issues.

  4. Start work on an issue using separate Git worktrees for parallel agent tasks where appropriate.

Expected outcome

The project has a specification-led task structure represented in GitHub Issues, with parallel work assigned to isolated Git worktrees.

Guide limitations

  • The supplied documentation describes the workflow stages but does not provide installation commands or verify a particular local environment.
  • Parallel execution is described for tasks marked parallel: true; suitability depends on the task structure.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
CCPM – The Project Manager AgentTurn an idea into a documented product requirement.CLI, Self-hostedCCPM is presented as a public, open-source repository under the MIT license. It is designed for CLI and self-hosted use and is compatible with listed Agent Skills-compatible harnesses.
Agentic AI Helpdesk PlatformClassify tickets by issue domain and category, and estimate urgency and complexity.Cloud, Docker, Web
TgoConfigure multiple AI agents for different customer-service scenarios and connect supported LLM providers.Docker, Self-hosted, ServerThe repository describes Tgo as open source and provides self-hosting instructions. Its README lists minimum server requirements of four CPU cores and 8 GiB of RAM; local development setup lists macOS, Linux, and WSL2.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
2 October 2026
Original website title
automazeio/ccpm · Official homepage title · retained in its source language
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