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automazeio/ccpm

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7,387 stars·756 forks·Shell·mit·26 viewsautomaze.io/ccpm↗

Ccpm

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 epics into discrete tasks without an internet connection. To execute these tasks, the orchestrator launches multiple concurrent AI agents within isolated worktrees to prevent merge conflicts during parallel development.

The project covers a broad range of planning and monitoring capabilities, including the generation of structured requirements documents, technical implementation planning, and hierarchical requirement decomposition. It also includes observability utilities for project progress monitoring and status reporting by analyzing local task files and remote issue states.

The project is primarily implemented as a collection of shell scripts.

Features

  • Agent Orchestrators - Orchestrates multiple independent AI agents across separate worktrees to execute concurrent development streams.
  • Requirement Traceability Frameworks - Functions as a requirement traceability tool linking product requirements and technical epics to specific tasks and commits.
  • Agent Delegation Systems - Assigns specialized agents to implement specific tasks while tracking progress and maintaining audit trails.
  • Concurrent Agent Execution - Distributes scoped workstreams across multiple specialized agents executing concurrently in isolated environments.
  • AI Agent Orchestrators - Coordinates groups of specialized agents using isolated worktrees to implement scoped development tasks.
  • Worktree Isolation - Launches independent git worktrees to run concurrent agents on separate files, preventing merge conflicts.
  • Task Planners - Implements a local-first planning engine to decompose high-level objectives into executable technical tasks.
  • GitHub Integration Tools - Synchronizes hierarchical epics and tasks to GitHub issues using labels to maintain relationships.
  • Local-First Development - Enables requirement parsing and epic decomposition to be performed locally without an internet connection.
  • Offline Development Tools - Provides a workflow for requirement parsing and epic decomposition that operates without internet connectivity.
  • Agent Session Parallelization - Launches multiple agents to work concurrently on independent scoped files based on task stream analysis.
  • Task-to-Issue Mappings - Links local task files to remote identifiers using structured metadata and labels for traceability.
  • Requirement-to-Code Mappings - Implements a system for tracing the path from a product document through epics and issues to the resulting code.
  • Bidirectional State Synchronizations - Maintains a consistent source of truth by importing remote issue records and pushing local state updates.
  • Issue Tracking Integrations - Provides bidirectional synchronization between local project plans and remote GitHub issue states.
  • Requirement to Task Decomposition - Transforms high-level product requirements into technical epics and discrete task files with acceptance criteria.
  • Implementation Planning - Transforms product requirements into architectural plans that map technical approaches and dependencies.
  • Traceability Frameworks - Maintains a complete development audit trail by linking requirements through epics and tasks to final commits.
  • Context Integrity Validations - Uses self-verification checkpoints during data analysis to prevent hallucinations and ensure context accuracy.
  • Automated Status Reports - Ships a bash-scripting utility that scans local project files to generate automated status reports on progress and blockers.
  • Project Progress Tracking - Analyzes local task files and remote issue states to track development velocity and identify blockers.
  • Requirement-to-Epic Conversions - Captures problem statements and constraints to generate structured requirements documents and technical epics.
  • Product Requirements Generation - Offers a guided brainstorming process to capture project scope, user needs, and success criteria in structured documents.
  • Task Management - Project management tool for Claude Code using GitHub Issues and worktrees.

Star history

Star history chart for automazeio/ccpmStar history chart for automazeio/ccpm

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.

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

What does automazeio/ccpm do?

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.

What are the main features of automazeio/ccpm?

The main features of automazeio/ccpm are: Agent Orchestrators, Requirement Traceability Frameworks, Agent Delegation Systems, Concurrent Agent Execution, AI Agent Orchestrators, Worktree Isolation, Task Planners, GitHub Integration Tools.

Which projects share features with automazeio/ccpm?

Projects with overlapping indexed features include: kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development… superset-sh/superset — Superset is an agentic development environment designed to orchestrate autonomous AI coding agents. It functions as a… humanlayer/humanlayer — Humanlayer is an LLM coding agent orchestrator and AI-driven workflow manager designed to coordinate multiple agents… datawhalechina/vibe-vibe — vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent… snarktank/ai-dev-tasks — This project is an AI agent workflow orchestrator and software development framework designed to transform high-level… agentwrapper/agent-orchestrator — This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of…