{"slug": "how-i-built-a-cross-platform-project-management-system-for-ai-agents", "title": "How I Built a Cross-Platform Project Management System for AI Agents", "summary": "A developer built Project Overseer, a file-driven project management system that enables AI agents to maintain context across sessions in OpenClaw, Claude Code, Codex CLI, Cline, and Gemini CLI. The system stores project state in plain text files, with each sub-task as a separate file that agents load only when needed. When a sub-task completes, the agent automatically extracts cross-task impacts and propagates them to all dependent tasks, preventing naming conflicts and design inconsistencies without requiring API keys or external services.", "body_md": "Have you ever tried to manage a complex project through an AI agent conversation? It goes something like this: you ask the agent to build something, it starts working, then you switch contexts, come back, and the agent has no idea what was happening before.\n\nI ran into this problem constantly. So I built Project Overseer — a file-driven project management system that works across OpenClaw, Claude Code, Codex CLI, Cline, and Gemini CLI.\n\nAI agents have no persistent memory between sessions. They forget context the moment you switch tasks. Traditional project management tools (Jira, Notion, Linear) are designed for humans, not agents.\n\nInstead of relying on the agent's conversation memory, Project Overseer stores every piece of project state in plain text files:\n\n```\nprojects/my_project/\n├── plan.md          # Full WBS breakdown\n├── status.json      # Current state, risks, dependencies\n└── tasks/\n    ├── design.md    # One file per sub-task\n    ├── backend.md\n    └── frontend.md\n```\n\nEach sub-task is a separate file. The agent only loads what it needs. When switching tasks, it saves current progress, clears context, and loads the next task file.\n\nWhen a sub-task completes, the agent automatically extracts 6 categories of cross-task impact and propagates them to all dependent tasks as pre-start notes. This prevents naming conflicts and design inconsistencies across your entire project.\n\nNo API keys. No external services. No database. Just drop the SKILL.md file into your project.\n\nOpenClaw, Claude Code, Codex CLI, Cline / RooCode, Gemini CLI", "url": "https://wpnews.pro/news/how-i-built-a-cross-platform-project-management-system-for-ai-agents", "canonical_source": "https://dev.to/tiger_hu_fcfc8481cccc15af/how-i-built-a-cross-platform-project-management-system-for-ai-agents-5blb", "published_at": "2026-05-30 10:16:12+00:00", "updated_at": "2026-05-30 10:41:21.573888+00:00", "lang": "en", "topics": ["ai-agents", "ai-tools", "ai-products", "ai-infrastructure", "large-language-models"], "entities": ["Project Overseer", "OpenClaw", "Claude Code", "Codex CLI", "Cline", "Gemini CLI", "Jira", "Notion"], "alternates": {"html": "https://wpnews.pro/news/how-i-built-a-cross-platform-project-management-system-for-ai-agents", "markdown": "https://wpnews.pro/news/how-i-built-a-cross-platform-project-management-system-for-ai-agents.md", "text": "https://wpnews.pro/news/how-i-built-a-cross-platform-project-management-system-for-ai-agents.txt", "jsonld": "https://wpnews.pro/news/how-i-built-a-cross-platform-project-management-system-for-ai-agents.jsonld"}}