PlanExe

Turn your idea into a comprehensive plan in minutes, not months.

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Example plans generated with PlanExe

• A business plan for a Minecraft-themed escape room.
• A business plan for a Faraday cage manufacturing company.
• A pilot project for a Human as-a Service.
• See more examples here.

What is PlanExe?

PlanExe is an open-source tool, that turns a single plain-english goal statement into a 40-page, strategic plan in ~15 minutes using a local or cloud models. It's an accelerator for outlines, but no silver bullet for polished plans.

Typical output contains:

• Executive summary
• Gantt chart
• Governance structure
• Role descriptions
• Stakeholder maps
• Risk registers
• SWOT analyses

The technical quality of structure, formatting, and coherence is consistently excellent—often superior to human junior/mid-tier consulting drafts. However, budgets remain headline-only, timelines contain errors, metrics are usually vague, and legal/operational realism is weak on high-stakes topics. A usable, client-ready version still requires weeks to months of skilled human refinement.

PlanExe removes 70–90 % of the labor for the planning scaffold on any topic, but the final 10–30 % that separates a polished document from a credible, defensible plan remains human-only work.

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New to PlanExe? Follow the Getting Started guide.

Try it out now (Click to expand)

You can generate 1 plan for free.

Try it here →

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Run locally with Docker (Click to expand)

Prerequisite: Docker with Docker Compose installed; you only need basic Docker knowledge. No local Python setup is required because everything runs in containers.

Quickstart: single-user UI + worker (frontend_single_user + worker_plan)

1. Clone the repo and enter it:

git clone https://github.com/neoneye/PlanExe.git
cd PlanExe

2. Provide an LLM provider. Copy .env.example to .env and fill in OPENROUTER_API_KEY with your key from OpenRouter. The containers mount .env and llm_config.json; pick a model profile there. For host-side Ollama, use the docker-ollama-llama3.1 entry and ensure Ollama is listening on http://host.docker.internal:11434.

3. Start the stack (first run builds the images):

docker compose up worker_plan frontend_single_user

The worker listens on http://localhost:8000 and the UI comes up on http://localhost:7860 after the worker healthcheck passes.

4. Open http://localhost:7860 in your browser. Optional: set PLANEXE_PASSWORD in .env to require a password. Enter your idea, click the generate button, and watch progress with:

docker compose logs -f worker_plan

Outputs are written to run/ on the host (mounted into both containers).

5. Stop with Ctrl+C (or docker compose down). Rebuild after code/dependency changes:

docker compose build --no-cache worker_plan frontend_single_user

For compose tips, alternate ports, or troubleshooting, see extra/docker.md or docker-compose.md.

Configuration

Config A: Run a model in the cloud using a paid provider. Follow the instructions in OpenRouter.

Config B: Run models locally on a high-end computer. Follow the instructions for either Ollama or LM Studio. When using host-side tools with Docker, point the model URL at the host (for example http://host.docker.internal:11434 for Ollama).

Recommendation: I recommend Config A as it offers the most straightforward path to getting PlanExe working reliably.

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Screenshots (Click to expand)

You input a vague description of what you want and PlanExe outputs a plan.

YouTube video: Using PlanExe to plan a lunar base

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Help (Click to expand)

For help or feedback.

Join the PlanExe Discord.