Windrunner
Windrunner is an AI-powered project collaboration and work management platform that combines work items, decisions, blockers, evidence, and progress into a single shared workspace to help teams coordinate work and review AI-proposed updates.
Windrunner is productivity software teams evaluate for productivity. Use this page to review pricing, integration signals, and the best alternatives before you commit.
Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.
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Quick Overview
Best for: Productivity
What it does
Productivity software for decision-makers comparing workflow fit and alternatives.
Best fit
Productivity
Pricing snapshot
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Next step
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Windrunner
Windrunner is presented as an AI-powered project collaboration and work management workspace that brings work items, decisions, blockers, evidence, and progress into one shared workspace so teams can coordinate work, ask questions in context, and review AI-proposed updates. It targets teams that need shared project context, visibility into status and priorities, and AI assistance that understands project-specific context. The product emphasizes reviewable AI updates (people remain in control), team access controls, and the ability to measure AI impact and connect with external agents and tooling.
An AI-powered project workspace where teams coordinate work, track progress, and review contextual AI updates in one place.
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Claim this listing for $29Key Features
Shared project workspace
Keep work items, decisions, answers, blockers, and supporting context together in one shared workspace so teams can collaborate with project context preserved.
Progress at a glance
See status, priority, due dates, assignments, blockers, and activity while preserving the project context behind them.
AI that understands the project
Ask what's next, what's blocked, or how work is progressing with relevant project context built into AI queries.
Reviewable AI updates
AI can suggest updates to work items and entries while people stay in control of which changes get accepted.
Teams and access
Grant appropriate access to people and keep collaboration focused on relevant work.
Bring your own AI provider
Use supported AI providers with your own credentials, models, and limits.
Measure AI impact
Track usage, acceptance rates, and estimated time saved by project, provider, and feature.
Connect agents through MCPL
Allow agents like Codex, Claude Desktop, Cursor, and other agents to search work, read context, record findings, and update status.
Automate with API and CLI
Connect existing tools and automate projects, work items, entries, and search with REST and the CLI.
Self-host your workspace
Deploy with Docker Compose and PostgreSQL to keep project data in your infrastructure.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Team project collaboration
Centralize work items, decisions, blockers, and evidence so teams can coordinate and follow progress in a shared workspace.
AI-assisted project management
Use project-aware AI to ask status questions, surface what's blocked, and receive AI-proposed updates that humans can review and accept.
Integrations and automation
Automate workflows and integrate with existing tools using the REST API and CLI to keep project systems in sync.
On-premise deployments
Self-host Windrunner with Docker Compose and PostgreSQL to maintain project data within your own infrastructure.
Integrations
MCPL agents (Codex, Claude Desktop, Cursor)
Agents can search work, read context, record findings, and update status through MCPL.
AI Providers
Bring your own AI provider with your own credentials, models, and limits to power AI features.
REST API & CLI
Connect existing tools and automate projects, work items, entries, and search using the REST API and the CLI.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Explore the workspace via the site documentation and product pages to learn core concepts and workflows.
- 2 Configure an AI provider using your own credentials and preferred models to enable AI features.
- 3 Integrate or automate with the REST API or CLI, or deploy a self-hosted instance using Docker Compose and PostgreSQL to keep data in your infrastructure.
Support
docs
Documentation and guides are available on the site (Docs, API Reference, Getting started, Core concepts).
changelog
Changelog available on the site for release history and updates.
github
Repository and issue tracking referenced via the site's GitHub link for code, issues, and contributions.
API
API Reference (linked from the site navigation)
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