PAPI

What is PAPI?

PAPI gives AI-assisted development a shared layer for project intelligence. It combines a hosted dashboard at getpapi.ai with an MCP server that your AI coding tool connects to, so planning, tasks and decisions live in one place instead of in separate chats. Work moves through a loop of plan, build, review and release, organised into cycles that each land on a shared board. Every person on a team can use a different MCP client, such as Claude Code, Codex, Cursor or ChatGPT, and still work from the same project. PAPI keeps a decision record, a roadmap, strategy reviews and a quality gate that audits builds, and it tells you what changed without anyone writing a status update. It does not write code or run an AI of its own, and it stores tasks, decisions and build reports but not your source code. There is a free plan with three projects, and Pro and Team plans for more projects and collaborators.

Use cases

• Plan the next cycle of AI-built tasks
• Share one board across different AI tools
• Record architecture decisions with reasons
• Review builds before they ship
• Track velocity and scope accuracy
• Carry lessons between projects

Who it's for

• Vibe coding teams
• Solo builders
• Startup engineers
• Product leads

Why use PAPI

• Keeps a team's plan, decisions and progress coherent even when members use different AI coding tools.
• Removes manual status updates because the board changes as cycles progress.
• Adds no model costs of its own, since your existing Claude, Cursor or Codex plan does the thinking.
• Preserves why a choice was made, so later sessions start with the rules and past dead ends already known.
• Leaves your source code with you; only tasks, decisions and build reports are stored.

PAPI features

• MCP server that works with any MCP client
• Plan, build, review and release workflow in cycles
• Live board that updates without status reports
• Decision record with confidence levels and revisit flags
• Automated roadmap kept current as work ships
• Quality gate that audits builds before release (Team)
• Strategy reviews every few cycles
• Replay of how decisions were made (Pro)
• Off-plan build alerts and on-course checks (Pro)
• Multiple projects in one account

PAPI integrations

• Claude Code
• Codex
• Cursor
• ChatGPT

How to get started with PAPI

1. Tell your AI tool to read the getpapi.ai setup file, which connects it to PAPI over MCP.
2. Plan a cycle: your AI breaks the backlog into small tasks with clear instructions.
3. Build the tasks in your own AI tool while the shared board updates.
4. Run a review so each build is checked and discoveries are logged.
5. Release the cycle; lessons and decisions carry into the next plan.

PAPI limitations

• The Free plan is capped at 3 projects
• A Pro project covers you plus one collaborator; larger teams need the Team plan
• The Pro price is shown at checkout rather than on the pricing page
• PAPI does not run an AI model; you pay for AI through the tool you already use
• The terms describe it as early-access software provided as-is

PAPI pricing

Yes, PAPI has a free plan.

PAPI plans

• Free

  €0

  no card

  • 3 projects
  • Unlimited cycles
  • Plan, handoffs, review and release
  • Works with any AI tool

• Pro

  Price on vendor site

  price shown at checkout; free for 14 days

  • Everything in Free
  • Unlimited projects
  • Replay how decisions were made
  • Off-plan build alerts
  • You plus one collaborator on every project

• Team

  Custom

  • Shared projects and roles
  • Quality Gate on every review
  • A shared task pool
  • API and BI export

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

PAPI alternatives

The main PAPI alternatives listed on Debuly are Notion, ContextStream, Bezi, claude-mem, Factory and Kilo Code. The table compares pricing and platforms; order is A–Z.

1. 

   Bezi

   AI agent workspace for game development teams with pages, rules, shared team workspaces and credit-based plans

   CodingProductivity
   FreemiumVisit Bezi (official site)
2. 

   claude-mem

   Open-source memory engine that saves what your coding agent does, summarizes it and brings it back in later sessions.

   CodingDeveloper platformsProductivity
   FreemiumVisit claude-mem (official site)
3. 

   ContextStream

   Shared project memory, code search and agent coordination for AI coding tools, connected through MCP and a browser workspace.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit ContextStream (official site)
4. 

   Factory

   Software development agents called Droids that plan, code and validate work from a desktop app, CLI or SDK, from $20/month.

   CodingAutomation and agentsDeveloper platforms
   PaidVisit Factory (official site)
5. 

   Kilo Code

   Open-source AI coding agent for VS Code, JetBrains and the CLI, with 500+ models, bring-your-own-key and team plans.

   CodingDeveloper platformsAutomation and agents
   FreemiumVisit Kilo Code (official site)
6. 

   Notion

   Connected workspace for docs, databases and projects with built-in Notion AI agents, enterprise search and AI meeting notes.

   ProductivityAutomation and agentsWriting
   FreemiumVisit Notion (official site)

PAPI FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from getpapi.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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