PAPI

PAPI

Gives your AI coding assistant a memory — so Claude or Cursor stops forgetting decisions you made yesterday and drifting away from the actual plan halfway through a feature.

🔗 Visit PAPI
📁 SaaS & Productivity🗣️ English

Description

AI coding tools are powerful within a single conversation, but they don't naturally remember decisions made in an earlier session, which leads to "scope drift" — the AI quietly reinventing choices you already settled, or losing track of what you actually asked for. PAPI plugs into AI coding tools (Claude, ChatGPT, Cursor, Lovable, Bolt, Replit) via MCP to hold that persistent project memory: decisions, plans, and progress, all in one place the AI can reference.

It maintains a decision registry that tracks when and why a choice was superseded, measures effort and scope accuracy over time, triggers strategy reviews every five work cycles, supports a shared backlog across multiple people building with AI tools, keeps an audit trail of all changes, and is designed to add no extra AI token overhead since it works inside the tools you already use rather than replacing them.

💬 Our review

The short version: PAPI addresses a real, specific pain of working with AI coding agents across multiple sessions — losing context and drifting off the original plan — and it's cheap enough to try if that's been costing you real rework time.

Against using Jira or Linear as a project tracker alongside your AI tool, PAPI's differentiator is being purpose-built for the AI-coding-agent workflow specifically — decision history, scope-accuracy tracking, and AI handoffs between different tools, none of which Jira or Linear were designed for. At €20/month for the founding-price Pro tier (locked for the first 500 builders, according to the site), it's inexpensive for a solo builder or small team, though that founding-price availability should be verified since it may have already filled up. Worth trying if you regularly hit "wait, didn't we already decide this?" moments across AI coding sessions; unnecessary overhead if you work in short, single-session bursts that don't need cross-session memory.

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
🆓 Freemium

Gratuit (3 projets) ; Pro €20/mois prix de lancement (régulier €29), verrouillé pour les 500 premiers builders ; Team €19/siège

👥 Target audienceDéveloppeurs et petites équipes utilisant des outils IA de code (Claude, Cursor, Lovable, Bolt, Replit) au fil de plusieurs sessions
🗣️ Languagesen
🌍 Target countriesInternational
👍

Pros

Conçu spécifiquement pour le workflow des agents de code IA

Registre de décisions avec historique des changements

Fonctionne sans coût de tokens IA supplémentaire

Backlog partagé entre plusieurs builders

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Cons

Disponibilité du prix de lancement (500 premiers) à vérifier, peut être épuisée

Peu utile pour des sessions IA courtes et isolées sans besoin de mémoire

Nombre d'étoiles GitHub non vérifié

❓ Frequently asked questions

What does PAPI do in one sentence?
How much does it cost?
Which AI tools does it work with?
Does it use up my AI token budget?
What's a 'decision registry'?
Is it worth the money compared to alternatives?
Which tool should you pick for your case?