Creed
Creed is a single Markdown file that describes who you are and how you work, which you plug into every AI tool you use — so you stop re-explaining your job, your team and your preferences to a new chatbot every time.
🔗 Visit Creed
Description
Every time you start a fresh conversation with an AI assistant, you're implicitly starting from zero — it doesn't know your role, your team's conventions, or what you already told a different tool yesterday. Creed's fix is a personal context file, written in plain Markdown, that any MCP-compatible AI agent can read, so your context travels with you across tools instead of resetting each time.
Creed offers a rich Markdown editor with reusable components, MCP (Model Context Protocol) connections to sync with other apps, quality scoring to flag weak or thin context entries, cross-device sync, and a shared "company context" mode for teams. Because everything is stored as plain Markdown, there's no lock-in — you own your data and can export it at any time. It's open source with a free self-hosted option, plus Personal ($12/month) and Company ($129/month, 10 seats) paid tiers that include AI usage credits and bring-your-own-key support.
💬 Our review
The short version: Creed is infrastructure for people who use several different AI tools regularly and are tired of repeating themselves — it's not useful if you only ever talk to one chatbot.
The choice to store everything as plain Markdown rather than a proprietary format is the right call for a tool whose entire value proposition is portability — if your context is locked in a database you can't export, you've just recreated the problem Creed is solving. MCP support means it plugs into the growing ecosystem of tools adopting that protocol rather than requiring custom integrations per app. The free self-hosted option removes real risk from trying it. The honest limitation: it only helps with tools that actually read MCP context — if the AI products you use daily don't support it yet, Creed's value is mostly theoretical until they catch up, and "quality scoring" for context files is a newer, less proven concept than the rest of the product.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit en self-hosted (open source) ; Personal 12$/mois ; Company 129$/mois (10 sièges, 999$/an ou 1999$ à vie)
Pros
Stockage en Markdown brut, aucun verrouillage
Compatible MCP, s'intègre à plusieurs outils IA
Option self-hosted gratuite
Scoring de qualité du contexte
Cons
Valeur limitée si vos outils IA ne supportent pas MCP
Concept de scoring encore jeune
Nécessite une discipline pour maintenir le fichier à jour