One product. Four ways to run it.
Contexer isn't four separate products - it's the same engineering decision layer, from a local JSON store up to an org-wide enforcement layer. Start where you are, grow when you need to.
Same product. Different scope of sharing.
Open Source
The core engine. Runs entirely on your machine. Decisions live as plain JSON in ~/.contexer/.
For developers who want zero accounts, zero cloud, full local control.
Personal Cloud
Same engine, backed by secured cloud storage. Sign in with OAuth, sync across machines and repos, manage from a web dashboard.
For developers working across multiple machines who still want personal-scoped decisions.
Teams
Personal Cloud plus a shared team repository. Invite members, share approved decisions. Leads see confidence scores with evidence and get AI-generated canonical suggestions and updates.
For engineering teams who want one source of truth for architecture, constraints, and conventions.
Organization
Teams across an org, connected. Cross-team sharing, enforcement policies, CI/CD drift detection, SSO, and full audit trail.
For orgs running multiple teams that need governance, enforcement, and drift detection at scale.
What's in each tier.
All cloud tiers use secured storage and give you full control - review, edit, delete, export, or wipe your data at any time. Governance, SSO, and audit trail are Organization-tier features.
Confidence scores with supporting evidence.
Every stored decision on Teams carries a confidence score based on how it was captured (direct directive, AI-proposed, repeated pattern) and the evidence Contexer collected - which files, which sessions, which developer approved it.
Team leads see the full evidence view to spot drift, resolve conflicts, and retire stale decisions. Members just see the approved decision, keeping their sessions focused.
One source of truth for every AI coding session.
Engineering decisions flow from the people who make them, through one approved knowledge layer, into every AI assistant your team uses.
Every AI coding session starts with the same approved engineering decisions.
Rolling out to multiple teams? Let's talk.
Organization pricing is custom. Tell us about your setup and we'll come back with a tailored quote - typically within one business day.