A repository of meaning
Your systems’ logic, connected and kept up to date.
A shared source of truth for people, AI agents and tools.
PUBLIC REGISTRY IN PREPARATION · MODELS ARE BUILT FROM EXPLICITLY LICENSED OPEN-SOURCE REPOSITORIES
Connect: Repositories (GitHub, GitLab, Bitbucket); Documents (Notion, Confluence); Tools over API (Jira, Asana, ClickUp); Tools over MCP (Linear, CodeRabbit).
GitMir Intelligence — one information model: converts raw API, Code, PRD, Terms, Data into Product & features, Code & architecture, Documents & decisions, Legal & compliance, Metrics & usage.
For: People: See and verify anything visually. AI agents: Small, precise context — enough to work without guessing. Proactive AI: Flags what needs attention before anyone asks.
GitMir Global Mind
GitHub indexes software by source code. GitMir indexes software by meaning
We are building a global repository of how software works. GitMir turns public repositories, websites and digital products into structured models of their capabilities, behaviour and dependencies, creating reusable product knowledge for people and AI.
Today: 8 real products are modelled in public and open without an account. The same engine runs on the rest.
Products on this data
Questions no code search can answer
"Find open-source products with multi-tenant billing." The answer is a list of models that behave that way — regardless of what the code calls it.
"Compare authentication models across five platforms." How each one behaves, side by side — meaning against meaning, not file tree against file tree.
"Show how different products implement a plan upgrade." The reach graph of each — screens, invariants, payment checks, usage effects — as comparable drawings.
"Find reusable architectures, journeys and business patterns." Proven product mechanics, extracted as structure you can adopt.
Agents reason over verified objects, relationships and rules — by meaning, not filenames — with every claim traceable back to source.
Eight models are live
Supabase Studio
Supabase Studio459,339 lines of a production database platform, answerable. Ask it what a change breaks, how a member is invited, what an agent must know before touching billing — and walk the live engineering drawing.
Open the case study →OpenAI Codex
OpenAI CodexThe coding agent, modeled: 603,461 lines of agent core, tools, sandboxing and approvals, execution policy and MCP — answerable. 84/84 tasks, zero integrity failures.
Open the model →Cal.com
Cal.comScheduling infrastructure, modeled: 365,422 lines of booking and rescheduling, availability, calendar and payment integrations, the platform API and the app store. 290/290 tasks, zero conflicts.
Open the model →Atlas
AtlasA self-hosted business suite: CRM, HR, invoices, projects, modeled: 173,995 lines read into 28 customer paths, 20 status flows and 16 rules — answerable. 132/132 parts read, zero conflicts.
Open the model →Warpdrive
WarpdriveAn open-source Pipedrive alternative for sales teams, modeled: 118,121 lines read into 24 customer paths, 7 status flows and 12 rules — answerable. 96/96 parts read, zero conflicts.
Open the model →DroneOps Command
DroneOps CommandMission management for commercial drone operators, modeled: 59,638 lines read into 19 customer paths, 6 status flows and 9 rules — answerable. 48/48 parts read, zero conflicts.
Open the model →Pronto
ProntoBooking, CRM and point of sale for salons and shops, modeled: 20,340 lines read into 15 customer paths, 2 status flows and 8 rules — answerable. 19/19 parts read, zero conflicts.
Open the model →Faktorio
FaktorioInvoicing for self-employed contractors, modeled: 27,422 lines read into 19 customer paths, 4 status flows and 7 rules — answerable. 23/23 parts read, zero conflicts.
Open the model →Supabase Studio architecture →OpenAI Codex architecture →Cal.com architecture →Atlas architecture →Warpdrive architecture →DroneOps Command architecture →Pronto architecture →Faktorio architecture →
NEXT IN THE QUEUE: N8N · TWENTY · MEDUSA · GHOST · DISCOURSE · ERPNEXT · IMMICH · EXCALIDRAW — CLONED WITH FULL HISTORY, MODELS IN PREPARATION.
Licensed sources only
Public models are built from repositories with explicit open-source licenses; the license and source commit are shown on every model.
Attribution, always
Every model links to its original repository. GitMir interprets software; it does not claim ownership of it.
Maintainer control
Repository maintainers can request an update or removal of a public model at any time.
Your code is messier than this?
Good. Connect it
GitHub tells you how software is written. GitMir tells you how it works.