Your systems’ logic, connected and kept up to date. A shared source of truth for people, AI agents and tools.
GitMir turns them into a living source of truth — high-precision information models of how your systems actually work.
Visual for people. High-density, minimal context for AI agents and tools through MCP.
Current. Traceable. Updated with your systems.
Each product has its own plan. They share one account, one workspace and one Intelligence.
Connect repositories and GitMir keeps a living model of what the product does. People ask and see it, agents get sufficient context over MCP, and every change shows what it reached.
3,000 credits to start · $29 per active developer / month
Turn it on for a project and GitMir carries out the work your team accepts — from the same Intelligence — and commits it to your repository.
$99 per project / month
Add one MCP server to Claude Code, Cursor, VS Code or Codex. Your agent signs you in, sends you to GitHub to pick the repository, starts reading it and asks GitMir from then on — no dashboard needed.
3,000 credits to start · $29 per person / month
Everyone reads from the same model: two colleagues get the same account of the product, not two reconstructions.
Agents get the product understanding they would otherwise rebuild from the repository on every task.
Your own services ask the same questions your people ask — through MCP.
Keep your tools. Give them a shared product model.
Get the answer, validation or visibility you need without reconstructing the underlying system yourself.
Serve sufficient high-density context instead of making every model rediscover meaning from raw implementation.
Connect existing workflows through MCP and let the same Intelligence support automation, monitoring and execution.
TRUSTED · CURRENT · SUFFICIENT · VERIFIABLE · UNDERSTANDABLE
The information usually exists. The expensive part is finding it, reconstructing it, checking it and making it understandable every time it is needed.
Human attention, senior engineering time and AI context are repeatedly spent recovering understanding that already existed somewhere in the company.
The Intelligence Layer stays available, evolves with the source and can be reused by the next person, model, workflow or automated process.
Not another tool to replace your stack. A better source of Intelligence for the work your people, AI and systems already do.
Ask what exists, how it works, what changed or what a requirement touches — without investigating the source manually.
Compare requirements, product logic and implementation to validate what was actually built.
Analyze impact, risk, market position, product gaps or company-wide questions from structured Intelligence.
Bring Intelligence into Claude, Codex, Cursor, internal agents and enterprise workflows through MCP.
Keep visibility into changes, autonomous work and product reality while reducing manual inspection and supervision.
Use GitMir Compute or your own agents to execute with sufficient context and less expensive reconstruction.
Accuracy is only useful when the Intelligence is also sufficient, compact and fast enough to reuse. We measure the result — and publish it.
| Input | Quality | Context | Cost |
|---|---|---|---|
| GitMir | 92% | 8.4K | $0.07 |
| Unblocked | 78% | 27.4K | $0.19 |
| Raw repository context | 58% | 61.3K | $0.41 |
Start with one repository. Keep your tools and workflow. Add a reusable source of Intelligence that can grow from implementation to product and company-wide context.
Linear
Jira
Asana
ClickUp
Notion
Confluence
Claude Code
Cursor
Codex
GitHub Copilot
Windsurf
Gemini CLI
Cline
Sourcegraph
Augment
CodeRabbit
GitHub
GitLab
Bitbucket