Software is our first problem space.
Engineering teams pay twice for AI: once for the model, then again for the people who explain the product to it. GitMir gives people and agents one compact model of how the software works — so understanding is built once and reused on every change.
Development inside the model of the product.
GitMir IDE keeps a living model of your product — entities, dependencies, rules and processes — and makes AI work against it. Changes are proposed with their impact visible before code is written, and verified against the model after.
Understand
Product logic is explicit and searchable — for the team and for every agent.
Change safely
Dependencies and reach are computed from the graph, so impact is known up front.
Verify
The result is checked against the model — not against hope and code review alone.
Same decisions. Fewer tokens.
When agents reason over task-scoped knowledge instead of raw context, the same chain of work costs less to run. ensemble applies GitMir's knowledge separation to production agent workloads.
ILLUSTRATIVE EXAMPLE — YOUR BASELINE IS MEASURED ON YOUR OWN WORKLOAD BEFORE ANY TARGET IS AGREED.
One technology. Honest statuses.
Every product is an application of the same object-context technology to a different workflow. Statuses below are real: live means you can use it today.
Uncoordinated agents, duplicated context assembly.
Repeated clarification, contradictory decisions, lost commitments.
Manual prospect research, mistimed outreach.
Experiments that start from zero, unrecorded learning.
Pay for real usage.
GitMir IDE
- Full product model on your codebase
- Pay for what you actually run — no seat licenses
- Open-source core
GitMir Connect
- Shared task and execution context for small teams
- Fewer interruptions, no status chasing
- Live today
Enterprise
- Baseline measured before any commitment
- Target and success criteria in the contract
- Private models and proprietary workflows
Run it on a system you already know.
The fastest way to evaluate GitMir is to point it at your own repository.