Unblocked builds one graph over the sources a team already has. GitMir builds the business logic those sources describe — the rules, customer paths and features, and how they connect.
Fifty questions in the words work is assigned in, the same model and settings for every system, answers graded blind.
Unblocked
A context layer for agentic development: repositories, conversations, tickets, documentation, analytics and production in one graph, traversed at once.
Describes itself as “the context layer for agentic software development”: one graph over every source a team already has — repositories, conversations, tickets, documentation, analytics and production — traversed at once instead of searched silo by silo. The graph is of the sources; what the product does and which rule holds which state is left for the model to infer from them on each request.
GitMir
Features, rules, customer paths and how they connect, built from your code and kept current with every commit.
GitMir establishes what a product does once, from the repository, and serves each task only what it needs — with every statement traceable to the source it came from.
A graph of sources answers where something was said or written. It leaves “which rule holds this state, and what else does this change reach” to the model, on every request.
| Dimension | Unblocked | GitMir |
|---|---|---|
| Primary layer | AI Context | Meaning / Product |
| What it understands | Code, conversations, tickets, docs, analytics, production | What the product does and how it behaves |
| Relationships | Cross-source graph | Business + technical |
| AI agent context | Core | Established product knowledge |
| Change impact | Code-level | Product-logic level |
| Primary buyer | Developers / AI engineering | CTO / VP Eng / Product / AI |
Positioning per each vendor’s own public description. Nothing here says a tool is bad at what it is built for.
Both connect to the same coding agents over MCP. Nothing stops a team running source retrieval and a business-logic model side by side.
Both connect to the same coding agents over MCP. Nothing stops a team running source retrieval and a business-logic model side by side.
Benchmark 001: one repository, fifty questions in the words work is actually assigned in, the same AI model and settings for every system, answers graded blind. GitMir answered 92% correctly against 78% for Unblocked, on 8.4K tokens of context per question against 27.4K. The full method and every number are published.
A graph of sources answers where something was said or written. It leaves “which rule holds this state, and what else does this change reach” to the model, on every request. GitMir builds the business logic of the product once — features, rules, customer paths and how they connect — keeps it current with every commit, and gives the part a task touches to people and to AI.
GitMir vs Augment Code →GitMir vs Sourcegraph →GitMir vs Qodo →GitMir vs Greptile →