
Coding agents don't understand your repo. They grep, they guess, they re-read the same files, and they stuff half your codebase into a context window hoping the answer is in there somewhere. You pay for every one of those tokens, and the agent still misses the cross-file relationship that mattered.
The bottleneck isn't the model. It's context.
GitNexus indexes your repository into a knowledge graph (symbols, call paths, imports, ownership, history) and serves the agent exactly the context a task needs, instead of everything it might need.
It's one connected stack:
On the DeepSWE benchmark, we ran the same agent with our graph and without it:
Full methodology and results: https://www.akonlabs.com/benchmarks
Subham Kundu and Abhigyan Patwari have spent nearly half a decade working on knowledge graphs. Between them, they've been founding engineers, CTOs, and principal AI engineers, taking products from 0 to 100 at multiple startups. Subham is a seasoned engineer who has scaled products to millions of users, won multiple hackathons, and doing a PhD in reinforcement learning. Abhigyan is a seasoned technologist and serial open source contributor, with involvement across multiple open source projects.
Managed, or fully sovereign. Self-hosted, air-gapped, nothing leaves your network.
If you want to lower your coding agent spend without giving up frontier performance, sign up at https://www.akonlabs.com. We'll get you set up on your own repo and show you the before-and-after on your actual token costs.
GitNexus, by Akon Labs. The nervous system for agent context.
Contact us at: founders@akonlabs.com
Website: https://www.akonlabs.com