Oynix
memory engine that actually remembers. built for AI agents.
What it does
Your AI coding agent knows your code but not your company. Oynix gives it organizational memory, not just code search. It builds one live graph across repos, docs, Jira, ownership, incidents and past decisions, and serves it over MCP inside agnets like Claude Code, Codex and 16 others. Now agents answer cross-repo "why does this exist / what breaks / who owns this" from real company memory, on your own keys, instead of starting from zero every session.
Oynix ties the code, tickets, docs and threads your team already has into one graph, then serves it to whatever AI agent you use. Runs on your machine. Retrieval costs zero tokens.
Oynix remembers everything from and helps your see, rather than start blind. The decision lives in a Slack thread. The rationale left with the engineer. Your agent starts every session blind, and rewrites what someone already solved. The industry spent two years measuring what AI gives back. The measurements that matter now are about what it costs when it does not know what your team already knows. Uber spent its entire 2026 AI budget in four months of a twelve month year, after putting Claude Code in front of roughly 5,000 engineers. What Salesforce expects to spend on Anthropic this year. Asked what for, Benioff answered in one word: “Coding.” One two hour coding session, run by Uber’s…from oynix.dev
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