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Oynix
memory engine that actually remembers. built for AI agents.
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.
Index your codebase locally, and your coding agent becomes aware of all of it.
What you can expect:
1. One command indexes a repo or a folder on your machine. Nothing is uploaded.
2. Your agent queries it over MCP: what a symbol does, what calls it, who owns it, what breaks if you change it.
3. A per-module wiki, the repo hotspots, and a health score with dead code, dependency cycles and god objects.
4. Give it your intended architecture and it reports the imports that break it.
5. The agent writes down what it did, including the steps that broke, and reads it back next session. Start in Claude Code, continue in Codex.
Works with Claude Code, Cursor, Codex, Copilot, VS Code, Zed and a dozen more. macOS and Windows, free to install.
Give it a shot and tell us what your agent still couldn't answer, we're very keen on feedback!
About Oynix on Product Hunt
“memory engine that actually remembers. built for AI agents.”
Oynix was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #16 on the daily leaderboard. 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.
On the analytics side, Oynix competes within Productivity, Software Engineering and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Oynix performed against the three products that launched closest to it on the same day.
Who hunted Oynix?
Oynix was hunted by Priyam Soni. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Oynix including community comment highlights and product details, visit the product overview.
Priyam Soni
Hi PH, today we're launching Oynix.
Index your codebase locally, and your coding agent becomes aware of all of it.
What you can expect:
1. One command indexes a repo or a folder on your machine. Nothing is uploaded.
2. Your agent queries it over MCP: what a symbol does, what calls it, who owns it, what breaks if you change it.
3. A per-module wiki, the repo hotspots, and a health score with dead code, dependency cycles and god objects.
4. Give it your intended architecture and it reports the imports that break it.
5. The agent writes down what it did, including the steps that broke, and reads it back next session. Start in Claude Code, continue in Codex.
Works with Claude Code, Cursor, Codex, Copilot, VS Code, Zed and a dozen more. macOS and Windows, free to install.
Give it a shot and tell us what your agent still couldn't answer, we're very keen on feedback!