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SupraCortex
One shared project memory for coding agents Copy
SupraCortex keeps decisions, constraints, and task handoffs in one local project memory for Claude Code, Codex, OpenCode, and MCP clients. It retrieves relevant, source-backed context within a token budget, and flags stale evidence for review.
Hey everyone!
I built SupraCortex because I kept running into the same problem with coding agents: every time I switched tools or started a new session, useful project context was lost.
I didn't want another giant chat history or a pile of Markdown files. I wanted one local place to keep the decisions, constraints, and lessons that actually matter.
So I built SupraCortex.
It gives Claude Code, Codex, OpenCode, and other MCP clients access to the same project memory. It also tracks where memories came from, flags outdated information, and helps carry work between sessions.
It's open source, MIT licensed, and still early.
I'd really like to hear from developers using multiple coding agents. What would you want your agents to remember automatically, and what should require your approval?
GitHub: https://github.com/Xelson431/sup...
Thanks for checking it out!
About SupraCortex on Product Hunt
“One shared project memory for coding agents Copy”
SupraCortex was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #179 on the daily leaderboard. SupraCortex keeps decisions, constraints, and task handoffs in one local project memory for Claude Code, Codex, OpenCode, and MCP clients. It retrieves relevant, source-backed context within a token budget, and flags stale evidence for review.
On the analytics side, SupraCortex competes within Productivity, Artificial Intelligence and GitHub — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how SupraCortex performed against the three products that launched closest to it on the same day.
Who hunted SupraCortex?
SupraCortex was hunted by Anas abbassi. 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 SupraCortex including community comment highlights and product details, visit the product overview.
Anas abbassi