This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
OpenContext
Persistent, project-local memory for AI coding agent via MCP
OpenContext MCP solves session amnesia in AI coding assistants like Cursor, Claude Desktop, and OpenCode. By running a zero-config Model Context Protocol server, agents gain access to save_context and read_context tools that read and persist durable project decisions inside a localopencontext/ folder. Features: - 100% Local & Transparent: Plain Markdown files stored right in your project root. - Zero Infrastructure: No databases, background daemons, or cloud accounts.
About OpenContext on Product Hunt
“Persistent, project-local memory for AI coding agent via MCP”
OpenContext was submitted on Product Hunt and earned 3 upvotes and 0 comments, placing #45 on the daily leaderboard. OpenContext MCP solves session amnesia in AI coding assistants like Cursor, Claude Desktop, and OpenCode. By running a zero-config Model Context Protocol server, agents gain access to save_context and read_context tools that read and persist durable project decisions inside a localopencontext/ folder. Features: - 100% Local & Transparent: Plain Markdown files stored right in your project root. - Zero Infrastructure: No databases, background daemons, or cloud accounts.
On the analytics side, OpenContext competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how OpenContext performed against the three products that launched closest to it on the same day.
Who hunted OpenContext?
OpenContext was hunted by Luca Sträter. 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 OpenContext including community comment highlights and product details, visit the product overview.