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Qarinah
Your project remembers when your coding agent changes
Qarinah 0.1.6 gives Codex, Claude Code, Cursor, CLI tools, and compatible MCP clients one local, cited project memory. Set it up once with npx, then switch agents without replaying full history. Published results: 442,113 to 5,682 estimated tokens across six software tasks (98.71% less, all required targets top-five); a 9,489 to 119 continuation capsule (98.75% less); and a complete cited pack of 1,039 tokens (89.05% less). Apache-2.0, local-first, no hosted account or API key.
Hey Product Hunt - I’m Ajnas, the maker of Qarinah. Qarinah gives Codex, Claude Code, Cursor, CLI tools, and compatible MCP clients one project-owned memory. It keeps permitted decisions, outcomes, code relationships, and source evidence beside the repository, then compiles only the compact, cited context needed for the next task. Setup takes one command: npx qarinah setup . --codex --claude --cursor --capture content --allow-query Then use $qarinah in Codex, /qarinah in Claude Code, the project MCP configuration in Cursor, or npx qarinah query "" from any terminal. Latest verified Qarinah 0.1.6 results: - 442,113 to 5,682 estimated tokens across six software tasks - 98.7148% less repeated context and a 77.81:1 ratio, with every required target directly covered in the top five. - 9,489 to 119 estimated tokens for the model-facing continuation capsule - 98.7459% less. - 9,489 to 1,039 estimated tokens for the complete cited continuation pack - 89.0505% less. - 380/380 deterministic file retrievals, with 9/9 unsupported controls rejected. Every selected memory carries its event ID and content hash. Qarinah is local-first, Apache-2.0, and works without a hosted Qarinah account or API key.
About Qarinah on Product Hunt
“Your project remembers when your coding agent changes”
Qarinah was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #89 on the daily leaderboard. Qarinah 0.1.6 gives Codex, Claude Code, Cursor, CLI tools, and compatible MCP clients one local, cited project memory. Set it up once with npx, then switch agents without replaying full history. Published results: 442,113 to 5,682 estimated tokens across six software tasks (98.71% less, all required targets top-five); a 9,489 to 119 continuation capsule (98.75% less); and a complete cited pack of 1,039 tokens (89.05% less). Apache-2.0, local-first, no hosted account or API key.
On the analytics side, Qarinah 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 Qarinah performed against the three products that launched closest to it on the same day.
Who hunted Qarinah?
Qarinah was hunted by Ajnas N B. 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 Qarinah including community comment highlights and product details, visit the product overview.
Ajnas N B
Hey Product Hunt - I’m Ajnas, the maker of Qarinah. Qarinah gives Codex, Claude Code, Cursor, CLI tools, and compatible MCP clients one project-owned memory. It keeps permitted decisions, outcomes, code relationships, and source evidence beside the repository, then compiles only the compact, cited context needed for the next task. Setup takes one command: npx qarinah setup . --codex --claude --cursor --capture content --allow-query Then use $qarinah in Codex, /qarinah in Claude Code, the project MCP configuration in Cursor, or npx qarinah query "" from any terminal. Latest verified Qarinah 0.1.6 results: - 442,113 to 5,682 estimated tokens across six software tasks - 98.7148% less repeated context and a 77.81:1 ratio, with every required target directly covered in the top five. - 9,489 to 119 estimated tokens for the model-facing continuation capsule - 98.7459% less. - 9,489 to 1,039 estimated tokens for the complete cited continuation pack - 89.0505% less. - 380/380 deterministic file retrievals, with 9/9 unsupported controls rejected. Every selected memory carries its event ID and content hash. Qarinah is local-first, Apache-2.0, and works without a hosted Qarinah account or API key.