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).
Engram gives AI agents persistent memory that actually works. Instead of dumping entire conversation histories into context (expensive) or maintaining files by hand (tedious), Engram automatically extracts, connects, and surfaces the right memories at recall time. Scores 79.6% on LOCOMO vs Mem0's 66.9%. Uses 30x fewer tokens than full context. Two commands to set up. Works with Claude Code, Cursor, and any MCP client. Open source, TypeScript, zero dependencies.
Engram was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #46 on the daily leaderboard. Engram gives AI agents persistent memory that actually works. Instead of dumping entire conversation histories into context (expensive) or maintaining files by hand (tedious), Engram automatically extracts, connects, and surfaces the right memories at recall time. Scores 79.6% on LOCOMO vs Mem0's 66.9%. Uses 30x fewer tokens than full context. Two commands to set up. Works with Claude Code, Cursor, and any MCP client. Open source, TypeScript, zero dependencies.
Who hunted Engram?
Engram was hunted by Thomas Stockham. 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.
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Thomas Stockham