Cut token waste by 84% with self pruning MCP memory
Most agents are either amnesiacs or "hoarders" that choke on stale context and break their own reasoning. YourMemory brings biological logic to the workflow. Using the Ebbinghaus curve, it prunes the junk so only the important stuff sticks. -84% Token Waste: Leaner context, sharper reasoning. 52% Recall: (LoCoMo benchmarked). v1.3.0 Graph Engine: Finds what you forgot to ask for. 100% Local.
Hey everyone, I’m Sachit. I built YourMemory because I hit a wall with my own coding workflow. My agents were brilliant, but their memory was a mess. They either forgot my architectural 'gotchas' by lunch, or they got so bogged down in stale bug fixes from last week that they started hallucinating.
I realized we don't need a digital filing cabinet for our agents, we need a filter. YourMemory treats context as a living thing. It uses 'biological decay' to let transient noise fade away while reinforcing the patterns and facts you actually use.
For the skeptics: I’ve provided the full benchmarking scripts and the LoCoMo dataset on GitHub. We’re hitting 52% Recall@5, which nearly doubles the industry average. Why? Because our v1.3.0 Graph Engine doesn't just do keyword matching, it pulls in related architectural 'neighbors' that standard vector search completely misses.
It’s 100% local first (DuckDB), zero infra, and it’s finally stopped me from repeating myself to my terminal.
I’d love to hear how you’re all handling context amnesia right now. Tell me what your agent keeps forgetting that drives you the most crazy!"
About YourMemory on Product Hunt
“Cut token waste by 84% with self pruning MCP memory”
YourMemory launched on Product Hunt on April 21st, 2026 and earned 89 upvotes and 7 comments, placing #20 on the daily leaderboard. Most agents are either amnesiacs or "hoarders" that choke on stale context and break their own reasoning. YourMemory brings biological logic to the workflow. Using the Ebbinghaus curve, it prunes the junk so only the important stuff sticks. -84% Token Waste: Leaner context, sharper reasoning. 52% Recall: (LoCoMo benchmarked). v1.3.0 Graph Engine: Finds what you forgot to ask for. 100% Local.
On the analytics side, YourMemory competes within Open Source, Storage, Artificial Intelligence and GitHub — topics that collectively have 584k followers on Product Hunt. The dashboard above tracks how YourMemory performed against the three products that launched closest to it on the same day.
Who hunted YourMemory?
YourMemory was hunted by sachit mishra. 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 YourMemory including community comment highlights and product details, visit the product overview.
sachit mishra
Hey everyone, I’m Sachit.
I built YourMemory because I hit a wall with my own coding workflow. My agents were brilliant, but their memory was a mess. They either forgot my architectural 'gotchas' by lunch, or they got so bogged down in stale bug fixes from last week that they started hallucinating.
I realized we don't need a digital filing cabinet for our agents, we need a filter.
YourMemory treats context as a living thing. It uses 'biological decay' to let transient noise fade away while reinforcing the patterns and facts you actually use.
For the skeptics:
I’ve provided the full benchmarking scripts and the LoCoMo dataset on GitHub. We’re hitting 52% Recall@5, which nearly doubles the industry average. Why? Because our v1.3.0 Graph Engine doesn't just do keyword matching, it pulls in related architectural 'neighbors' that standard vector search completely misses.
It’s 100% local first (DuckDB), zero infra, and it’s finally stopped me from repeating myself to my terminal.
I’d love to hear how you’re all handling context amnesia right now. Tell me what your agent keeps forgetting that drives you the most crazy!"