YourMemory, agentic memory is a pruning problem, not a hoarding problem
Details
- External ID
- 48433327
- Source
- HN
- Company
- —
- Product
- YourMemory, agentic memory is a pruning problem, not a hoarding problem
- Website domain
- vercel.app
- Launched
- June 7, 2026
- Cohort
- —
- Upvotes
- 19
- Upvotes percentile
- 0.7397540983606558
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data.In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens.In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall rate, importance, category, to which memory chain it's connected to etc. These parameters are fine tuned so that we can cater to both episodic memory and semantic memory.Our memory layer keeps the size flat in this manner. You can draw correlation of this infrastructure with how Human brain store and prune memory.The enterprise model is something very exciting as we can extract relevant memories from each user, agent and sub agent in this layer and that can be used by any one in the org, ensuring memory optimization at an enterprise level.
Enrichment
- Theme
- lightweight and on-device AI runtimes
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- agentic memory management through pruning
- Manually corrected
- False
Could you build this?
Partial Building an MCP server wrapper is straightforward, but designing biologically inspired memory decay, recall mathematical algorithms, and token-pruning heuristics that maintain high recall requires novel algorithm development.
What it would actually take: The architecture requires an MCP server linked to an embedded vector and graph database (e.g., SQLite with sqlite-vec) governed by custom retention/decay algorithms (like Ebbinghaus forgetting curves with dynamic edge weights). The hard part is tuning pruning thresholds and contextual deduplication so vital facts aren't lost while achieving 80%+ token reduction across multi-session dialogues.
Discussion
3 comments analyzed.
Competitors
Other products that read as similar to this one — 138 launches clear the similarity bar, closest 8 shown.
Attention rank: #39 of 139 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 213 days after the earliest competitor.
- YourMemory, persistent memory layer with temporal reasoning for agents · hn · 2026-05-25 · 9 upvotes · similarity 0.62
- Remembrane · hn · 2026-08-07 · 13 upvotes · similarity 0.58
- Unify memory across agents and improve context rot, written in Rust · hn · 2026-04-05 · 5 upvotes · similarity 0.56
- Agentmemory · ph · 2026-05-16 · 322 upvotes · similarity 0.55
- AI memory with biological decay (52% recall) · hn · 2026-04-26 · 98 upvotes · similarity 0.54
- Cortexa · hn · 2026-03-03 · 10 upvotes · similarity 0.51
- A file-based agent memory framework that works like skill · hn · 2026-01-06 · 11 upvotes · similarity 0.49
- Slowave · hn · 2026-09-14 · 5 upvotes · similarity 0.49
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.