Memori
Persistent memory from agent trace, not just conversation
Details
- External ID
- 1141931
- Source
- PH
- Company
- —
- Product
- Memori - Baby Tracker & Album
- Website domain
- producthunt.com
- Launched
- May 28, 2026
- Cohort
- —
- Upvotes
- 168
- Upvotes percentile
- 0.14903846153846154
- Tags
- Open Source, Developer Tools, Artificial Intelligence
- Fetched at
- Sept. 7, 2026, 1:23 a.m.
- Updated at
- Sept. 7, 2026, 1:23 a.m.
Description
Memori launched its new agent-native memory infrastructure, enabling agents to create structured, long-term memory directly from agent trace — including execution paths, tool results, workflow steps, outcomes, and decision-making logic. This allows memory to also be generated from what an agent actually does. Benchmark results: 81.95% accuracy on LoCoMo using only 1,294 tokens per query, roughly 5% of full-context cost, saving users 95%+ on inference spend. 15K GitHub stars, 200000+ downloads
Enrichment
- Theme
- ai agent infrastructure and tooling
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- persistent memory system for ai agents
- Manually corrected
- False
Could you build this?
Partial While storing JSON execution logs in a vector or graph database is easy, automatically synthesizing structured long-term memory, causal logic, and deduplicated knowledge graphs from arbitrary execution traces requires non-trivial algorithmic pipelines.
What it would actually take: Requires an ingestion pipeline for OpenTelemetry-style agent traces, an automated parsing/summarization worker that identifies decision forks and outcomes, and an entity-relationship graph database (like Neo4j or Memgraph) paired with vector search. Designing deterministic distillation pipelines that avoid memory corruption or hallucination loops across thousands of agent runs requires deep LLM systems expertise.
Competitors
Other products that read as similar to this one — 249 launches clear the similarity bar, closest 8 shown.
Attention rank: #202 of 250 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 203 days after the earliest competitor.
- Unify memory across agents and improve context rot, written in Rust · hn · 2026-04-05 · 5 upvotes · similarity 0.58
- Remembrane · hn · 2026-08-07 · 13 upvotes · similarity 0.57
- Memograph CLI- A tool to diagnose 'memory failures' in AI agents · hn · 2026-02-25 · 6 upvotes · similarity 0.56
- Memorable: graph procedural memory for AI agents. Stop re-teaching your agents! · yc · 2026-09-17 · 11 upvotes · similarity 0.54
- Agentmemory · ph · 2026-05-16 · 322 upvotes · similarity 0.54
- MouseBase · ph · 2026-09-08 · 1 upvotes · similarity 0.53
- TraceMem · hn · 2026-01-12 · 15 upvotes · similarity 0.53
- Kepos · ph · 2026-09-17 · 8 upvotes · similarity 0.53
Other launches for this product
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.