Maximem Synap
The fastest, most accurate memory layer for AI agents
Details
- External ID
- 1245392
- Source
- PH
- Company
- —
- Product
- Maximem Synap
- Website domain
- producthunt.com
- Launched
- Sept. 24, 2026
- Cohort
- —
- Upvotes
- 134
- Upvotes percentile
- 0.9903517211887962
- Tags
- Developer Tools, Artificial Intelligence, GitHub, SDK
- Fetched at
- Sept. 25, 2026, 1:01 a.m.
- Updated at
- Sept. 25, 2026, 1:01 a.m.
Description
Maximem Synap is memory and context infrastructure for AI agents, so every conversation does not start from zero. It is the fastest and most accurate memory system on public benchmarks, 92% on LongMemEval and 93.2% on Locomo, with sub-15ms P75 recall. It handles entity resolution, temporal reasoning, and multi-level scoping automatically, no vector database or ranker to tune. Native across 22 frameworks including LangChain, LangGraph, and the Claude Agent SDK. Free tier, no credit card required.
Enrichment
- Theme
- autonomous agent research and evaluation
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- memory layer for ai agents
- Manually corrected
- False
Could you build this?
No Achieving sub-15ms P75 recall on massive benchmarks like LongMemEval and Locomo requires custom graph-vector data structures, dedicated low-latency indexing, and specialized retrieval research.
What it would actually take: Requires low-level systems programming (C++/Rust) building a custom memory graph engine that unifies vector similarity search, temporal knowledge graphs, and entity resolution. It involves distributed memory architectures, custom embedding caching, optimized graph traversals, and benchmark validation pipelines managed by database and search engineers.
Competitors
Other products that read as similar to this one — 154 launches clear the similarity bar, closest 8 shown.
Attention rank: #3 of 155 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
- MnemoBrain · github · 2026-09-12 · 24 upvotes · similarity 0.48
- Syne · hn · 2026-02-20 · 7 upvotes · similarity 0.48
- ClawMem · hn · 2026-03-22 · 5 upvotes · similarity 0.48
- Memori · ph · 2026-05-28 · 168 upvotes · similarity 0.47
- Valori · ph · 2026-09-22 · 64 upvotes · similarity 0.46
- LinearMemory: AI Memory Explorer · ph · 2026-09-06 · 2 upvotes · similarity 0.45
- Hebbs · hn · 2026-03-09 · 6 upvotes · similarity 0.43
- retain-ai · github · 2026-09-11 · 8 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.