LinearMemory: AI Memory Explorer
Human-readable, auditable memory for AI agents.
Details
- External ID
- 1241966
- Source
- PH
- Company
- —
- Product
- LinearMemory: AI Memory Explorer
- Website domain
- producthunt.com
- Launched
- Sept. 6, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- SaaS, Software Engineering, GitHub
- Fetched at
- Sept. 6, 2026, 6:35 p.m.
- Updated at
- Sept. 6, 2026, 6:35 p.m.
Description
LinearMemory turns AI agent executions into visual, auditable memory. Follow context, searches, recalled knowledge, decisions, tools, errors, reflections, and outcomes through timelines and an interactive 3D graph. It supports semantic search, validated knowledge, evidence-based relationships, and shared memory across agents. Built with MCP, PostgreSQL, Docker, and local embeddings, without storing private chain-of-thought.
Enrichment
- Theme
- developer tools for ai agents
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- auditable memory system for ai agents
- Manually corrected
- False
Could you build this?
Partial Visualizing agent logs in a 3D graph is manageable with three.js, but capturing and reconciling complex agent execution states, semantic memory graphs, and evidence tracking requires advanced agentic instrumentation architecture.
What it would actually take: Requires an observability SDK (tracing LangChain/LlamaIndex or raw LLM calls) sending structured telemetry into an event pipeline like Kafka/ClickHouse, combined with a graph database (Neo4j or vector graph index) and a frontend using Three.js/ForceGraph. The difficult part is building an automatic ontological extractor that structures agent decisions, context, and error states reliably in real time.
Competitors
Other products that read as similar to this one — 241 launches clear the similarity bar, closest 8 shown.
Attention rank: #66 of 242 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 311 days after the earliest competitor.
- Memweave CLI · hn · 2026-04-25 · 6 upvotes · similarity 0.55
- YourMemory, persistent memory layer with temporal reasoning for agents · hn · 2026-05-25 · 9 upvotes · similarity 0.54
- Memorable: graph procedural memory for AI agents. Stop re-teaching your agents! · yc · 2026-09-17 · 11 upvotes · similarity 0.53
- RecallOs-Ai · github · 2026-09-15 · 6 upvotes · similarity 0.52
- Remembrane · hn · 2026-08-07 · 13 upvotes · similarity 0.51
- A file-based agent memory framework that works like skill · hn · 2026-01-06 · 11 upvotes · similarity 0.51
- Hebbs · hn · 2026-03-09 · 6 upvotes · similarity 0.50
- Hermes-agentmemory, pull-model episodic memory with real deletes · hn · 2026-05-16 · 6 upvotes · similarity 0.50
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.