Memograph CLI- A tool to diagnose 'memory failures' in AI agents
Details
- External ID
- 47153242
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Feb. 25, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.28099730458221023
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi HN,I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly.Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why.I built Memograph CLI as a debugging tool to analyze conversation transcripts and show:- what the agent forgot- where continuity broke- contradictions and repeated context- estimated token waste due to re-promptingIt works locally and supports plain text or JSON transcripts.Example:$ memographOutput:Cognitive Drift Score: 41/100Forgotten preferences: 3Token waste: 29%Trust-breaking contradictions: 1The goal isn’t to replace your agent framework, but to give developers visibility into memory failures.Repo: https://github.com/memographAI/Memograph-CLIWould love feedback, especially from people building agents in production.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- diagnostic tool for ai agent memory issues
- Manually corrected
- False
Could you build this?
Yes Memograph CLI is a diagnostic tool that inspects agent memory/context logs, analyzes token windows, and flags inconsistencies or drop-offs using straightforward CLI scripts.
Discussion
5 comments analyzed.
Concerns raised: Not scientifically grounded or theoretically rigorous, Lack of explainability for the Cognitive Drift Score, Unclear what the score actually means or if it's deterministic
Feature requests: Improve explainability of the scoring methodology
Competitors
Other products that read as similar to this one — 293 launches clear the similarity bar, closest 8 shown.
Attention rank: #206 of 294 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 112 days after the earliest competitor.
- Memorable: graph procedural memory for AI agents. Stop re-teaching your agents! · yc · 2026-09-17 · 11 upvotes · similarity 0.58
- Memori · ph · 2026-05-28 · 168 upvotes · similarity 0.56
- Cortexa · hn · 2026-03-03 · 10 upvotes · similarity 0.53
- Unify memory across agents and improve context rot, written in Rust · hn · 2026-04-05 · 5 upvotes · similarity 0.50
- TraceMem · hn · 2026-01-12 · 15 upvotes · similarity 0.50
- friday · github · 2026-09-16 · 47 upvotes · similarity 0.50
- AI memory with biological decay (52% recall) · hn · 2026-04-26 · 98 upvotes · similarity 0.48
- ctx · hn · 2026-07-02 · 65 upvotes · similarity 0.46
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.