What people actually say about YourMemory
26 mentions across 4 sources · 49% positive · researched Jul 31, 2026
Hacker News, YouTube, Product Hunt, GitHub
What users praise
- • Biologically-inspired Ebbinghaus decay cuts token waste by 84% over 30 sessions
- • 89.4% Recall@5 on LongMemEval, +16pp over Mem0 on LoCoMo
- • Local, no API key, privacy-first: data never leaves your machine
What frustrates them
- • Forgetting curve may drop load-bearing architectural decisions
- • Requires manual audit prompt injection per chat, not fully automatic
- • Limited integrations beyond MCP; lacks auto-setup for Opencode.ai
This is a summary. The full report adds every quote we found, a per-source breakdown, recurring themes, hidden costs and the learning curve — run a free scan below, or see the full YourMemory review.
What comes up again and again about YourMemory
Recurring themes across everything we collected, with where each one showed up.
Ebbinghaus forgetting curve is a clever but risky approach to agent memory
mixed · seen on Hacker News, Product Hunt
Privacy-first local execution is a major selling point
praised · seen on Hacker News, Product Hunt
Token cost reduction is a key economic benefit
praised · seen on Hacker News, Product Hunt
Concern about forgetting critical long-term architectural context
criticised · seen on Product Hunt
Integration ease and auto-setup gaps for specific tools like Opencode
mixed · seen on GitHub, Hacker News
How hard is YourMemory to learn?
Users describe it as intermediate · typically 5 minutes to get going
Where people get stuck
- • Manual audit prompt injection for each chat tool
- • Understanding how to tune decay parameters for your use case
- • Setting up MCP clients if needed
Who YourMemory actually suits
Works well for
- • Developers building personal AI assistants that need persistent memory without cloud uploads
- • Teams using agentic workflows in code editors (Cursor, Copilot) who struggle with token bloat
- • Indie developers and researchers experimenting with biologically-inspired memory models
- • Users who want full visibility and control over what their AI remembers and forgets
Not the right fit for
- • Enterprise teams requiring guaranteed retention of all architectural decisions
- • Non-technical users who want a plug-and-play setup without manual prompt injection
- • Teams relying on ecosystem integrations beyond MCP (e.g., Slack, Zapier) without custom work
What people are discussing right now
Discussion volume is medium and trending up
- Ebbinghaus forgetting curve and decay logic
- Token cost reduction and context window bloat
- Privacy and local-first memory
- Integration with coding agents (Opencode, Cursor)
- Benchmarks vs Mem0 and LongMemEval
What people really think about YourMemory
A real-time sweep of the open web — social media, forums, review sites, video reviews and live community discussions — distilled into one honest verdict with the actual mentions behind it.
What's inside your YourMemory report
Everything you need to decide — distilled from real, current user opinion.
Live mentions
The actual posts, reviews & complaints about YourMemory — with links and dates.
Honest verdict
A straight answer on whether it lives up to the hype — and who it’s really for.
Praise & gripes
What users genuinely love and the frustrations that keep coming up.
Real quotes
Representative voices from real users, not marketing copy.
Recurring themes
The patterns across hundreds of opinions, surfaced at a glance.
Red flags
Hidden costs and dealbreakers people only discover after signing up.
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Compare YourMemory head-to-head
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YourMemory — questions buyers ask
What do people complain about most with YourMemory?
The complaints that recur most often are forgetting curve may drop load-bearing architectural decisions, requires manual audit prompt injection per chat, not fully automatic and limited integrations beyond MCP, lacks auto-setup for Opencode.ai. Drawn from 26 mentions across 4 sources.
What do users like about YourMemory?
Users consistently praise biologically-inspired Ebbinghaus decay cuts token waste by 84% over 30 sessions, 89.4% Recall@5 on LongMemEval, +16pp over Mem0 on LoCoMo and local, no API key, privacy-first: data never leaves your machine.
Is YourMemory hard to learn?
Users describe it as intermediate; most people are up and running in 5 minutes; the usual sticking points are manual audit prompt injection for each chat tool and understanding how to tune decay parameters for your use case.
Who should not use YourMemory?
Based on what users report, it is a poor fit for enterprise teams requiring guaranteed retention of all architectural decisions, non-technical users who want a plug-and-play setup without manual prompt injection and teams relying on ecosystem integrations beyond MCP (e.g., Slack, Zapier) without custom work.
What are people saying about YourMemory right now?
Discussion volume is medium and trending up. Current topics: ebbinghaus forgetting curve and decay logic, token cost reduction and context window bloat and privacy and local-first memory.
How current is this report?
Each scan runs live the moment you click — it reflects what people are saying now, and every report lists the dated mentions behind it.
Can I download it?
Yes — download the full report as a polished, shareable PDF.