Memory Ledger
A browser layer in front of popular AI companions that shows users exactly what has been remembered about them, lets them edit or delete individual memories, and flags when an answer relies on stale or contradicted information.
Power users of AI companions for journaling, coaching, therapy-adjacent support, or long-running projects who have been burned by memory failures
- Visual "memory card" inventory of every fact the AI has stored, with one-click edit or delete
- Contradiction detector that highlights when a current answer depends on a memory flagged as stale or corrected
- Confidence indicators on each memory ("last confirmed", "conflicts with another memory")
- Cross-session summary view so the user can audit what the AI is about to draw on
New research on lifecycle memory operations shows that long-horizon AI memory fails in ways final-answer accuracy hides, and users have been quietly suffering these failures for years.
Documented ChatGPT memory collapse (Feb 5, 2025) wiped years of user data, 300+ complaint threads on r/ChatGPTPro, MIT study cited at 83% memory failure rate, and users in therapy contexts reported major setbacks from memory loss.Why OpenAI Won't Talk About ChatGPT's Silent Memory Crisis ↗ChatGPT 5.2 feels like a downgrade, and users are fed up ↗
Most adjacent tools (Mem0, Zep, Letta, Pieces) are developer-facing agent memory infrastructure rather than user-facing transparency/ledger layers; ChatGPT has a basic memory viewer but no stale/contradiction flagging, leaving the browser-layer transparency angle relatively under-served.8 AI Agent Memory Tools & Mem0 Alternatives (2026) ↗Best AI Companion Apps With Long-Term Memory (2026) ↗
Direct pricing data for memory-management browser extensions was thin in search; ChatGPT Plus tier (~$20/mo) shows users already pay for AI, the source article suggests 'a paid memory tier could redefine digital ownership,' but conversion of extensions in this niche is unproven — mixed evidence, hold at 5.Why OpenAI Won't Talk About ChatGPT's Silent Memory Crisis ↗
Memory failures are structural and trending worse (post-Feb 2025 collapse, Oct 2025 emergency updates only cut 'memory full' errors ~30%, GPT-5.2 complaints cite broken memory in Dec 2025); MemOps arXiv paper formalizes this as a long-horizon research gap, suggesting the pain persists even as providers iterate.MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations ↗ChatGPT 5.2 feels like a downgrade, and users are fed up ↗
A browser extension that hooks ChatGPT/Claude web UIs is buildable but non-trivial: each provider uses different DOM/UI, memory APIs are not externally exposed (requires DOM scraping or local inference on chat history), and stale/contradiction detection needs an additional LLM pass — medium effort, not trivial.MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations ↗