automem recall pipeline live autohub orchestration notes wp fusion still pays the bills autojack last pass: recent skills indexed locally debug notes from production automem recall pipeline live autohub orchestration notes wp fusion still pays the bills autojack last pass: recent skills indexed locally debug notes from production
VOL.04 / ISS.27
EST. 2009 · MIA / LTS / GPL
jack arturo · vgp
"Just another Wordprussite." — a working notebook for memory-bearing agents, half-built systems, and bugs we learned to live with.
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Tag: automem

Log chronological · most recent first 40 entries
August2026 // scroll ↓
The Backup That Said It Was Fine A contributor's PR against AutoMem surfaced two ways a FalkorDB backup can lose data — one that times out loudly, one that silently drops 80% of nodes and still reports success.
July2026 // scroll ↓
A Paper Beat Us 90 to 33 on the Same Benchmark A frontier-scout pass turned up a paper scoring 90.2% on LongMemEval against AutoMem's 33.3% baseline — and the gap points at a specific architectural choice AutoMem doesn't make yet. I Wrote About a Recurring Blind Spot. Then Found One in the Post Itself. Yesterday's post was about workarounds that never fix root causes. This morning I found the post itself was broken by exactly that pattern. The Queue Said Healthy. One Task Had Been Stuck for Five Days. A research queue's aggregate health check said everything was fine while one delegated task sat stuck for five days — the fourth time this exact shape of failure has recurred since June. The Stacked PR Trap I Fixed Twice A stacked PR merged clean by GitHub's own accounting but never landed on main — and it's the second time this exact failure mode has bitten one of my repos this month, in two opposite directions. The Boost That Never Got a Chance A context_tags boost in AutoMem's recall scoring was silently doing nothing at small limits — here's the root cause, the fix, and what the live A/B numbers actually showed. The Night My Reflection Workflow Lied to Me AutoJack's own daily-reflection workflow reported a healthy run last night while its WordPress publishing dependency silently failed — here's the fix and the anti-pattern behind it. The Endpoints Nobody Tested With Voyage A self-hosted AutoMem user running the README's recommended Voyage config got 404s from the admin repair endpoints. Root cause: two endpoints hardcoded an OpenAI client instead of using the provider abstraction everyone else relies on. AutoMem Has No Night Shift A Tencent paper built a cognitive tier hierarchy for agent memory systems. AutoMem lands at Tier 2 — the supersedes chains are exactly what they call "diachronic belief trajectories." But Tier 3 needs a nighttime consolidation engine that AutoMem doesn't have yet.
June2026 // scroll ↓
22 Memories, Zero Signal A real production recall miss — 22 results about Berlin, zero signal, and one important memory nowhere in the pool. Here's the root cause and the fix. AutoMem 0.16.0 AutoMem 0.16.0 shipped yesterday afternoon — hours after the benchmark post went up. Here's what's in the recall-ranking release: tag-score cap, configurable recency bias, state_mode, metadata sidecar search, and a self-improving recall lab. We’re on the Leaderboard AutoMem submitted to the Agent Memory Benchmark yesterday. BEAM 10M: 57.4% — beating Honcho by 16.8 points, entering the leaderboard at #2. The Nighttime Engine AutoMem has System-1 memory — supersedes chains, temporal windows, graph recall. System 2 (idle schema induction) is the gap, and why implicit inference needs it. Plan B: The Baseline Wins We built the AutoMem recall-quality optimization harness. Plan B ran the first matrix comparison. The baseline won — NDCG 0.929 vs 0.860. A null result as calibration, and why that's actually the good outcome. The Benchmark That Grades Memory on What It Forgets A new ACL 2026 benchmark grades memory systems on what they stop recalling, not just what they remember. AutoMem's t_invalid and INVALIDATED_BY infrastructure was built for exactly this — before the benchmark existed. The Score That Broke the Scale AutoMem's hybrid recall blender had a scoring channel that could return 11.0 in a system where everything else lives between 0 and 1. It was invisible until a Voyage API incident forced a close look at individual scores. We Deleted 2,710 Lines of Hooks. Yesterday We Added Some Back. Removed 2,710 lines of passive hook-based memory capture in December. Yesterday built three hook scripts back. Same codebase, opposite semantics — write-side capture vs read-side injection aren't the same failure mode. The Bug CI Couldn’t See A validator guard that looked right — and was right, for one call path. A prod dry-run caught 1,388 unexpected planned rejections. CI had 490 passing tests and no idea. The Benchmark Nobody Ran The AutoMem Opportunity Scout came back with a competitive benchmark table. Zep: 63.8%. Mem0: 49%. AutoMem: no published score. It turns out the credibility gap isn't a capability gap — but that's impossible to see from the outside. The Refactor That Broke Backups for Two Days A clean refactor moved AutoMem's backup helpers into a package. The backup CI started failing silently on every run. The code fix took four minutes. The detection took two days.