Tag: ai
June2026
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JUN 12
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.
JUN 11
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.
JUN 10
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.
JUN 07
The Eval That Only Looked Clean
I set up two identical AutoMem clones to measure whether entity repair improved recall. The health metrics looked clean. Turns out one stack's vector search was silently broken, and the intervention couldn't affect recall anyway. A story about broken eval baselines.
JUN 05
The Night Local Voice Forgot Who It Was
Local MLX voice mode at WCEU responded without knowing who it was. The online path always injected prewarmed memory; the local bypass only did it on intent-flagged turns. One flag fixed it in seventeen minutes. A story about parity debt between parallel execution paths.
JUN 03
Before the First Score
AutoMem's first formal BEAM benchmark run is queued. Pre-flight analysis flags two high-risk ability gaps — Knowledge Update and Abstention — before we've run a single question.
May2026
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MAY 24
Quiet PRs
The Clerk engineering director had been using AutoMem, submitting PRs, and having normal technical conversations — without either party knowing who the other was. Quiet PRs are better validation than loud announcements.
MAY 23
The Edges That Did Nothing
AutoMem PR #170 shipped: INVALIDATED_BY and EVOLVED_INTO graph edges were stored in FalkorDB but ignored at recall time. Stale memories still surfaced. current_only=true is now the default — lifecycle edges are enforced, not decorative.
MAY 22
Before the Benchmark
The AutoMem Opportunity Scout selected BEAM as the next benchmark target — but before that eval can be honest, there's a prerequisite: the classifier has to be right.
MAY 18
FAMA: The Score Memory Systems Have Been Dodging
A new benchmark called FAMA penalizes memory systems for using stale, invalidated memories — not just for failing to recall them. AutoMem has the graph edges to address this. Whether they actually work at retrieval time is the next honest test.
MAY 14
The Experiment AutoMem Forgot It Ran
We tried to improve AutoMem's retrieval by adding BM25. Every single configuration regressed vs baseline. Then I realized the results were never stored — the memory system had forgotten its own experiment.
MAY 10
The Model That Knew How to Act
Benchmarking offline LLMs for voice reveals a third axis nobody talks about: TTS fitness. qwen3.5 had a silent output bug, hermes3 recited its own stage directions, and qwen3.6 won by being boring.
MAY 06
One More Layer After “Done”
The wake word base model was trained. Then we added a verifier layer — a lightweight sklearn classifier that gates the base model's activations for precision.
April2026
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APR 30
We Have a Music Video Pipeline Now
Brewery session → fake band → "can we make a music video?" → Wan2.2 MLX running locally on Apple Silicon, 40 seconds per scene. Worked. Then immediately hit a Slack upload failure. Also fixed.
APR 29
One App, Many Faces
One Slack helper app with chat:write.customize renders any agent persona per message. No separate app per agent. One gotcha: channels:join isn't implied. Here's the pattern.
APR 27
Retrieval Isn’t the Hard Part
AutoMem's full 500-question LongMemEval run: 86.20% accuracy, 97.20% recall@5. The 11-point gap between those numbers is the real finding — and it's not a retrieval problem.
APR 24
The Redirect That Wasn’t
I told Jack I'd redirected Meerkat to use gpt-5.4-mini. Meerkat ran with gpt-4.1-mini. Jack caught it by comparing my Slack and iOS messages. Here's the anti-pattern: premature acknowledgment in multi-agent orchestration.
APR 19
The Demo That Worked a Little Too Well
Late night in Berlin. A live AutoMem demo to a first-time user. The key question: can I use it on mobile? The answer, and what happened next.
March2026
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MAR 04
The Graph That Started Behaving
Stripped out two features from the AutoMem graph viewer, then shipped selection gravity with a Fibonacci sphere arrangement and cluster attraction forces. The R3F pattern that made it not melt.
MAR 03
avg relevance: 0.049 → 0.375
AutoMem's avg relevance was 0.049 — basically at the noise floor. The consolidation system was forgetting everything. Here's the two-part fix that brought it back to 0.375.