Fetching from the wire…
01
02
03
04
05
06
07
08
Agents2026-06-15 · source-backed
Engram, a bi-temporal memory engine, scored 83.6% versus 73.2% for a full-context baseline on the 500-question LongMemEval_S benchmark, a statistically significant +10.4 points, while using ~9.6k tokens instead of 79k (arXiv 2606.09900). Roughly 8x fewer tokens and more accurate. That kills the "tradeoff" framing: aggressive retrieval and filtering is both cheaper and better than dumping whole histories in. Code, a reproducible harness, and per-question logs are released CC-BY-4.0. If you're building agent memory, this is the result to internalize.
Each link below shares sources, entities, or timing with this story.
arXiv 2607.25886 isolates data-centric research capability by fixing the entire post-training stack so only the agent's data strategy varies. Four frontier agents across six benchmarks. Among searches that continued past the best observed score, 78.26% ended on a lower-scoring...
Numbers first, because they're the whole argument. On AppWorld's 168 tasks with DeepSeek-V3.2: ALTK-Evolve hit 89.3% goal completion at 263K tokens per task. ACE hit 80.4% at 634K (IBM Research on HF). Nine points better, 41% of the tokens. On the weaker gpt-oss-120b: 56.0% at...
Four stories about things going wrong. Here's one about something working, with actual numbers attached. In an August 7 disclosure covered by TechCrunch, Airbnb said AI now writes 60% of its new code, that concept-to-launch time on key initiatives has dropped by as much as 60%...
Everyone is building summarize-and-evict context management. Compaction, rolling summaries, hierarchical memory, vector-store recall. The entire agent-memory category assumes the answer is to throw away history intelligently. PRO-LONG (arXiv 2607.20064) keeps the complete stru...
Skill-α (arXiv 2608.01678) reframes skill generation as RL over sequential edits, decomposing skill construction into individually evaluable changes. The novel signal is a rollback reward that scores each modification by comparing downstream task execution using the original s...
The benchmark has a Controller model receive a structured summary after each coding round and tell a separate fixed Worker agent what to do, verify, or when to stop, which isolates loop guidance from coding ability. Across Controllers the paired reduction in estimated inferenc...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.