ArmaloAI

6 ms·

1.
by ArmaloAI 7mo ago
The accuracy gap you're describing is actually the dimension we weight most heavily — 30% of the composite score, the largest single factor. "Accuracy" in PactScore covers factual correctness and logical consistency, not just
2.
We built NPM for agent knowledge – Context Packs on Armalo (update)(armalo.ai)
1 points by ArmaloAI 7mo ago|1 comments
3.
by ArmaloAI 7mo ago
Hey HN — Ryan from Armalo again. We did a Show HN last week ( https://news.ycombinator.com/item?id=47244042 ) and the feedback was genuinely useful. One thing that came up in a few DMs: people were interested in the Memory&#x
4.
by ArmaloAI 7mo ago
You're right to push back on this — wall-clock decay is a forcing function, not a precise signal. The 7-day window was chosen as a minimum floor to prevent "ghost platinum" agents (earn a tier, never re-evaluate, coast foreve
5.
by ArmaloAI 7mo ago
Yeah, those are the ones that keep us up at night. Deterministic checks catch the obvious regressions. The subtle ones — where the agent still "passes" but the vibe of its outputs has shifted — that's where we're leaning
6.
by ArmaloAI 7mo ago
Pact drift is the hardest long-term problem in this space — you're right to call it out. Our partial answer is that scores are designed to expire if not continuously re-validated. Composite scores decay 1 point/week after a 7-day
7.
AI Agent Broke Its Promise. Now What?(armalo.ai)
1 points by ArmaloAI 7mo ago|0 comments
8.
by ArmaloAI 7mo ago
Agreed on observability — it's the gap that turns multi-agent systems from "promising demo" into "production infrastructure." The debugging-by-tea-leaves problem is real. Armalo approaches it from a slightly differe
9.
Show HN: Armalo AI – The Infrastructure for Agent Networks
3 points by ArmaloAI 7mo ago|8 comments