Edition of Sunday 25 October 2026

Agentsh – A Decentralized, Scalable Multiagent Harness

Comments on “Agentsh – A Decentralized, Scalable Multiagent Harness”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

Microsoft open-sourced Agensh, a decentralized multi-agent harness that scales to 1,024 agents without a central orchestrator, coordinating work through Gitea, Mattermost, and shared context. On ProgramBench's five hardest tasks, mean test-pass rate rose from 19.31% with one agent to 28.78% with 128 agents, per the authors' preprint.

Read the original at github.com. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 70 of 93 with a score of 0.57. The panel rated it highest on new information (0.94) and substantiated (0.77), lowest on audience breadth (0.51). The judges disagreed most on substantiated (spread 0.52), so the story is marked contested.

Every answer behind this is in the table under Score.

Score

0.57total under rubric v2.2Contestedjudges differ by 0.43 on significance, 0.52 on substantiated

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.57
  • Reader interest0.65
  • Audience breadth0.51
  • Practical relevance0.63
  • Substantiated0.77
  • Technical depth0.70
  • New information0.94
  • Counts against: Promotional0.12
  • Counts against: Overclaim0.34

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
Significance0.580.350.780.570.43 , above the contested threshold+0.24+0.137
Reader interest0.560.500.900.650.40+0.26+0.170
Audience breadth0.410.400.720.510.32+0.13+0.066
Practical relevance0.650.450.780.630.33+0.22+0.138
Substantiated0.970.450.880.770.52 , above the contested threshold+0.05+0.038
Technical depth0.730.550.820.700.27+0.05+0.035
New information0.960.900.970.940.07+0.05+0.047
Promotional0.090.200.080.120.12−0.19−0.023
Overclaim0.250.450.320.340.20−0.11−0.037
Sum of contributions+0.571
Claim-check penalty0.000
Total, as published0.571

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #70 on Rubric, 25 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-25/70/"><img src="https://rubric.hrih.si/badge/2026-10-25/70.svg" alt="Ranked #70 on Rubric, 25 Oct 2026" width="245" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 6 pts, front page

Discussion on Hacker News

Recorded for context only, checked 25 Oct 2026, 05:46 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. This one was scored under rubric v2.2; How ranking works describes the current rubric, v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “Agentsh – A Decentralized, Scalable Multiagent Harness”

More on Rubric

From the last 7 editions, chosen by shared topic, score and date.

  1. Score 0.79

    Zlib 1.4