multi-agent technique

Daily cross-source mention tracking for multi-agent: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

8 mentions, last 7 days 21 mentions, all stored days tracked since 2026-06-19
Daily total mentions · 2026-06-19 to 2026-07-10
0362026-06-19: 1 mention2026-06-20: 1 mention2026-06-21: 1 mention2026-06-22: 1 mention2026-06-24: 1 mention2026-06-25: 1 mention2026-06-26: 1 mention2026-06-27: 1 mention2026-06-28: 1 mention2026-06-29: 2 mentions2026-07-01: 2 mentions2026-07-08: 1 mention2026-07-09: 1 mention2026-07-10: 6 mentions06-1906-2707-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 3 3
Hacker News stories 0 0
Research papers 3 16
GitHub trending repos 2 2
Receipts · current items mentioning multi-agent
paper Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety 2026-07-10 · external ↗ repo xbtlin/ai-berkshire 2026-07-10 · trending today paper GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks 2026-07-08 · external ↗ repo 777genius/agent-teams-ai 2026-07-10 · trending today
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains multi-agent or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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