#agentoptimization
Live, measured metrics for the hashtag #agentoptimization from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #agentoptimization
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-17 18:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-17 18:00 UTCNo related tags with measured usage found for #agentoptimization.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-17 18:00 UTCEverything below is measured over the latest 4 public posts (spanning ~2405 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0
Top of the latest posts
Lakshya A Agrawal (@LakshyAAAgrawal) ai.engineer World’s Fair에서 자기개선 에이전트를 주제로 한 발표 녹화본을 공개했다. GEPA, optimize_anything, gskill, Fast-Slow Training 등을 다루며 에이전트의 반성·최적화 기반 성능 개선 방법을 소개한다. https://x.com/LakshyAAAgrawal/status/21039848349097207
Merge News (@mergenewsapp) Meta가 AI 코딩 에이전트용 Muse Spark 1.3을 출시했다고 발표했다. 토큰 사용량을 25%, 도구 호출을 20% 줄여 에이전트의 신뢰성과 비용 효율을 높였다는 내용이다. 코드 에이전트 운영에서 중요한 추론 비용, 툴 호출 횟수, 실패율 최적화에 초점을 맞춘 업데이트다. https://x.com/mergenewsapp/status/2095974260304957782 #
fly51fly (@fly51fly) POSTECH·KAIST 등이 제안한 AutoSaddler 연구는 에이전트 실행 트레이스를 활용해 하네스(harness)를 자동 최적화하고, 업데이트 이후에도 성능이 유지되는 내구성 있는 개선을 목표로 한다. 에이전트 시스템의 실행 로그를 기반으로 프롬프트·도구 사용·실행 환경을 지속 개선하는 접근으로 볼 수 있다. https://x.com/fly51fly/status/20923581033
#agentoptimization across platforms
every network with a public tag surfaceFollow #agentoptimization straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/agentoptimization