#contextretrieval
Live, measured metrics for the hashtag #contextretrieval from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #contextretrieval
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-07 19:04 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-07 19:04 UTCNo related tags with measured usage found for #contextretrieval.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-07 19:04 UTCEverything below is measured over the latest 3 public posts (spanning ~8920 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Top of the latest posts
MemoryTax는 419턴·152문항의 LoCoMo 대화 하나에서 전체 컨텍스트, BM25, Mem0, Zep와 Pi·Codex·Claude Code 에이전트를 비교했다. GPT-4o-mini에서는 Mem0가 전체 컨텍스트보다 나았지만, 메모리 구축 비용만으로도 전체 컨텍스트 1회 실행보다 컸다. Claude Opus 5.5와 Pi 조합은 원본 기록을 도구로 탐색해 전체 컨텍스트 비용의 절반 미만으로 99% 정확도를 기록했다
Mikeysee (@mikeysee) 과거 Codex 대화 스레드가 시간이 지날수록 더 큰 업무 맥락 자산이 되며, 에이전트가 이를 검색·활용해 과거 컨텍스트를 복원하는 기능이 현재 작업 방식에 중요하다는 실무 관찰이다. 에이전트 메모리와 개인 지식 검색의 필요성을 시사한다. https://x.com/mikeysee/status/2091486550983078027 #codex #aiagents #agentmemory #cont
SWE-Grep and SWE-Grep-Mini: RL for Fast Multi-Turn Context Retrieval https://cognition.ai/blog/swe-grep #HackerNews #SWEGrep #SWEGrepMini #ReinforcementLearning #ContextRetrieval #AItech
#contextretrieval across platforms
every network with a public tag surfaceFollow #contextretrieval 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/contextretrieval