#contextengineering
Live, measured metrics for the hashtag #contextengineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #contextengineering
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 2026-09-26 16:30 UTC3 uses by 3 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 2026-09-26 16:30 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-26 16:30 UTCEverything below is measured over the latest 40 public posts (spanning ~1483 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (33) · German (5) · Russian (1) · French (1)
Avg boosts / post: 0.8
Top of the latest posts
I keep coming back to one idea: Every repository should carry its own memory. Git shows what changed, but not the decisions that never became code. A week later, a fresh agent can have the same bad idea again. Keep the Why puts that reasoni
Anthropic just introduced Claude Code Projects - with persistent shared memory across coding sessions and worker threads. I think that makes another question increasingly important: - Where should project memory actually live? - In a conver
I've found related research around demand-paged LLM context, adaptive memory and self-improving agent harnesses, but I haven't yet found anyone applying an autoresearch-style optimisation loop specifically to context management like this. I
#contextengineering across platforms
every network with a public tag surfaceFollow #contextengineering 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/contextengineering