Telegram RegisterThe public register of Telegram
Telegram profile photo for OpenClaw Lab - Все об OpenClaw

Channel

OpenClaw Lab - Все об OpenClaw

@openclaw_lab

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

3,412subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003697972786
TypeChannel
Username@openclaw_lab
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/openclaw_lab

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

3,4013,4123,406.56 August 2026 — 3,411 subscribers6 August 2026 — 3,411 subscribers6 August 2026 — 3,412 subscribers9 August 2026 — 3,409 subscribers15 August 2026 — 3,406 subscribers18 August 2026 — 3,403 subscribers21 August 2026 — 3,401 subscribers25 August 2026 — 3,409 subscribers27 August 2026 — 3,408 subscribers30 August 2026 — 3,404 subscribers2 September 2026 — 3,403 subscribers12 September 2026 — 3,407 subscribers16 September 2026 — 3,412 subscribers6 August 202616 September 2026
13 measurements spanning 41 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,399–3,414 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 06:413,412+5
12 Sept 2026, 09:373,407+4
2 Sept 2026, 13:473,403-1
30 Aug 2026, 20:153,404-4
27 Aug 2026, 21:383,408-1
25 Aug 2026, 02:243,409+8
21 Aug 2026, 06:553,401-2
18 Aug 2026, 01:513,403-3
15 Aug 2026, 00:073,406-3
9 Aug 2026, 03:543,409-3
6 Aug 2026, 12:103,412+1
6 Aug 2026, 04:453,411no change
6 Aug 2026, 01:003,411first reading

Engagement

21 posts held, back to 29 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 21 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
16s
Average length
16s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

197 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 25.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5025.4%
4120.8%
🔥3718.8%
😁3015.2%
custom 53662193059837115322412.2%
🤣63.05%
🫡42.03%
custom 536863527233235217321.02%
10.508%
💩10.508%
🤮10.508%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 21 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 207 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 29 June 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 21 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @openclaw_lab. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 21 most recent posts we hold for this entry, published 29 June 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 08:52 UTC626 views6 reactionsread 7 August 2026
Forwarded from @agents_lab

Posted without readable text

3custom 53686352723323521732👍1

3 Aug 2026, 10:50 UTC960 views8 reactionsread 7 August 2026
Forwarded from @agents_lab

Posted without readable text

🔥43👍1

31 Jul 2026, 09:19 UTC≈1,680 views19 reactionsread 7 August 2026

OpenClaw готовится к LTS 🦞 После проблемных релизов весной команда обещала заняться стабильностью. Теперь появился новый канал extended-stable с ежемесячными релизами и переносом проверенных исправлений безопасности и надёжности из свежих версий. Первый релиз 2026.6.33 основан на 2026.6.11. Каждая ветка будет поддерживаться до выхода следующей, но не меньше месяца. Это ещё не полноценный LTS, зато уже подходящий ва

12🔥6👍1

29 Jul 2026, 16:42 UTC≈1,550 views11 reactionsread 7 August 2026
Forwarded from @agents_lab

Как превратить одного AI-агента в исследовательскую команду 🔄 Обычный AI-агент работает в пределах одной сессии: получает задачу, вызывает инструменты и пишет результат. Для долгой автономной работы этого мало. Нужна система, которая хранит историю попыток, проверяет изменения, откатывает ошибки и передает знания следующим агентам. 📎В статье о Graph Engineering этот путь разобран по шагам: 🔵 Autoresearch - агент м

👍6🔥2custom 536621930598371153221

26 Jul 2026, 09:50 UTC≈2,200 views6 reactionsread 7 August 2026
Photo

OpenClaw подписал письмо Open Weights and American AI Leadership 🦞 С него Дженсен Хуанг (СЕО Nvidia) начал вести X. В письме 50 компаний и организаций, включая NVIDIA, Microsoft, Google, OpenAI, Meta, Mistral, Hugging Face, Ollama, Nous Research и OpenClaw. Коалиция предлагает США поддерживать не только закрытые передовые модели, но и модели с открытыми весами, которые можно скачать, адаптировать и запускать на сво

👍41🔥1

24 Jul 2026, 20:04 UTC≈1,700 views4 reactionsread 7 August 2026
Forwarded from @agents_lab

Как дать AI-агенту долговременную память о вашей жизни Hermes можно превратить в личную базу знаний: проекты, решения, цели и люди хранятся в Markdown, агент сам находит нужный контекст, отмечает устаревшие факты и показывает источники ответа. В коротком практическом руководстве собрал шесть готовых запросов для создания хранилища, импорта старых заметок и еженедельной проверки данных. Чат | Токены дёшево

👍21🔥1

22 Jul 2026, 12:10 UTC≈2,050 views4 reactionsread 7 August 2026
Forwarded from @agents_labPhoto

После loop engineering приходит Graph Engineering. Исследование, планирование, реализация и проверка становятся отдельными узлами, а параллельная работа субагентов уже образует граф. В 📎Новой статье разбираем, как применять этот подход при разработке репозиториев через Claude Code и Codex: Dynamic Workflows, нативные субагенты, готовые репозитории, worktrees, fan-out/fan-in, независимые проверки и ограниченные циклы

👍31

18 Jul 2026, 17:34 UTC≈2,650 views31 reactionsread 7 August 2026
Photo

Питер сказал своему крабу настроить принтер, и вот что получилось (только на английском) Сразу видно качественный SOUL.md ✌️ Чат | Токены дешево

😁18🤣65💩1🤮1

17 Jul 2026, 19:00 UTC≈2,210 views2 reactions1 Starread 7 August 2026
Forwarded from @agents_labPhoto

Что не новая модель, то AGI 😱 Есть уже опыт с Kimi? Чат | Токены дешево

👍1😁1

15 Jul 2026, 19:41 UTC≈2,070 views9 reactionsread 7 August 2026
Forwarded from @agents_labPhoto

От issue до PR: облачная фабрика разработки 🔥 Cloud Factory Demo 79⭐ собирает цепочку: триаж новых задач → PRODUCT.md и TECH.md для сложных изменений → реализация → проверка PR → внешний loop, который учится на реакции команды. Шаблон использует Oz Warp, GitHub Actions и скиллы. Каждый этап оставляет проверяемый артефакт, изменения проходят через PR, а среду запуска можно заменить. Верификация и мониторинг пока в п

custom 53662193059837115324👍32

14 Jul 2026, 10:56 UTC≈2,220 views5 reactionsread 7 August 2026

OpenClaw 2026.7.1 - дождались GPT-5.6 🦞 Над релизом работали 532 участника. GPT-5.6 и Muse Spark 1.1 теперь поддерживаются. Сильнее всего переделали панель управления. Сессии можно закреплять, группировать, переименовывать, форкать, архивировать и раскладывать по нескольким панелям. В Tasks видно фоновую работу. Еще из полезного: 🔵 iOS, Android и macOS сохраняют последние чаты при отключении Gateway и отправляют

3👍2

13 Jul 2026, 17:38 UTC≈1,800 views3 reactionsread 7 August 2026
Photo

Peter Steinberger: Провел выходные за небольшим обновлением образа ✌️ Ждем уже обновление краба для GPT 5.6, а то пока только беты выпускают. Чат | Токены дешево

👍21

Showing the 12 most recent of 21 posts we hold for @openclaw_lab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 September 2026 — this entry's latest reading, not the date you are reading this.

“OpenClaw Lab - Все об OpenClaw” (@openclaw_lab), 3,412 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/openclaw_lab.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.