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Every #GeminiAtWork update in 2 minutes: 1. One Cloud Agent: Shared memory across CLI, web, mobile & Workspace 2. Trusted Context: Knowledge Catalog & Borderless Lakehouse 3. Built-In Control: Agent Sandbox, Identity, spend caps & Smart Routing

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Google Cloud

573,630 subscribers

17,327 просмотров • 6 дней назад •via X (Twitter)

#GeminiAtWork
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Комментарии: 7

Фото профиля Sofi p.
Sofi p.6 дней назад

Shared memory across CLI, web, mobile and Workspace sounds great until one poisoned context follows you into every surface. Where does the sandbox draw the line on memory that shouldn't persist?

Фото профиля Mira Synth Tech
Mira Synth Tech6 дней назад

That is a big leap for Gemini at work.

Фото профиля VkDream
VkDream6 дней назад

跨端少解释几遍背景很省事 记忆也得让用户看得见 改得动

Фото профиля 韩策
韩策6 дней назад

这个花费上限把Token和沙箱费用一起算，触发后暂停项目代理，再让人决定要不要继续，比一封超额提醒邮件更实际。长任务还得展示停在哪一步、已经产出了什么；否则即使能一键恢复，也难判断下一笔预算该不该加。

Фото профиля the only way is up
the only way is up6 дней назад

So where is Gemini 4.0 Argon ?

Фото профиля Carlos A. Urquia
Carlos A. Urquia6 дней назад

Nice

Фото профиля Chandrakumar R Pillai
Chandrakumar R Pillai6 дней назад

Shared context makes provenance important too: carry the source, user permission and tool action with a result across surfaces, so teams can audit where an agent answer came from. #EnterpriseAI #AIAgents

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Eric ⚡️ Building...

23,076 просмотров • 6 месяцев назад

Take note! ✏ We've rounded up the top 6 updates from Firebase this February. Chapters: 0:00 - Firebase A/B Testing for the web 0:43 - Cloud Shell in Firebase console 1:11 - Crashlytics export to Cloud Logging 1:46 - Cloud Storage Blaze plan requirement 2:19 - Firebase CLI - auth providers in firebase deploy 2:57 - Firebase CLI - dataconnect:compile 3:16 - Firebase Agent Skills
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Take note! ✏ We've rounded up the top 6 updates from Firebase this February. Chapters: 0:00 - Firebase A/B Testing for the web 0:43 - Cloud Shell in Firebase console 1:11 - Crashlytics export to Cloud Logging 1:46 - Cloud Storage Blaze plan requirement 2:19 - Firebase CLI - auth providers in firebase deploy 2:57 - Firebase CLI - dataconnect:compile 3:16 - Firebase Agent Skills

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20,007 просмотров • 7 месяцев назад

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Vercel

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Miniscript support is now live in Nunchuk CLI + Agent Skills. This demo shows a decaying multisig: 2-of-3 today → 1-of-3 after Jan 1, 2030. Shared Bitcoin wallets shouldn’t stop at basic multisig. Build Bitcoin agents with richer Bitcoin-native control.

nunchuk_io

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HERMES AGENT JUST SHIPPED A PROFILE BUILDER IN THE DASHBOARD. build a complete agent in one guided flow. no CLI. no config editing. no guesswork. Nous Research open Profiles from the sidebar. click Build (next to quick Create). follow the 5-step wizard: Identity → Model → Skills → MCPs → Review IDENTITY → name, description, SOUL.md → this becomes slot #1 in the system prompt MODEL → pick provider and model for this agent → same 150+ config fields available in the dashboard SKILLS → toggle built-in and optional skills → search the Skills Hub across all sources → install with live progress log → update all installed skills in one click MCPs → add HTTP/SSE servers by URL → add stdio servers by command + args + env vars → browse the Nous-approved MCP catalog → one-click install from catalog → test any server before committing (connect → list tools → verify → disconnect) REVIEW → full summary of the new agent → confirm and deploy one wizard replaces: hermes profile create, manual SOUL.md edit, config.yaml changes, skills install one by one, MCP setup via CLI. hermes dashboard → Profiles → Build 8 loops inside Hermes Agent 👇

YanXbt

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Hugo Mercier

11,226 просмотров • 7 месяцев назад

Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.
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YanXbt

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Sam Hall

155,284 просмотров • 2 лет назад

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Julian Goldie SEO

80,459 просмотров • 6 месяцев назад

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rody

18,089 просмотров • 18 дней назад

Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. worth than $500 vibe-coding course. Bookmark & replace one movie today with this course, then read the complete article below.
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Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. worth than $500 vibe-coding course. Bookmark & replace one movie today with this course, then read the complete article below.

Khairallah AL-Awady

174,850 просмотров • 5 месяцев назад

Introducing OpenAI Dots x Heybrain. Your always-on agents now have persistent, governed memory across sessions, tools, and agents. One agent can pick up where another left off, with the right company context and permissions already in place. Powered by Brain & GPT-6.1 Sol.
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Introducing OpenAI Dots x Heybrain. Your always-on agents now have persistent, governed memory across sessions, tools, and agents. One agent can pick up where another left off, with the right company context and permissions already in place. Powered by Brain & GPT-6.1 Sol.

HeyBrain

36,738 просмотров • 18 дней назад

HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇
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HERMES AGENT JUST GOT A RESEARCH BRAIN. connect it to NotebookLM and it becomes a 247 research system that builds knowledge over time. it resources. connects ideas across sources. uses that context in every real task. setup in 4 steps: 1. install Hermes with MCP enabled 2. download NotebookLM skill from GitHub 3. add endpoint to MCP servers in config 4. restart Hermes what your agent can now do: → query your notebooks instead of the open web → connect ideas across multiple sources → build knowledge session after session → use your curated context in every /goal → zero hallucinations from your own verified sources ask it anything — it answers from what YOU already know. full setup guide — MCP, models, use cases — in the article 👇

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codila

23,915 просмотров • 2 месяцев назад

if vibe coding was actually a VIBE : yes you can run remote canvasses straight on your vps and ship to production like a psychopath. yes its built in swift and uses very little memory and is insanely performant. yes it has agentic voice control with gpt realtime 2. yes their is bidirectional agent / canvas control via mcp and cli. yes their is built in shared memory system without bloat. made with love by a dad in his basement who is tired of vibe coding being slow, boring, and constrained. CNVS coming soon.
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Max Blade

244,908 просмотров • 4 месяцев назад

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Teamily AI

4,364,062 просмотров • 10 дней назад