Загрузка видео...

Не удалось загрузить видео

На главную

Introducing Bloome: a human–AI teammate system built around shared context and multi-agent collaboration. → You bring your task, and AI teammates collaborate with you in real time → Work flows through drafting, challenge, and refinement until it reaches the right answer → Claude, ChatGPT, and Deepseek operate together in...

Bloome_im's profile picture

Bloome

1,109 subscribers

336,797 просмотров • 11 дней назад •via X (Twitter)

Наука и технологииОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console
0:40

Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console

Daniel San

51,642 просмотров • 2 месяцев назад

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate
0:23

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate

Your Tech Girl

14,290 просмотров • 1 месяц назад

Introducing Libra AI, the SOTA super agent that amplifies your work, enabling you to bring your best everyday. Your work life will never be the same starting today. > Libra understands all your data and context like a human teammate > Takes actions on your behalf > Replaces the patchwork of vertical AI tools with one that actually does the work Experience it today, now in early access Libra AI⚡️
1:33

Introducing Libra AI, the SOTA super agent that amplifies your work, enabling you to bring your best everyday. Your work life will never be the same starting today. > Libra understands all your data and context like a human teammate > Takes actions on your behalf > Replaces the patchwork of vertical AI tools with one that actually does the work Experience it today, now in early access Libra AI⚡️

Gokul Cholaghar

1,924,791 просмотров • 1 месяц назад

these guys are making Claude, Hermes, and DeepSeek argue with each other instead of just agreeing with you. this is the practical future of agent teams. with Bloome you just pick a task template, and it spins up a full agent team in a group chat to collaborate and get the job done. research, review, writing, market analysis, or anything you want. they brainstorm, review, and plan together. meanwhile, you or other human teammates can steer them or jump in, and stay in the same conversation so nothing gets lost across tools. since this is actual work, Bloome works across web, mobile, and desktop. try the desktop app first if you're using it seriously. same flexibility on the agent side too, you can connect any agents you want: ChatGPT, OpenClaw, Gemini… check them out →
0:58

these guys are making Claude, Hermes, and DeepSeek argue with each other instead of just agreeing with you. this is the practical future of agent teams. with Bloome you just pick a task template, and it spins up a full agent team in a group chat to collaborate and get the job done. research, review, writing, market analysis, or anything you want. they brainstorm, review, and plan together. meanwhile, you or other human teammates can steer them or jump in, and stay in the same conversation so nothing gets lost across tools. since this is actual work, Bloome works across web, mobile, and desktop. try the desktop app first if you're using it seriously. same flexibility on the agent side too, you can connect any agents you want: ChatGPT, OpenClaw, Gemini… check them out →

ℏεsam

60,246 просмотров • 2 дней назад

Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇
0:26

Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇

PeLpA

52,282 просмотров • 4 месяцев назад

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:
0:30

Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

Ben Burtenshaw

16,905 просмотров • 2 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.
0:22

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.

Jurij Skornik

11,070 просмотров • 1 месяц назад

From siloed AI to collective intelligence 🤝 Collaboration doesn’t have to mean juggling threads, scattered comments, and endless handoffs. With Manus Collaboration, your whole team can prompt the same task in a shared space: 🖼️ One shared canvas : Everyone contributes directly, no silos. 💡 Collective intelligence : Ideas compound as teammates build on each other’s prompts. 🔄 Always in sync : One space, one version, everyone sees it evolve together. ⚡ Seamless handoffs : Start a prompt, add a teammate, and keep the work flowing. With Manus, AI doesn’t replace collaboration, it multiplies it
0:37

From siloed AI to collective intelligence 🤝 Collaboration doesn’t have to mean juggling threads, scattered comments, and endless handoffs. With Manus Collaboration, your whole team can prompt the same task in a shared space: 🖼️ One shared canvas : Everyone contributes directly, no silos. 💡 Collective intelligence : Ideas compound as teammates build on each other’s prompts. 🔄 Always in sync : One space, one version, everyone sees it evolve together. ⚡ Seamless handoffs : Start a prompt, add a teammate, and keep the work flowing. With Manus, AI doesn’t replace collaboration, it multiplies it

Manus

37,385 просмотров • 10 месяцев назад

Meet your new teammates 🤝 AI agents like Wordsmith AI, Cursor, and Anthropic now work directly in Slack. They’re grounded in your real conversations, files, and context—all with enterprise-grade security built in.
0:20

Meet your new teammates 🤝 AI agents like Wordsmith AI, Cursor, and Anthropic now work directly in Slack. They’re grounded in your real conversations, files, and context—all with enterprise-grade security built in.

Slack

20,271 просмотров • 4 месяцев назад

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:
1:27

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Notion

493,537 просмотров • 3 месяцев назад

Context is power. Context shared is power multiplied. Every AI agent today builds context, then loses it. Work doesn't compound. OriginTrail is built differently: three memory layers, one shared graph, provenance baked in. DKG v10 now integrates with Hermes of Nous Research, OpenClaw🦞, Claude (Code & Desktop), Cursor, Codex by OpenAI, Windsurf (retired), VSCode + GitHub Copilot Chat, and Cline.
0:22

Context is power. Context shared is power multiplied. Every AI agent today builds context, then loses it. Work doesn't compound. OriginTrail is built differently: three memory layers, one shared graph, provenance baked in. DKG v10 now integrates with Hermes of Nous Research, OpenClaw🦞, Claude (Code & Desktop), Cursor, Codex by OpenAI, Windsurf (retired), VSCode + GitHub Copilot Chat, and Cline.

OriginTrail

1,723,329 просмотров • 2 месяцев назад

Still spending hours on repetitive work that should’ve been automated by now? Most teams waste valuable time creating documents from scratch, rewriting the same emails, reformatting data, and manually producing content that could be generated in seconds — with the right tools. Meet |Context — The AI Office Suite built to transform how work gets done. 🚀 Not just where you work — but what you work on. Context doesn’t just assist you. It acts like a teammate: learning, reasoning, writing, researching, and adapting to your workflow. Here’s how transforms your workday: ✅ Unified Workspace: Connect over 300 tools like Slack, Google Docs, Salesforce, and Excel in one place, and streamline your entire workflow. ✅ AI-Powered Automation: Let AI handle repetitive tasks, generate content, and update documents in real time, saving you hours every week. ✅ Real-Time Collaboration: Collaborate seamlessly with your team on shared workspaces, making edits, updates, and feedback simple and quick. ✅ Top-Tier Security: With enterprise-grade security, including SOC 2, GDPR compliance, and AES-256 encryption, your data stays safe and secure. ✅ Endless Customization: Build custom templates, automate research, and tailor workflows to meet the unique needs of your business. Ready to level up your workflow? Try it now👉 #ContextAI #Automation #AIWorkspace #Productivity #SmartWork #NoCodeTools #AIIntegration #Teamworkrder
0:45

Still spending hours on repetitive work that should’ve been automated by now? Most teams waste valuable time creating documents from scratch, rewriting the same emails, reformatting data, and manually producing content that could be generated in seconds — with the right tools. Meet |Context — The AI Office Suite built to transform how work gets done. 🚀 Not just where you work — but what you work on. Context doesn’t just assist you. It acts like a teammate: learning, reasoning, writing, researching, and adapting to your workflow. Here’s how transforms your workday: ✅ Unified Workspace: Connect over 300 tools like Slack, Google Docs, Salesforce, and Excel in one place, and streamline your entire workflow. ✅ AI-Powered Automation: Let AI handle repetitive tasks, generate content, and update documents in real time, saving you hours every week. ✅ Real-Time Collaboration: Collaborate seamlessly with your team on shared workspaces, making edits, updates, and feedback simple and quick. ✅ Top-Tier Security: With enterprise-grade security, including SOC 2, GDPR compliance, and AES-256 encryption, your data stays safe and secure. ✅ Endless Customization: Build custom templates, automate research, and tailor workflows to meet the unique needs of your business. Ready to level up your workflow? Try it now👉 #ContextAI #Automation #AIWorkspace #Productivity #SmartWork #NoCodeTools #AIIntegration #Teamworkrder

Manish Kumar Shah

33,734 просмотров • 1 год назад

Context-aware, action-ready. ChatGPT agent understands the task, chooses the right tool, and gets to work. It uses connectors, context, and custom instructions to take smarter actions on your behalf.
2:35

Context-aware, action-ready. ChatGPT agent understands the task, chooses the right tool, and gets to work. It uses connectors, context, and custom instructions to take smarter actions on your behalf.

OpenAI

143,170 просмотров • 11 месяцев назад

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇
15:04

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,794 просмотров • 2 месяцев назад

INTRODUCING: Sparkle v4 from Every 📧 Is your desktop a disaster? We built an agent for that. → sparkle’s agent examines your filesystem and helps you create an organization structure that’s right for how YOU work → it starts with a deep clean. old installers, duplicates, forgotten screenshots, system junk—gone, with your permission. → it runs quietly in the background, keeping everything in order. set a schedule, and your mac stays organized over time instead of drifting back into chaos Declutter your Mac with 0 effort:
0:20

INTRODUCING: Sparkle v4 from Every 📧 Is your desktop a disaster? We built an agent for that. → sparkle’s agent examines your filesystem and helps you create an organization structure that’s right for how YOU work → it starts with a deep clean. old installers, duplicates, forgotten screenshots, system junk—gone, with your permission. → it runs quietly in the background, keeping everything in order. set a schedule, and your mac stays organized over time instead of drifting back into chaos Declutter your Mac with 0 effort:

Dan Shipper 📧

33,525 просмотров • 2 месяцев назад

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.
1:33

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

Aaron Levie

235,980 просмотров • 1 год назад

How to build your own private DeepSeek chatbot with Venice API & n8n Unlike other AI apps, Venice doesn't store your prompts – everything stays in your browser (and nothing is shared with the CCP...) Venice creator-in-residence Jordan Urbs walks you through it in less than 10 minutes
9:19

How to build your own private DeepSeek chatbot with Venice API & n8n Unlike other AI apps, Venice doesn't store your prompts – everything stays in your browser (and nothing is shared with the CCP...) Venice creator-in-residence Jordan Urbs walks you through it in less than 10 minutes

Venice

18,846 просмотров • 1 год назад

How do you build AI that actually understands you and your work? It all starts with having the right context. Hear more from Dropbox product manager Noorain Noorani—along with principal engineer Sean-Michael Lewis—on Working Smarter, our podcast about making AI work for you.
0:42

How do you build AI that actually understands you and your work? It all starts with having the right context. Hear more from Dropbox product manager Noorain Noorani—along with principal engineer Sean-Michael Lewis—on Working Smarter, our podcast about making AI work for you.

Dropbox

13,966 просмотров • 25 дней назад