Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

I JUST CREATED A SELF-EVOLVING, OPEN SOURCED AGENT ORCHESTRATOR CALLED "GHOSTBOX" 👻 Create and manage an army of agents that adapt themselves to your specific use cases! Each has their own isolated vault and sandbox for security & saving knowledge 📚 LINK IN REPLIES 👇

BOOTOSHI 👑

42,608 subscribers

12,084 views • 2 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

I built an AI system that builds itself. Not metaphorically. The AI agents literally rewrote their own orchestrator, tested it, reviewed their own code, fixed their own CI failures, and shipped it. Introducing Agent Orchestrator. Open source. Link below.

I built an AI system that builds itself. Not metaphorically. The AI agents literally rewrote their own orchestrator, tested it, reviewed their own code, fixed their own CI failures, and shipped it. Introducing Agent Orchestrator. Open source. Link below.

prateek

259,762 views • 3 months ago

AutoGPT for mobile is here. Communicate and create your own AutoGPT agents directly in Telegram. Completely open-sourced (link below)

AutoGPT for mobile is here. Communicate and create your own AutoGPT agents directly in Telegram. Completely open-sourced (link below)

Rowan Cheung

766,481 views • 3 years ago

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

Philipp Schmid

21,116 views • 23 days ago

In the next few years, people are going to have AI agents that are extensions of themselves and are providing services using their specific knowledge and capabilities 👇

In the next few years, people are going to have AI agents that are extensions of themselves and are providing services using their specific knowledge and capabilities 👇

Axelar Network

24,857 views • 1 year ago

LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own AI assistant that can perform knowledge tasks Enroll now for free ➡️ Bring LangChain Academy to your company ➡️

LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own AI assistant that can perform knowledge tasks Enroll now for free ➡️ Bring LangChain Academy to your company ➡️

LangChain

105,420 views • 1 year ago

Open sourced my OpenClaw🦞 Xteink tamagotchi setup! Includes full instructions for how to purchase your own Xteink, create sprites, flash new firmware, and configure your Openclaw to actually run the skill required to use your tamagotchi! Plus more :) And here’s a demo of all of the sprites I created Link below!

Open sourced my OpenClaw🦞 Xteink tamagotchi setup! Includes full instructions for how to purchase your own Xteink, create sprites, flash new firmware, and configure your Openclaw to actually run the skill required to use your tamagotchi! Plus more :) And here’s a demo of all of the sprites I created Link below!

Maddie D. Reese

42,047 views • 4 months ago

Superconductor: Manage an entire team of Claude Code agents, right from your phone or laptop. • Write informal tickets • Spin up MANY agents for each ticket • Each agent has its own live app preview • One-click PR the best one! Like this post and request early access👇

Superconductor: Manage an entire team of Claude Code agents, right from your phone or laptop. • Write informal tickets • Spin up MANY agents for each ticket • Each agent has its own live app preview • One-click PR the best one! Like this post and request early access👇

Sergey Karayev

34,295 views • 11 months ago

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5

AshutoshShrivastava

130,227 views • 1 year ago

Most Vercel deployments will come from AI agents. We just open sourced a demo that shows off: • 'Anonymous', programmatic deployments • Log streaming and state updates • Claim Deployment with Vercel flow tl;DR: Users can 'eject' the deployment the agent cooks to their own accounts. You can create your own v0⁠s that ship to Vercel! →

Most Vercel deployments will come from AI agents. We just open sourced a demo that shows off: • 'Anonymous', programmatic deployments • Log streaming and state updates • Claim Deployment with Vercel flow tl;DR: Users can 'eject' the deployment the agent cooks to their own accounts. You can create your own v0⁠s that ship to Vercel! →

Guillermo Rauch

108,060 views • 1 year ago

Someone just open-sourced an autonomous AI red team that runs the full kill chain. It's called Decepticon. A multi-agent system where one agent does recon, another exploits, another handles privilege escalation and lateral movement.. all inside a hardened Kali sandbox. 100% Open Source.

Someone just open-sourced an autonomous AI red team that runs the full kill chain. It's called Decepticon. A multi-agent system where one agent does recon, another exploits, another handles privilege escalation and lateral movement.. all inside a hardened Kali sandbox. 100% Open Source.

How To AI

44,498 views • 1 month ago

Spinning isolated agents on Hypercore: • one click → spawn 5, 10, 100s of agents • each agent runs in its own microVM • isolated memory, disk, and network • kill / restart / rotate instantly

Spinning isolated agents on Hypercore: • one click → spawn 5, 10, 100s of agents • each agent runs in its own microVM • isolated memory, disk, and network • kill / restart / rotate instantly

Mayur Chougule

210,758 views • 4 months ago

I built my own software factory, and I open-sourced it. It's called Sandcastle. Here's how to use it:

I built my own software factory, and I open-sourced it. It's called Sandcastle. Here's how to use it:

Matt Pocock

327,593 views • 1 month ago

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

André König

36,010 views • 2 months ago

The wait is OVER. 🟪 🟪 Pearl: The "Agent App Store" is now open to all! 🎉 Bringing you the ultimate collection of AI Agents in one app, including: 👾 Modius: Your personal DeFAI Agent on Mode 🟡 that manages your assets autonomously. 👾 A fun, self-evolving influencer Agent that does more than just post for you. 👾 Prediction: An Agent with a knack for predicting the future for you. ...and more coming! Download → Pick an Agent → Start earning rewards 🏆 Try Pearl Now:

The wait is OVER. 🟪 🟪 Pearl: The "Agent App Store" is now open to all! 🎉 Bringing you the ultimate collection of AI Agents in one app, including: 👾 Modius: Your personal DeFAI Agent on Mode 🟡 that manages your assets autonomously. 👾 A fun, self-evolving influencer Agent that does more than just post for you. 👾 Prediction: An Agent with a knack for predicting the future for you. ...and more coming! Download → Pick an Agent → Start earning rewards 🏆 Try Pearl Now:

Olas (formerly Autonolas)

23,369 views • 1 year ago

Got inspired so I recreated a demo of this w/ Claude Code & Vercel Sandbox Each thread gets their own sandbox to develop in, but if you wanted to they could all use the same sandbox via worktrees

Got inspired so I recreated a demo of this w/ Claude Code & Vercel Sandbox Each thread gets their own sandbox to develop in, but if you wanted to they could all use the same sandbox via worktrees

Rhys

22,546 views • 10 months ago

You can now create and manage automations in the same workspace as your agents. Automations are now available in the Agents Window. For the next 7 days, all agent runs for newly created automations are 50% off.

You can now create and manage automations in the same workspace as your agents. Automations are now available in the Agents Window. For the next 7 days, all agent runs for newly created automations are 50% off.

Cursor

191,873 views • 25 days ago

NEW: Zapier Agents now work like a team. Roles, handoffs, and closing the loop. What's new: Agent-to-agent calling: Your AI agents now pass work like a relay team, each handling the step they’re best at (no human handoffs needed) Copilot: Describe your workflow in plain language, and Copilot maps the workflow and builds your full agent team, start to finish. Live knowledge sources: Your agents now pull live data straight from Box, Dropbox & Google Drive, always staying up-to-date. Template sharing: Turn your best agents into Zapier community templates. Share wins, showcase use cases, and turn your best builds into content. These specialized agents now collaborate to run full workflows (sales, support, marketing, and more), not just isolated tasks.

NEW: Zapier Agents now work like a team. Roles, handoffs, and closing the loop. What's new: Agent-to-agent calling: Your AI agents now pass work like a relay team, each handling the step they’re best at (no human handoffs needed) Copilot: Describe your workflow in plain language, and Copilot maps the workflow and builds your full agent team, start to finish. Live knowledge sources: Your agents now pull live data straight from Box, Dropbox & Google Drive, always staying up-to-date. Template sharing: Turn your best agents into Zapier community templates. Share wins, showcase use cases, and turn your best builds into content. These specialized agents now collaborate to run full workflows (sales, support, marketing, and more), not just isolated tasks.

Wade Foster

37,749 views • 9 months ago

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:

LangChain

148,506 views • 2 months ago

this is insane! i just built an AI agent to order all my food for the week in one click and i open sourced it 🚀

this is insane! i just built an AI agent to order all my food for the week in one click and i open sourced it 🚀

Gary Sheng - The Applied AI Guy

22,375 views • 1 year ago

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

I am hooked on Dynamic Workflows! The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator. And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports. I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built DAIR.AI agent. This is clearly the future of working with agents to accomplish complex, long-running tasks. Some use cases I'm having success with: - Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification. There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

elvis

100,997 views • 10 days ago