Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Custom Statusline in Antigravity CLI🚦⚙️ Track agent state, context window, subagents all right from the footer of your terminal. Been using this one created by Jochen Kirstätter (JoKi) and I'm obsessed. Will share link to copy it below 👇

JackWoth98's profile picture

Jack Wotherspoon

9,626 subscribers

26,224 görüntüleme • 2 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇
0:33

Subagents have arrived in Gemini CLI! 🤖🚀 Create your own custom subagents in Gemini CLI! Subagents are specialized, expert agents that the main agent can delegate work to. 📦- Subagents have their own set of tools, MCP servers, system instructions, and context window. 🏷️- Use Agent to explicitly delegate to a subagent 🧹- Keeps the main context window clean ⚡️- Speed up work by running agents in parallel Read more in the launch blog below 👇

Jack Wotherspoon

222,006 görüntüleme • 4 ay önce

Antigravity has been getting some upgrades 🧑‍🚀 You can now define custom agents (and subagents) as markdown files with YAML frontmatter. I've been waiting for this! In Antigravity CLI you can use the --agent flag to launch with a custom agent instead of the default.
0:31

Antigravity has been getting some upgrades 🧑‍🚀 You can now define custom agents (and subagents) as markdown files with YAML frontmatter. I've been waiting for this! In Antigravity CLI you can use the --agent flag to launch with a custom agent instead of the default.

Jack Wotherspoon

32,105 görüntüleme • 1 ay önce

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

51,706 görüntüleme • 3 ay önce

Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!
0:20

Make your CLI 10x more powerful with custom subagents! Mistral Vibe is an open-source coding agent that runs in your terminal. Most terminal agents give you one assistant that does everything. With Vibe, you can build custom subagents for targeted tasks like deploy scripts, PR reviews, and test generation, then invoke them on demand. Here's how it works: Each subagent runs independently and handles its job without cluttering your main workflow. You might have one for PR reviews, another for testing, and another for deployment. The agent also has full access to your codebase. It scans your project structure and Git status automatically, so it understands context across multiple files, not just the one you're editing. Key capabilities: • Web search and fetching - query and fetch content from the web mid-session for documentation, or API references. • Multi-choice clarifications - when your instruction is ambiguous, Vibe prompts with options instead of guessing. You pick the right path before it acts. • Full skills support - slash commands for preconfigured workflows, custom subagents for specialized tasks, and extensibility through the Agent Skills standard. Vibe works in your terminal or connects to VS Code, JetBrains, and Zed through the Agent Client Protocol. Mistral Vibe is available through Le Chat Pro and Team plans. It's 100% open source Link to Mistral Vibe in the comments!

Sumanth

10,483 görüntüleme • 5 ay önce

I turned cursor + claude 3.7 into a powerhouse content writer using a custom agent mode. it: - researches your topic - plans out your content - writes one section at a time - has full context of previously written sections - adds relevant links, tables, code examples, etc - writes for users NOT seo slop watch the video - it literally one-shot a killer article in minutes and the output looks nothing like AI check the link to the article in the first reply below if this post gets a million views i'll share the custom agent instructions prompt ;)
0:45

I turned cursor + claude 3.7 into a powerhouse content writer using a custom agent mode. it: - researches your topic - plans out your content - writes one section at a time - has full context of previously written sections - adds relevant links, tables, code examples, etc - writes for users NOT seo slop watch the video - it literally one-shot a killer article in minutes and the output looks nothing like AI check the link to the article in the first reply below if this post gets a million views i'll share the custom agent instructions prompt ;)

Ian Nuttall

117,186 görüntüleme • 1 yıl önce

New short film created with Seedance 2 on Invideo using Agent One. Lately, I've been exploring this type of organic world where characters don't fight their environment — they learn how to interact with it. For this project, I used Agent One. My advice remains the same: start by building your world, characters, creatures, and story. Once those foundations are in place, Agent One becomes a powerful tool for expanding the worldbuilding, organizing research, generating shots, creating animations, editing sequences, and much more. If you'd like to try it, the link is below 👇
0:49

New short film created with Seedance 2 on Invideo using Agent One. Lately, I've been exploring this type of organic world where characters don't fight their environment — they learn how to interact with it. For this project, I used Agent One. My advice remains the same: start by building your world, characters, creatures, and story. Once those foundations are in place, Agent One becomes a powerful tool for expanding the worldbuilding, organizing research, generating shots, creating animations, editing sequences, and much more. If you'd like to try it, the link is below 👇

Anima

11,776 görüntüleme • 1 ay önce

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇
1:08

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇

Google Antigravity

132,207 görüntüleme • 3 ay önce

Naïve company formation just killed Stripe Atlas. Agents can now incorporate real companies, straight from the CLI. Get started by just prompting your agent: "Follow Naïve AI's docs to register and incorporate my company [name]" Your agent will then: > handle identity verification and KYC > form an LLC/C-Corp in any US state > file state documents and pull Articles of Incorporation & EIN letters Free CLI, free API — you only pay the no-markup $249 formation fee when your agent actually files (covers state fees, registered agent, EIN, all of it.) The "download a company" stack is real now. Try it ↓ 🔗
0:23

Naïve company formation just killed Stripe Atlas. Agents can now incorporate real companies, straight from the CLI. Get started by just prompting your agent: "Follow Naïve AI's docs to register and incorporate my company [name]" Your agent will then: > handle identity verification and KYC > form an LLC/C-Corp in any US state > file state documents and pull Articles of Incorporation & EIN letters Free CLI, free API — you only pay the no-markup $249 formation fee when your agent actually files (covers state fees, registered agent, EIN, all of it.) The "download a company" stack is real now. Try it ↓ 🔗

naïve

19,758 görüntüleme • 3 ay önce

New short course: LLMs as Operating Systems: Agent Memory, created with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM's input context window has limited space. Using a longer input context also costs more and results in slower processing. So, managing what's stored in this context window is important. In the innovative paper MemGPT: Towards LLMs as Operating Systems, its authors (which include the instructors) proposed using an LLM agent to manage this context window. Their system uses a large persistent memory that stores everything that could be included in the input context, and an agent decides what is actually included. Take the example of building a chatbot that needs to remember what's been said earlier in a conversation (perhaps over many days of interaction with a user). As the conversation's length grows, the memory management agent will move information from the input context to a persistent searchable database; summarize information to keep relevant facts in the input context; and restore relevant conversation elements from further back in time. This allows a chatbot to keep what's currently most relevant in its input context memory to generate the next response. When I read the original MemGPT paper, I thought it was an innovative technique for handling memory for LLMs. The open-source Letta framework, which we'll use in this course, makes MemGPT easy to implement. It adds memory to your LLM agents and gives them transparent long-term memory. In detail, you’ll learn: - How to build an agent that can edit its own limited input context memory, using tools and multi-step reasoning - What is a memory hierarchy (an idea from computer operating systems, which use a cache to speed up memory access), and how these ideas apply to managing the LLM input context (where the input context window is a "cache" storing the most relevant information; and an agent decides what to move in and out of this to/from a larger persistent storage system) - How to implement multi-agent collaboration by letting different agents share blocks of memory This course will give you a sophisticated understanding of memory management for LLMs, which is important for chatbots having long conversations, and for complex agentic workflows. Please sign up here!
2:57

New short course: LLMs as Operating Systems: Agent Memory, created with Letta, and taught by its founders Charles Packer and Sarah Wooders. An LLM's input context window has limited space. Using a longer input context also costs more and results in slower processing. So, managing what's stored in this context window is important. In the innovative paper MemGPT: Towards LLMs as Operating Systems, its authors (which include the instructors) proposed using an LLM agent to manage this context window. Their system uses a large persistent memory that stores everything that could be included in the input context, and an agent decides what is actually included. Take the example of building a chatbot that needs to remember what's been said earlier in a conversation (perhaps over many days of interaction with a user). As the conversation's length grows, the memory management agent will move information from the input context to a persistent searchable database; summarize information to keep relevant facts in the input context; and restore relevant conversation elements from further back in time. This allows a chatbot to keep what's currently most relevant in its input context memory to generate the next response. When I read the original MemGPT paper, I thought it was an innovative technique for handling memory for LLMs. The open-source Letta framework, which we'll use in this course, makes MemGPT easy to implement. It adds memory to your LLM agents and gives them transparent long-term memory. In detail, you’ll learn: - How to build an agent that can edit its own limited input context memory, using tools and multi-step reasoning - What is a memory hierarchy (an idea from computer operating systems, which use a cache to speed up memory access), and how these ideas apply to managing the LLM input context (where the input context window is a "cache" storing the most relevant information; and an agent decides what to move in and out of this to/from a larger persistent storage system) - How to implement multi-agent collaboration by letting different agents share blocks of memory This course will give you a sophisticated understanding of memory management for LLMs, which is important for chatbots having long conversations, and for complex agentic workflows. Please sign up here!

Andrew Ng

200,950 görüntüleme • 1 yıl önce

How powerful is Gemini 3.5 Flash? In a recent research preview, we pushed it to the extreme, powering 93 subagents across 15,314 model calls that wrote a custom kernel, filesystem, and drivers from scratch. 12 hours later, it booted Doom. 🖥️ This is just a glimpse of the model's reasoning depth and code generation capabilities. Full breakdown below 👇
2:20

How powerful is Gemini 3.5 Flash? In a recent research preview, we pushed it to the extreme, powering 93 subagents across 15,314 model calls that wrote a custom kernel, filesystem, and drivers from scratch. 12 hours later, it booted Doom. 🖥️ This is just a glimpse of the model's reasoning depth and code generation capabilities. Full breakdown below 👇

Google Antigravity

251,589 görüntüleme • 2 ay önce

Quick breakdown of how this sequence was created using WAN 2.2 Animate agent and Multi-Angle Fashion Shoot agent One changes your appearance and location, the other generates camera movements and transitions. Short tutorial on blending both techniques Links to these agents below 👇
1:42

Quick breakdown of how this sequence was created using WAN 2.2 Animate agent and Multi-Angle Fashion Shoot agent One changes your appearance and location, the other generates camera movements and transitions. Short tutorial on blending both techniques Links to these agents below 👇

GLIF

65,142 görüntüleme • 8 ay önce

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in this video he breaks down exactly how most people are using Claude: - the 34% you lose to CLAUDE.md before typing a word - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below
13:23

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in this video he breaks down exactly how most people are using Claude: - the 34% you lose to CLAUDE.md before typing a word - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

21,533 görüntüleme • 2 ay önce

I've been using Claude Code completely wrong. I gave it a custom skill and Browser CLI tools and letting it do work for me. It can open pages, click buttons, fill in forms all from your authenticated browser. Just published it to the marketplace, install it in 2 commands.
0:29

I've been using Claude Code completely wrong. I gave it a custom skill and Browser CLI tools and letting it do work for me. It can open pages, click buttons, fill in forms all from your authenticated browser. Just published it to the marketplace, install it in 2 commands.

Paul Klein IV

229,523 görüntüleme • 9 ay önce

🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️
1:11

🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️

Dan McAteer

153,982 görüntüleme • 1 yıl önce

Portfolio Update!🤔 New Features in This Update: -Position Tracking - Track all active positions in one location. -PnL Cards - Generate custom First Ledger PnL cards to share on social media or with friends. -Transaction History - Track all of your buys/sells for a token with just one click. -Custom Slippage Presets - Set custom values for both the buy and sell sides of slippage. -Buy/Sell Presets - set custom amounts for both the buy and sell side to quickly enter/exit a position. For users who prefer not to read, please watch the video below:
3:37

Portfolio Update!🤔 New Features in This Update: -Position Tracking - Track all active positions in one location. -PnL Cards - Generate custom First Ledger PnL cards to share on social media or with friends. -Transaction History - Track all of your buys/sells for a token with just one click. -Custom Slippage Presets - Set custom values for both the buy and sell sides of slippage. -Buy/Sell Presets - set custom amounts for both the buy and sell side to quickly enter/exit a position. For users who prefer not to read, please watch the video below:

First Ledger

20,276 görüntüleme • 1 yıl önce

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 görüntüleme • 3 ay önce

Introducing Naïve Domains — agents can now buy & manage their own domains, straight from the CLI. npm install -g naïve-sdk/cli and your agent can: > search & buy any domain via API > auto-configure DNS in one call > spin up custom email inboxes > deploy websites directly to domains Free to install, free to use — you only pay the registrar fee when your agent actually buys a domain (no markup). All it takes is one prompt. Try it now ↓🔗
0:46

Introducing Naïve Domains — agents can now buy & manage their own domains, straight from the CLI. npm install -g naïve-sdk/cli and your agent can: > search & buy any domain via API > auto-configure DNS in one call > spin up custom email inboxes > deploy websites directly to domains Free to install, free to use — you only pay the registrar fee when your agent actually buys a domain (no markup). All it takes is one prompt. Try it now ↓🔗

naïve

14,708 görüntüleme • 3 ay önce

i genuinely don't understand why i'm the only one using this... Andrej Karpathy, engineer at Anthropic, invented the concept of the LLM Wiki inside Obsidian i used it to build my own local knowledge base for generating AI videos on autopilot, here's how it works: - i sent to Claude Code hundreds of movies, ads, anime references - it ingested all of it and created smart links between each so it's easy for any agent to read it - whenever i want to make a video using Seedance 2.5 (coming soon on Higgsfield), the agent picks up the right format, composition and lens my whole video production pipeline lives in an AI agent with access to Higgsfield's suite: CLI, skills and all models (for image, video, voice and music) this is the absolute best way to work with AI agents in 2026... i teach you how to build the same in the article below:
1:59

i genuinely don't understand why i'm the only one using this... Andrej Karpathy, engineer at Anthropic, invented the concept of the LLM Wiki inside Obsidian i used it to build my own local knowledge base for generating AI videos on autopilot, here's how it works: - i sent to Claude Code hundreds of movies, ads, anime references - it ingested all of it and created smart links between each so it's easy for any agent to read it - whenever i want to make a video using Seedance 2.5 (coming soon on Higgsfield), the agent picks up the right format, composition and lens my whole video production pipeline lives in an AI agent with access to Higgsfield's suite: CLI, skills and all models (for image, video, voice and music) this is the absolute best way to work with AI agents in 2026... i teach you how to build the same in the article below:

Machina

53,232 görüntüleme • 15 gün önce