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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...

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André König

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36,090 次观看 • 3 个月前 •via X (Twitter)

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We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.
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We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

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herdr isn't an app. that's by design. it's a runtime for your coding agents. it owns your terminals, your agents, their state, and lets you drive them from anywhere. that was the idea from day one. but people started running with it faster than we could give them a real way to. even without any official support, they're already building on top of it. web, ios, dashboards. their own idea of what a client even is. so here's a sneak peek 👇 it's native api support in the runtime, the thing we've been building so you can. the tui will always be the first citizen. but soon you'll be able to build your own client on top of herdr, on the same protocol we do.
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herdr isn't an app. that's by design. it's a runtime for your coding agents. it owns your terminals, your agents, their state, and lets you drive them from anywhere. that was the idea from day one. but people started running with it faster than we could give them a real way to. even without any official support, they're already building on top of it. web, ios, dashboards. their own idea of what a client even is. so here's a sneak peek 👇 it's native api support in the runtime, the thing we've been building so you can. the tui will always be the first citizen. but soon you'll be able to build your own client on top of herdr, on the same protocol we do.

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You don't need to be a developer to install AI agents and other open-source software. OpenCode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers:
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A workflow I'm enjoying for managing coding agents on a kanban board: When an agent needs your input, it turns the task red to alert you that it's blocked! And then you can respond right there on the card to unblock it 😎
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474,579 次观看 • 6 个月前

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If you're running multiple coding agents (Codex, Claude Code, Pi) at once, you're going to want to watch this. Herdr is a terminal multiplexer that actually understands your agents. Oh, and it has incredible mouse support. Bet I can convince you in 6 minutes:

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We're building HyperPlex. An open-source research agent that does the work you don't want to do. Give it a goal. It spawns agents, browses, reads, extracts, and returns a cited answer. Schedule it on a cron. Let it run while you sleep. Powered by Hyperbrowser.

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76,636 次观看 • 1 年前

been using a stealth model all day in opencode and it's working real well now you can use it too - it's called Sonic, it's made for coding and it's free for you to use so the team behind it can test it update to latest opencode and it should pop up right there
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been using a stealth model all day in opencode and it's working real well now you can use it too - it's called Sonic, it's made for coding and it's free for you to use so the team behind it can test it update to latest opencode and it should pop up right there

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This is why you want an execution layer share your tools, auth and approvals across all agents you use Check out me adding the Axiom MCP server, authing to it, and calling it from Claude Code and OpenCode in under a minute - all locally on my computer `npm i -g executor`

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Grok Build is coming. Not autocomplete… a full coding agent. You describe it. Grok plans, codes, and debugs. Up to 8 agents run in parallel. Apps, sites, full repos. Built from plain English. Arena Mode picks the best output. The local CLI keeps your code private. This isn’t “help me code.” It just builds. xAI Grok

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193,798 次观看 • 2 个月前

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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

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“How complex are agents on Surprisingly simple. You can create a personal agent in under a minute. Name it. Teach it your preferences. Set budgets, brands, tone, and how you want it to behave. Not 10,000 search results, just what you’d actually buy. The power comes from connected agents: your agent ↔ friends’ agents ↔ businesses’ agents. And this isn’t future talk. It’s live today on

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14,865 次观看 • 6 个月前

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:
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We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:

Simular

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It doesn’t matter how fast your code is generated if the requirements are unclear. Shit in == shit out. That’s why we designed Software Factory as a discipline, not as a convenience tool. Our agents scrutinize your requirements and designs so that when you pass that context to a coding agent, it delivers as expected. Try it here:

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305,241 次观看 • 5 个月前