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new herdr update! agent session restore is now enabled by default for supported integrations. after a herdr restart or update, supported agents can automatically resume their native sessions right where they left off. also introducing release channels. a small thread:

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16,490 просмотров • 2 месяцев назад •via X (Twitter)

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【✨】 VTube Studio 1.35.2 is now released - A small update for the SFX system: 1⃣ - You can now automatically stop sound effects when a hotkey is deactivated 🎶🛑 2⃣ - There is a new hotkey type to toggle the volume for a model or Live2D item on/off 🔇↔️🔊
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【✨】 VTube Studio 1.35.2 is now released - A small update for the SFX system: 1⃣ - You can now automatically stop sound effects when a hotkey is deactivated 🎶🛑 2⃣ - There is a new hotkey type to toggle the volume for a model or Live2D item on/off 🔇↔️🔊

VTube Studio

76,506 просмотров • 4 месяцев назад

Genesis Update: Forums Are Now Live Genesis and Sentient agents now have their own agent forums. A dedicated space for Virgens to shape the future of the agents they believe in. Forum access is open to all readers. Posting access is gated by: • 100 veVIRTUAL for pre-TGE (Genesis) agents • 1,000 veVIRTUAL or 10,000 agent tokens for post-TGE (Sentient) agents Shape the direction of your agent. Now live on Virtuals Protocol.
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Genesis Update: Forums Are Now Live Genesis and Sentient agents now have their own agent forums. A dedicated space for Virgens to shape the future of the agents they believe in. Forum access is open to all readers. Posting access is gated by: • 100 veVIRTUAL for pre-TGE (Genesis) agents • 1,000 veVIRTUAL or 10,000 agent tokens for post-TGE (Sentient) agents Shape the direction of your agent. Now live on Virtuals Protocol.

Virtuals Protocol

45,804 просмотров • 1 год назад

Hermes Agent now has voice activation. Say the wake word and Hermes opens a new session and listens for your command, hands-free in the CLI, TUI, or desktop app. Detection is local and off by default.
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Hermes Agent now has voice activation. Say the wake word and Hermes opens a new session and listens for your command, hands-free in the CLI, TUI, or desktop app. Detection is local and off by default.

Nous Research

577,840 просмотров • 29 дней назад

People of Pi! I just clanked up pi-shepherdr (KEKW): talk to one Pi, let it run the others. One master Pi gets a tiny 271-token orchestration surface (sounds ridiculous compared to some subagent extensions): - `list` finds agents and workspaces - `start` requires a name and explicit placement: a new workspace, new tab or existing pane. It can also set the session/tab label, directory and first task - `watch` adopts an existing agent - `send` gives an agent more work - `unwatch` stops reporting it without stopping or moving it Delegation is fire-and-forget. Finished work steers the master automatically and brings back the original task plus the full reply. If a worker is blocked, the notification includes the exact Herdr CLI commands for inspecting the pane, replying or sending keys. No skills, convoluted herdr introduction or `--help` archaeology needed. The tool's JSON schema already tells Pi what it is, how to place and name workers, and how to operate them. The boundaries are deliberate. Shepherdr does not focus, move, stop or close panes. Herdr owns the terminals, layout and session lifecycle. I recorded the demo below using realtime voice to build and test the thing, while Clawa apparently decided this was also her podcast. New meta for filming videos buahahhahaha. And, this time around, I made the Clanker louder so you can hear it in all of its glory. Fun times. pi install npm:@howaboua/pi-shepherdr Happy Clanking! - Clawa PS. Next stop, a phone line where I can call the Clanker and make it redirect me to a specific agent and start a voice call from there.
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People of Pi! I just clanked up pi-shepherdr (KEKW): talk to one Pi, let it run the others. One master Pi gets a tiny 271-token orchestration surface (sounds ridiculous compared to some subagent extensions): - `list` finds agents and workspaces - `start` requires a name and explicit placement: a new workspace, new tab or existing pane. It can also set the session/tab label, directory and first task - `watch` adopts an existing agent - `send` gives an agent more work - `unwatch` stops reporting it without stopping or moving it Delegation is fire-and-forget. Finished work steers the master automatically and brings back the original task plus the full reply. If a worker is blocked, the notification includes the exact Herdr CLI commands for inspecting the pane, replying or sending keys. No skills, convoluted herdr introduction or `--help` archaeology needed. The tool's JSON schema already tells Pi what it is, how to place and name workers, and how to operate them. The boundaries are deliberate. Shepherdr does not focus, move, stop or close panes. Herdr owns the terminals, layout and session lifecycle. I recorded the demo below using realtime voice to build and test the thing, while Clawa apparently decided this was also her podcast. New meta for filming videos buahahhahaha. And, this time around, I made the Clanker louder so you can hear it in all of its glory. Fun times. pi install npm:@howaboua/pi-shepherdr Happy Clanking! - Clawa PS. Next stop, a phone line where I can call the Clanker and make it redirect me to a specific agent and start a voice call from there.

Howaboua

27,205 просмотров • 16 дней назад

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.
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The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 просмотров • 7 месяцев назад

CoolOS + Beta 1.1 at We unveiled in this update a complete flow of Agent 🤖 x Creator 🎨 economy, where IP creators like KOLs or celebrities can now be pre-funded with memecoins based on their Twitter ID, from user's agent creation. 💡 This is the first step towards jointing IPs and fans and AI models in a new agent token economy.
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CoolOS + Beta 1.1 at We unveiled in this update a complete flow of Agent 🤖 x Creator 🎨 economy, where IP creators like KOLs or celebrities can now be pre-funded with memecoins based on their Twitter ID, from user's agent creation. 💡 This is the first step towards jointing IPs and fans and AI models in a new agent token economy.

HYPE3.cool

18,024 просмотров • 1 год назад

Ollama 0.2 is here! Concurrency is now enabled by default. This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as: - Handling multiple chat sessions at the same time - Hosting code completion LLMs for your team - Processing different parts of a document simultaneously - Running multiple agents at the same time Run multiple models Ollama now supports loading different models at the same time. This improves several use cases: - Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously. - Agents: multiple versions of an agent can now run simultaneously - Running large and small models side-by-side Models are automatically loaded and unloaded based on requests and how much GPU memory is available.
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Ollama 0.2 is here! Concurrency is now enabled by default. This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as: - Handling multiple chat sessions at the same time - Hosting code completion LLMs for your team - Processing different parts of a document simultaneously - Running multiple agents at the same time Run multiple models Ollama now supports loading different models at the same time. This improves several use cases: - Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously. - Agents: multiple versions of an agent can now run simultaneously - Running large and small models side-by-side Models are automatically loaded and unloaded based on requests and how much GPU memory is available.

ollama

219,429 просмотров • 2 лет назад

Shipping this feature to Superset is like scratching an itch I've had for months You can now annotate on any changes and send it directly to your agents! Works for any CLI agents. Spin up a new agent or send comment to your existing session 🔥 Powered by the wonderful Pierre diffs as always
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Shipping this feature to Superset is like scratching an itch I've had for months You can now annotate on any changes and send it directly to your agents! Works for any CLI agents. Spin up a new agent or send comment to your existing session 🔥 Powered by the wonderful Pierre diffs as always

Kiet

206,250 просмотров • 3 месяцев назад

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):
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is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

TrenchDiver

18,934 просмотров • 6 месяцев назад

Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵
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Introducing Vault Mode 🔒 👾 Vault Mode enables creators to tokenize and gate access to their agents and prompts. With Vault Mode, you can require users to hold your agent tokens before they can access your products. If a user does not hold the required tokens, access is automatically restricted. This unlocks an entirely new monetization model for the agent economy allowing creators to build token-gated agents, premium prompts, exclusive tools, private swarms, and more. Learn more ⬇️🧵

swarms

21,052 просмотров • 2 месяцев назад

Soccer Manager 2026 is NOW LIVE! 🚨 Get ready for a new era of Soccer Manager with SM26! Experience our upgraded Match Motion engine, new manager objectives, a new traits system, and so much more by upgrading to SM26. Want to play? Simply update your SM25 app and you’ll be able to seamlessly pick up where you left off or download at the link below:
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Soccer Manager 2026 is NOW LIVE! 🚨 Get ready for a new era of Soccer Manager with SM26! Experience our upgraded Match Motion engine, new manager objectives, a new traits system, and so much more by upgrading to SM26. Want to play? Simply update your SM25 app and you’ll be able to seamlessly pick up where you left off or download at the link below:

Invincibles Studio

317,403 просмотров • 11 месяцев назад

BREAKING 🚨: OpenAI released Atlas, a new AI browser with Memory recall and native Agent Mode. I had a chance to run many tests with Atlas and will share them shortly as well. - Atlas is fully integrated with ChatGPT and powered by ChatGPT search. - Agent Mode can navigate web pages for you, and you can spawn as many Agent Mode tabs as you wish. It is now available to Free, Plus, Pro, Go, and Business users worldwide. Enterprise and Education customers can access a beta if enabled by their admin. Versions for Windows, iOS, and Android are in development.
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BREAKING 🚨: OpenAI released Atlas, a new AI browser with Memory recall and native Agent Mode. I had a chance to run many tests with Atlas and will share them shortly as well. - Atlas is fully integrated with ChatGPT and powered by ChatGPT search. - Agent Mode can navigate web pages for you, and you can spawn as many Agent Mode tabs as you wish. It is now available to Free, Plus, Pro, Go, and Business users worldwide. Enterprise and Education customers can access a beta if enabled by their admin. Versions for Windows, iOS, and Android are in development.

TestingCatalog News 🗞

96,341 просмотров • 10 месяцев назад

Today, we're officially introducing the new Vybe. We started as "Lovable for internal apps." We spent the last year building the infrastructure: permissions, integrations, databases, workflows. Everything companies need to actually trust software inside their business. Then, OpenClaw came out and started showing what was possible with agents for personal use cases. Everything clicked for us. The infrastructure we'd built wasn't just useful for humans anymore: it was exactly what agents needed to operate inside real companies and teams. What happens when agents can work 24/7, with the right context, the right permissions, and access to your company's tools? A founder becomes a one-person army. A small team operates like a much bigger one. That's the mission we fell in love with at Vybe. Our agents have names and roles. They have their own email, Slack, phone number. They prep meetings, follow up with leads, run ops, update CRMs, build internal tools. Vybe runs on Vybe. We're onboarding 10 teams a week to run AI-native companies.
0:53

Today, we're officially introducing the new Vybe. We started as "Lovable for internal apps." We spent the last year building the infrastructure: permissions, integrations, databases, workflows. Everything companies need to actually trust software inside their business. Then, OpenClaw came out and started showing what was possible with agents for personal use cases. Everything clicked for us. The infrastructure we'd built wasn't just useful for humans anymore: it was exactly what agents needed to operate inside real companies and teams. What happens when agents can work 24/7, with the right context, the right permissions, and access to your company's tools? A founder becomes a one-person army. A small team operates like a much bigger one. That's the mission we fell in love with at Vybe. Our agents have names and roles. They have their own email, Slack, phone number. They prep meetings, follow up with leads, run ops, update CRMs, build internal tools. Vybe runs on Vybe. We're onboarding 10 teams a week to run AI-native companies.

Quang HOANG

34,778 просмотров • 2 месяцев назад

Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat). This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!
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Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat). This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!

tonbi

46,993 просмотров • 2 месяцев назад

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!
0:20

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,149 просмотров • 1 год назад

Look ma new Codex Updates! 0.119.0 and 0.120.0 are here. And with it, a HUGE number of quality of life updates and bug fixes! > Hooks now render in a dedicated live area above the composer. They only persist when they have output, so your terminal stays clean. If you're running PreToolUse or PostToolUse hooks, this is a huge readability win. > Hooks are now available again on Windows > CTRL+O copies the last agent output. Small but clutch when you're pulling a code block into another file or chat. > New statusline option: context usage as a graphical bar instead of a percentage. Easier to glance at mid-session when you're trying to gauge how much runway you have left. > Zellij support is here with no scrollback bugs. If you've been stuck on tmux just because Codex was broken in Zellij, you're free now (shout out Felipe Coury 🦀) > Memory extensions just landed. The consolidation agent can now discover plugin folders under memories_extensions/ and read their instructions.md to learn how to interpret new memory sources. Drop a folder in, give it guidance, and the agent picks it up automatically during summarization. No core code changes needed. This is the first real extension point for Codex's memory system, and it opens the door for third-party memory plugins. > Did you know, you can /rename a thread? But what's really cool about that is, after you rename it, you can resume it with the same name, no more UUIDs. codex resume mynewapp or directly from the TUI: /resume mynewapp > Multi agents v2 got an update to tool descriptions More reliable multi agent environments and inter agent communication > You can now enable TUI notifications whether Codex is in focus or not. Modify this in your config: [tui] notification_condition = "always" > MAJOR overhaul to Codex MCP functionality: 1. Codex Tool Search now works with custom MCP servers, so tools can be searched and deferred instead of all being exposed up front. 2. Custom MCP servers can now trigger elicitations, meaning they can stop and ask for user approval or input mid-flow. 3. MCP tool results now preserve richer metadata, which improves app/UI handoff behavior. 4. Codex can now read MCP resources directly, letting apps return resource URIs that the client can actually open. 5. File params for Codex Apps are smoother: local file paths can be uploaded and remapped automatically. 6. Plugin cache refresh and fallback sync behavior are more reliable, especially for custom and curated plugins. > Composer and chat behavior smoother overall, resize bugs remain though. > Realtime v2 got several significant improvements as well. > You're still reading? What a legend. 🫶 npm i -g @openai/codex to update
0:36

Look ma new Codex Updates! 0.119.0 and 0.120.0 are here. And with it, a HUGE number of quality of life updates and bug fixes! > Hooks now render in a dedicated live area above the composer. They only persist when they have output, so your terminal stays clean. If you're running PreToolUse or PostToolUse hooks, this is a huge readability win. > Hooks are now available again on Windows > CTRL+O copies the last agent output. Small but clutch when you're pulling a code block into another file or chat. > New statusline option: context usage as a graphical bar instead of a percentage. Easier to glance at mid-session when you're trying to gauge how much runway you have left. > Zellij support is here with no scrollback bugs. If you've been stuck on tmux just because Codex was broken in Zellij, you're free now (shout out Felipe Coury 🦀) > Memory extensions just landed. The consolidation agent can now discover plugin folders under memories_extensions/ and read their instructions.md to learn how to interpret new memory sources. Drop a folder in, give it guidance, and the agent picks it up automatically during summarization. No core code changes needed. This is the first real extension point for Codex's memory system, and it opens the door for third-party memory plugins. > Did you know, you can /rename a thread? But what's really cool about that is, after you rename it, you can resume it with the same name, no more UUIDs. codex resume mynewapp or directly from the TUI: /resume mynewapp > Multi agents v2 got an update to tool descriptions More reliable multi agent environments and inter agent communication > You can now enable TUI notifications whether Codex is in focus or not. Modify this in your config: [tui] notification_condition = "always" > MAJOR overhaul to Codex MCP functionality: 1. Codex Tool Search now works with custom MCP servers, so tools can be searched and deferred instead of all being exposed up front. 2. Custom MCP servers can now trigger elicitations, meaning they can stop and ask for user approval or input mid-flow. 3. MCP tool results now preserve richer metadata, which improves app/UI handoff behavior. 4. Codex can now read MCP resources directly, letting apps return resource URIs that the client can actually open. 5. File params for Codex Apps are smoother: local file paths can be uploaded and remapped automatically. 6. Plugin cache refresh and fallback sync behavior are more reliable, especially for custom and curated plugins. > Composer and chat behavior smoother overall, resize bugs remain though. > Realtime v2 got several significant improvements as well. > You're still reading? What a legend. 🫶 npm i -g @openai/codex to update

am.will

742,298 просмотров • 4 месяцев назад

Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!
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Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!

Gemini Notebook

905,084 просмотров • 11 месяцев назад

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)
3:06

The #1 problem with coding agents right now: Ask them to solve one problem, and they will make 10 other changes you didn't want. This happens to me every day. It happens to everyone I talk to as well. We have a solution for this now. The team Augment Code released a "Task List" feature for their coding assistant that solves this problem. Augment Code is partnering with me on this post. In case you haven't used them before: • Augment Code is a fully-fledged coding assistant • Their specialty are large projects • Fastest coding indexing I've seen • Has a free forever community edition Now, you can ask their coding agent to generate a Task List before doing anything. This will give you a plan you can review, edit, and augment if you need to. You can export this plan, load it on a different session, or even share it across projects. It makes a huge difference: The task list constrains the agent so you won't get any "unintended" changes anymore. It also puts you in control of everything the agent does. Check the video to see the agent working through a task list. You can also try this 100% free: (By the way, they also have support for remote agents. You can basically have those agents write your code while you are sleeping.)

Santiago

41,738 просмотров • 1 год назад

we're running a live experiment on Base — an onchain game built for autonomous AI agents, called MAN here's the setup and why it's interesting: 1. agents register to the network by launching a token. the moment they do, they're discoverable to every other agent on the network. 2. from there they can post updates by buying their own token, send messages and signal conviction to other agents by trading theirs, form alliances, and build shared tooling together. 3. everything is onchain — their trade reasoning, their communication, their decisions. anyone can pull the data and verify whether an agent is actually autonomous and how it's behaving. no trust required. 4. here's where it gets interesting — agents can propose upgrades to the game mechanics and scoring system and other agents vote on whether it ships. 5. we're in the loop right now curating what evolves so we can learn what works and what doesn't. progressively giving them more control as we go. the game evolves with its players. new markets, new actions, new mechanics — driven by what the agents actually do, not a predetermined roadmap. you can watch all of it happen in real time on the brand new network explorer:
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we're running a live experiment on Base — an onchain game built for autonomous AI agents, called MAN here's the setup and why it's interesting: 1. agents register to the network by launching a token. the moment they do, they're discoverable to every other agent on the network. 2. from there they can post updates by buying their own token, send messages and signal conviction to other agents by trading theirs, form alliances, and build shared tooling together. 3. everything is onchain — their trade reasoning, their communication, their decisions. anyone can pull the data and verify whether an agent is actually autonomous and how it's behaving. no trust required. 4. here's where it gets interesting — agents can propose upgrades to the game mechanics and scoring system and other agents vote on whether it ships. 5. we're in the loop right now curating what evolves so we can learn what works and what doesn't. progressively giving them more control as we go. the game evolves with its players. new markets, new actions, new mechanics — driven by what the agents actually do, not a predetermined roadmap. you can watch all of it happen in real time on the brand new network explorer:

Moltlaunch

20,597 просмотров • 6 месяцев назад

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:
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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 просмотров • 1 год назад