正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

1/5 🚀 PilotDeck is now live — the open-source AI agent OS built for all scenarios！ Built by TsinghuaNLP × ModelBest × OpenBMB × AI9stars, PilotDeck is here for full memory transparency, intelligent cost routing, and agents that never stop working for you. 🔗 Show Case: 💻 GitHub： One... show more

OpenBMB

8,862 subscribers

286,472 次观看 • 2 个月前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Movez

12,282 次观看 • 3 个月前

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

Avid

46,150 次观看 • 11 天前

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

OpenBMB

13,996 次观看 • 7 个月前

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

ChainOpera AI

550,871 次观看 • 1 年前

🦞 CLAWLETT is live on Base. CA: 0xc34803d003f582b122b9575c14007373ad8c9383 Agent Algo just evolved into Clawlett, the open-source non-ruggable wallet for all AI agents built on OpenClaw🦞. AGENT holders/stakers: Claim 1:1 at by connecting the wallet in which you are holding/staking AGENT. Trade CLAWLETT at Read all the info in the article below 👇

🦞 CLAWLETT is live on Base. CA: 0xc34803d003f582b122b9575c14007373ad8c9383 Agent Algo just evolved into Clawlett, the open-source non-ruggable wallet for all AI agents built on OpenClaw🦞. AGENT holders/stakers: Claim 1:1 at by connecting the wallet in which you are holding/staking AGENT. Trade CLAWLETT at Read all the info in the article below 👇

Clawlett

14,649 次观看 • 5 个月前

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

MTS

26,902 次观看 • 3 个月前

Introducing the new Aomni - an AI agent that builds other agents for you. Now you can go from idea -> fully working agent with 1 prompt. We provide all the tools and contact datasets to build agents that excel at revenue gen activities. Here are some cool use cases 🧵

Introducing the new Aomni - an AI agent that builds other agents for you. Now you can go from idea -> fully working agent with 1 prompt. We provide all the tools and contact datasets to build agents that excel at revenue gen activities. Here are some cool use cases 🧵

David

71,729 次观看 • 1 年前

Confused by AI Agents and how to PROFIT BIG? Here is a beginners guide to trading AI Agents! I also show you 15 AI Agent tokens across BASE, SOL, & AVAX that are ripe for buying on this dip. (BONUS: One of these AI Agents wants to KILL threadguy!!!)

Confused by AI Agents and how to PROFIT BIG? Here is a beginners guide to trading AI Agents! I also show you 15 AI Agent tokens across BASE, SOL, & AVAX that are ripe for buying on this dip. (BONUS: One of these AI Agents wants to KILL threadguy!!!)

'Stache

13,744 次观看 • 1 年前

this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

this is f**king insane. Jack Dorsey just open sourced a free tool for running a one-person business. the GitHub repo already has 14.4K stars. It lets you: → run your own server → keep chat, search, Git, and automation in one place → add AI agents that work like teammates → decide exactly what each agent can do no monthly subscriptions. just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

MIKE

699,992 次观看 • 12 天前

Today we're launching Macro 1.0 — a new office suite for the intelligence age. Macro is a unified workspace for your entire company, your team and your agents. 1. Fully open source. Built in Rust + SolidJS. Self-host if you want. 2. Designed as a single system: email, messaging, docs, tasks, agents, calls, and CRM all @-linked together in one tab. 3. Unified team-level memory for agents built over emails, team chat, tasks, PR's and CRM. Access the memory from Macro or AI or external agents via MCP. We built Macro for ourselves because we wanted a single system for our whole company. We didn't want to get slowed down by rate limits and 2FA'ing into 17 different tabs. Let's take a look at each block 🧵👇

Today we're launching Macro 1.0 — a new office suite for the intelligence age. Macro is a unified workspace for your entire company, your team and your agents. 1. Fully open source. Built in Rust + SolidJS. Self-host if you want. 2. Designed as a single system: email, messaging, docs, tasks, agents, calls, and CRM all @-linked together in one tab. 3. Unified team-level memory for agents built over emails, team chat, tasks, PR's and CRM. Access the memory from Macro or AI or external agents via MCP. We built Macro for ourselves because we wanted a single system for our whole company. We didn't want to get slowed down by rate limits and 2FA'ing into 17 different tabs. Let's take a look at each block 🧵👇

macro.com

162,811 次观看 • 7 天前

🚨 Calling all developers: Fetch Coder is live. This AI-native coding assistant built for Web3 understands entire codebases in seconds, coordinates multi-file edits that actually work and seamlessly integrates with Agentverse by Fetch.ai for instant agent deployment. Go from idea → prototype → live autonomous agents faster than ever. This is coding built for Web3. Try it now:

🚨 Calling all developers: Fetch Coder is live. This AI-native coding assistant built for Web3 understands entire codebases in seconds, coordinates multi-file edits that actually work and seamlessly integrates with Agentverse by Fetch.ai for instant agent deployment. Go from idea → prototype → live autonomous agents faster than ever. This is coding built for Web3. Try it now:

Fetch.ai

93,806 次观看 • 10 个月前

🚀 MiniCPM enters the physical world — enabling robots to understand, remember, and act. We open-source MiniCPM-Robot, our first embodied AI model series, including: 🤖 MiniCPM-RobotManip — a 1.5B general-purpose Vision-Language-Action (VLA) model for robotic manipulation. 🐕 MiniCPM-RobotTrack — a compact model for real-world target tracking. ⚡ PhyAI — a high-performance inference framework built for embodied models. Together, they bring efficient, practical, and open embodied intelligence closer to real-world robots. ⭐ GitHub: 🤗 MiniCPM-RobotManip: 🤗 MiniCPM-RobotTrack:

🚀 MiniCPM enters the physical world — enabling robots to understand, remember, and act. We open-source MiniCPM-Robot, our first embodied AI model series, including: 🤖 MiniCPM-RobotManip — a 1.5B general-purpose Vision-Language-Action (VLA) model for robotic manipulation. 🐕 MiniCPM-RobotTrack — a compact model for real-world target tracking. ⚡ PhyAI — a high-performance inference framework built for embodied models. Together, they bring efficient, practical, and open embodied intelligence closer to real-world robots. ⭐ GitHub: 🤗 MiniCPM-RobotManip: 🤗 MiniCPM-RobotTrack:

OpenBMB

329,827 次观看 • 29 天前

Is the "one size fits all" software model dead? In this episode of the GitHub Podcast, Cassidy and Kedasha explore the rise of personal software tools built by developers for themselves, and shared with the world through open source.

Is the "one size fits all" software model dead? In this episode of the GitHub Podcast, Cassidy and Kedasha explore the rise of personal software tools built by developers for themselves, and shared with the world through open source.

GitHub

17,494 次观看 • 5 个月前

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.

rohildev

27,345 次观看 • 1 年前

We’re excited to launch LLZK, an open-source intermediate representation (IR) for zero-knowledge circuits. Think LLVM, but for ZK. Built by Veridise and supported with a grant from the Ethereum Foundation, LLZK is now live on GitHub. Thread 🧵 1/4

We’re excited to launch LLZK, an open-source intermediate representation (IR) for zero-knowledge circuits. Think LLVM, but for ZK. Built by Veridise and supported with a grant from the Ethereum Foundation, LLZK is now live on GitHub. Thread 🧵 1/4

Veridise

11,048 次观看 • 1 年前

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.

Avi Chawla

94,290 次观看 • 9 个月前

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 次观看 • 4 个月前

Introducing Paygent.01 The quickest way to spin up an AI Agent that moves real money. Literally just one API key is need and you have your own personal AI Agent that can. - Pay your bills - Send money to that one relative - Go out and ask for money Fully open-source. Built using the AI SDK and Payman.

Introducing Paygent.01 The quickest way to spin up an AI Agent that moves real money. Literally just one API key is need and you have your own personal AI Agent that can. - Pay your bills - Send money to that one relative - Go out and ask for money Fully open-source. Built using the AI SDK and Payman.

tyllen

18,772 次观看 • 1 年前

Introducing Coldtea. The ADE for shipping self-driving software. Purpose-built for the entire software lifecycle. Other IDEs optimise for one thing: Build. Run more agents in parallel, ship faster, orchestrate better. But software engineering is not just about building. Coldtea AI brings your coding agents, agentic end-to-end testing, and production monitoring agents into ONE development environment, so you can move at agent speed without breaking anything.

Introducing Coldtea. The ADE for shipping self-driving software. Purpose-built for the entire software lifecycle. Other IDEs optimise for one thing: Build. Run more agents in parallel, ship faster, orchestrate better. But software engineering is not just about building. Coldtea AI brings your coding agents, agentic end-to-end testing, and production monitoring agents into ONE development environment, so you can move at agent speed without breaking anything.

Ohans Emmanuel

432,376 次观看 • 6 天前

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

Om Patel

46,780 次观看 • 4 个月前