正在加载视频...

视频加载失败

返回首页

Introducing OpenResearch: run parallel research agents with any model Bring your own compute and your code + data stays with you A virtual lab on your machine

askalphaxiv's profile picture

alphaXiv

53,179 subscribers

32,864 次观看 • 1 个月前 •via X (Twitter)

LIVE

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

OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.
8:23

OPENCLAW + OLLAMA CAN NOW REPLACE YOUR AI API BILL WITH LOCAL AGENTS RUNNING ON YOUR OWN COMPUTER. No cloud servers, no sneaky API costs, and your private data stays on your machine.

0xMarioNawfal

180,518 次观看 • 5 个月前

Your code stays right here on your machine. 😎 Gemma 4 is now built-in to Android Studio, so you don’t need a third party provider to download. Using a local model lets agents run complex, multi-step code changes completely offline, with zero token quotas →
0:54

Your code stays right here on your machine. 😎 Gemma 4 is now built-in to Android Studio, so you don’t need a third party provider to download. Using a local model lets agents run complex, multi-step code changes completely offline, with zero token quotas →

Android Developers

24,081 次观看 • 9 天前

Introducing Warp Factories: open, flexible infrastructure for building cloud software factories. - Configure your factory as code - Use any model and any harness - Measure quality with evals and benchmarks on your own data - Built-in self-improvement and memory
8:56

Introducing Warp Factories: open, flexible infrastructure for building cloud software factories. - Configure your factory as code - Use any model and any harness - Measure quality with evals and benchmarks on your own data - Built-in self-improvement and memory

Warp

301,795 次观看 • 24 天前

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:
0:30

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:

Atai Barkai

38,367 次观看 • 1 个月前

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵
0:20

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵

CreateOS

13,952 次观看 • 2 个月前

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.
1:16

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.

Dhravya Shah

679,973 次观看 • 3 个月前

Introducing WrapdCode Claude Code with Bring Your Own Model 1. Use GPT, Gemini, Llama, Mistral - 300+ models 2. Same Claude Code UI, zero changes 3. Plug in your API key and go Stop being stuck on one model.
0:26

Introducing WrapdCode Claude Code with Bring Your Own Model 1. Use GPT, Gemini, Llama, Mistral - 300+ models 2. Same Claude Code UI, zero changes 3. Plug in your API key and go Stop being stuck on one model.

aditya

29,014 次观看 • 5 个月前

Here comes AutoClaw. We offer a new solution to run OpenClaw locally on your own machine. - Download and start immediately. No API key required. - Bring any model you like, or use GLM-5-Turbo, optimized for tool calling and multi-step tasks. - Fully local. Your data never leaves your machine. We're giving data control back to Claw users. Meet AutoClaw → Join the conversation →
0:48

Here comes AutoClaw. We offer a new solution to run OpenClaw locally on your own machine. - Download and start immediately. No API key required. - Bring any model you like, or use GLM-5-Turbo, optimized for tool calling and multi-step tasks. - Fully local. Your data never leaves your machine. We're giving data control back to Claw users. Meet AutoClaw → Join the conversation →

Z.ai

567,452 次观看 • 5 个月前

🚀 Introducing the first-ever Agent UI 🚀 This is hands-down my favorite product! Chat with local Agents tailored to my needs. Local memory, storage, knowledge and tools 🔥 ⚡️ Your data, your control 🧠 Compatible with any LLM 🤝 Run multiple agents or a team of agents
8:33

🚀 Introducing the first-ever Agent UI 🚀 This is hands-down my favorite product! Chat with local Agents tailored to my needs. Local memory, storage, knowledge and tools 🔥 ⚡️ Your data, your control 🧠 Compatible with any LLM 🤝 Run multiple agents or a team of agents

Ashpreet Bedi

69,015 次观看 • 1 年前

APPLE JUST SHOWED HOW TO RUN 10 AI AGENTS LOCALLY ON MAC - NO CLOUD, NO API KEYS, ZERO COSTS 00:10 Apple engineer says: "your data stays on your device, AI available anywhere at any time, zero usage costs" agent reads your code, checks GitHub, finds what needs attention and writes a report - all on your Mac, nothing goes to the internet 10 agents work simultaneously - one writes code, another tests, third fixes bugs - parallel with no queue built a full iPad app from scratch in 2 minutes, fixed its own mistakes and compiled without issues takes 5 minutes to set up - and you never pay again for a bot that runs 24/7
13:29

APPLE JUST SHOWED HOW TO RUN 10 AI AGENTS LOCALLY ON MAC - NO CLOUD, NO API KEYS, ZERO COSTS 00:10 Apple engineer says: "your data stays on your device, AI available anywhere at any time, zero usage costs" agent reads your code, checks GitHub, finds what needs attention and writes a report - all on your Mac, nothing goes to the internet 10 agents work simultaneously - one writes code, another tests, third fixes bugs - parallel with no queue built a full iPad app from scratch in 2 minutes, fixed its own mistakes and compiled without issues takes 5 minutes to set up - and you never pay again for a bot that runs 24/7

Noisy

526,276 次观看 • 2 个月前

introducing HermitClaw - a 24/7 Agent that lives (and can only access) a single folder on your desktop HermitClaw follows its own research curiosities, surfs the web, writes code - and will play with any file you drop in its folder all code and details below!
0:41

introducing HermitClaw - a 24/7 Agent that lives (and can only access) a single folder on your desktop HermitClaw follows its own research curiosities, surfs the web, writes code - and will play with any file you drop in its folder all code and details below!

Brendan Hogan

187,776 次观看 • 6 个月前

Introducing Instaline: give any agents a number, starting with Claude Code Dm me if you want to test it out or connect your agents with a number. Still working on it so expect a better launch soon!
1:38

Introducing Instaline: give any agents a number, starting with Claude Code Dm me if you want to test it out or connect your agents with a number. Still working on it so expect a better launch soon!

Xiangyi Li

60,897 次观看 • 1 年前

Introducing OpenScience. A better, open-source Claude Science. • Any model: GLM, Kimi, DeepSeek, Claude, GPT, your own fine-tune. Switching is one flag. • 250+ research skills across ML, comp bio, cheminformatics. All readable, editable, extensible. • No throttling, no gatekeeping, no one vendor deciding what science is okay. • Native Atlas integration: many agents, one shared reproducible research graph. • Runs on your infra. Your data stays yours. Scientific AI should be open. One company shouldn't own the tools the rest of us discover with, or decide who gets to.
1:15

Introducing OpenScience. A better, open-source Claude Science. • Any model: GLM, Kimi, DeepSeek, Claude, GPT, your own fine-tune. Switching is one flag. • 250+ research skills across ML, comp bio, cheminformatics. All readable, editable, extensible. • No throttling, no gatekeeping, no one vendor deciding what science is okay. • Native Atlas integration: many agents, one shared reproducible research graph. • Runs on your infra. Your data stays yours. Scientific AI should be open. One company shouldn't own the tools the rest of us discover with, or decide who gets to.

Synthetic Sciences (YC W26)

241,531 次观看 • 2 个月前

Using skills with lots of tool calls or research? In Visual Studio Code, you can now run skills in a dedicated sub agent so your main chat context stays clean and focused ⚡
0:42

Using skills with lots of tool calls or research? In Visual Studio Code, you can now run skills in a dedicated sub agent so your main chat context stays clean and focused ⚡

Visual Studio Code

18,463 次观看 • 3 个月前

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.
0:25

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,983 次观看 • 4 个月前

Your parallel agents needed scalable test coverage yesterday Introducing Offload: a Rust CLI that spreads your test suite across 200+ @Modal sandboxes, freeing your CPU to keep your agents shipping. On our Playwright suite, it took a 12 min run to 2, at $0.08 a run
0:35

Your parallel agents needed scalable test coverage yesterday Introducing Offload: a Rust CLI that spreads your test suite across 200+ @Modal sandboxes, freeing your CPU to keep your agents shipping. On our Playwright suite, it took a 12 min run to 2, at $0.08 a run

Imbue

101,862 次观看 • 5 个月前

manage your store with Perplexity Computer do market research, generate product images, and design a theme in parallel another day, another agent where you can run your business
0:25

manage your store with Perplexity Computer do market research, generate product images, and design a theme in parallel another day, another agent where you can run your business

Shopify

117,665 次观看 • 3 个月前

We just built AWS Lambda with a browser built-in. Introducing Functions, a new compute paradigm that co-locates your code and browsers to build faster browser agents. Functions lets your team focus on the product, while we handle the infrastructure.
0:53

We just built AWS Lambda with a browser built-in. Introducing Functions, a new compute paradigm that co-locates your code and browsers to build faster browser agents. Functions lets your team focus on the product, while we handle the infrastructure.

Browserbase

63,284 次观看 • 7 个月前