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Introducing Exa Deep: putting an agent inside every search For each query, an agent runs in a loop until it gathers all information, then returns structured output. Evals show Deep is Pareto optimal at 4-60s latency, ideal for quick, cost-efficient research!

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Exa

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89,224 görüntüleme • 3 ay önce •via X (Twitter)

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Introducing exa-code, a big step towards eliminating LLM code hallucination. We indexed 1B+ docs pages, Github repos, StackOverflow posts, and more. Given a query, exa-code initiates a hybrid search over this data, chunks it, and returns a concatenated, token-efficient string. In our code hallucination eval, exa-code outperforms every popular web search tool (including Exa!). Available for free: How we built it:
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Introducing exa-code, a big step towards eliminating LLM code hallucination. We indexed 1B+ docs pages, Github repos, StackOverflow posts, and more. Given a query, exa-code initiates a hybrid search over this data, chunks it, and returns a concatenated, token-efficient string. In our code hallucination eval, exa-code outperforms every popular web search tool (including Exa!). Available for free: How we built it:

Exa

206,536 görüntüleme • 8 ay önce

We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.
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We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.

Arlan

12,412 görüntüleme • 2 ay önce

An AI agent for Programmatic SEO: > It basically figures out cool pSEO ideas > you pick the best from its proposals > the agent builds the template > the agent curates all the data by scraping entire internet with a deep deep search 100% on autopilot!
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An AI agent for Programmatic SEO: > It basically figures out cool pSEO ideas > you pick the best from its proposals > the agent builds the template > the agent curates all the data by scraping entire internet with a deep deep search 100% on autopilot!

John Rush

20,245 görüntüleme • 6 ay önce

Not every task needs the same model. A quick summary doesn't need the same horsepower as a deep research question — and it shouldn't cost the same either. Now, you can now easily compare models for your Custom Agent on speed, intelligence, and cost 🫡
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Not every task needs the same model. A quick summary doesn't need the same horsepower as a deep research question — and it shouldn't cost the same either. Now, you can now easily compare models for your Custom Agent on speed, intelligence, and cost 🫡

Notion

32,420 görüntüleme • 3 ay önce

The Exa MCP is now officially available in ChatGPT! Exa gives ChatGPT access to unique data sources like people, companies, papers, and more. We find it particularly useful inside of Deep Research. To install, search “Exa” in “Apps”
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The Exa MCP is now officially available in ChatGPT! Exa gives ChatGPT access to unique data sources like people, companies, papers, and more. We find it particularly useful inside of Deep Research. To install, search “Exa” in “Apps”

Exa

41,485 görüntüleme • 1 ay önce

The future of finance isn’t closed. It’s open source. Meet Dexter, a deep research agent built in public. It’s crushing evals, improving fast, and every line of code is yours. Finance belongs to everyone.
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The future of finance isn’t closed. It’s open source. Meet Dexter, a deep research agent built in public. It’s crushing evals, improving fast, and every line of code is yours. Finance belongs to everyone.

virat

53,272 görüntüleme • 6 ay önce

Introducing agent-browser chat agent-browser is now a browser agent. → One-shot: agent-browser chat "open google, search for dogs" → Interactive: agent-browser chat → Built-in AI chat in the dashboard → Execute any agent-browser command → Use agent-browser as a sub-agent
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Introducing agent-browser chat agent-browser is now a browser agent. → One-shot: agent-browser chat "open google, search for dogs" → Interactive: agent-browser chat → Built-in AI chat in the dashboard → Execute any agent-browser command → Use agent-browser as a sub-agent

Chris Tate

90,926 görüntüleme • 2 ay önce

i just open-sourced one of our internal GTM skills introducing the /company-research skill ask your agent to build you a target account list - it finds prospects that fit your ICP and runs deep research on every company via the Browserbase CLI
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i just open-sourced one of our internal GTM skills introducing the /company-research skill ask your agent to build you a target account list - it finds prospects that fit your ICP and runs deep research on every company via the Browserbase CLI

Jay

89,048 görüntüleme • 1 ay önce

Today, we're launching 4 official partner skills on to improve agent capabilities: - Get an inbox with AgentMail (YC S25) - Make any payment with the Link CLI - Deep research people & companies with Exa - Analyze product insights with Amplitude
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Today, we're launching 4 official partner skills on to improve agent capabilities: - Get an inbox with AgentMail (YC S25) - Make any payment with the Link CLI - Deep research people & companies with Exa - Analyze product insights with Amplitude

Browserbase

29,091 görüntüleme • 21 gün önce

I've also been building an interactive chart tool for my research agents. All powered by MCPs! It integrates notes, agent sessions, memory, etc. Results are only based on my recent research agent sessions but I am building a fix for that too.
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I've also been building an interactive chart tool for my research agents. All powered by MCPs! It integrates notes, agent sessions, memory, etc. Results are only based on my recent research agent sessions but I am building a fix for that too.

elvis

10,659 görüntüleme • 3 ay önce

Introducing Epstein Agent. I built an open source AI agent that uses Nozomio Labs to index and search all available Epstein files. 100M words of publicly released documents.
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Introducing Epstein Agent. I built an open source AI agent that uses Nozomio Labs to index and search all available Epstein files. 100M words of publicly released documents.

Arlan

14,760 görüntüleme • 5 ay önce

Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with
0:19

Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with

Virat Singh

317,057 görüntüleme • 8 ay önce

Manually DCA’ing? Now, there's an agent for that! Introducing the "Surge & Purge Agent" built with ConsoleKit 🤖 Try now: Here's how it works⬇️
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Manually DCA’ing? Now, there's an agent for that! Introducing the "Surge & Purge Agent" built with ConsoleKit 🤖 Try now: Here's how it works⬇️

Brahma

11,167 görüntüleme • 1 yıl önce

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!
0:15

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 görüntüleme • 1 yıl önce

Go to to explore wikis for the most popular open source repos. Turn on Deep Research for agent-powered in-depth answers (vid sped up).
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Go to to explore wikis for the most popular open source repos. Turn on Deep Research for agent-powered in-depth answers (vid sped up).

Cognition

26,080 görüntüleme • 1 yıl önce

Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!
0:12

Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!

swarms

32,313 görüntüleme • 1 yıl önce

My Task Agent got an update 🧠 Schedule tasks for your agent to complete every hour or every day
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My Task Agent got an update 🧠 Schedule tasks for your agent to complete every hour or every day

griffain

77,697 görüntüleme • 1 yıl önce

"Sam Merrill is putting on a show!" HE'S 7-FOR-7 FROM DEEP AT HALFTIME 🚨
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"Sam Merrill is putting on a show!" HE'S 7-FOR-7 FROM DEEP AT HALFTIME 🚨

NBA

5,042,184 görüntüleme • 4 ay önce

Unlock cutting-edge market & scientific intelligence with Caesar Agents 🧠⚡ The Warden Agent Hub recently expanded with two high-performance research agents, powered by Caesar: an advanced reasoning engine built for deep and crypto research.
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Unlock cutting-edge market & scientific intelligence with Caesar Agents 🧠⚡ The Warden Agent Hub recently expanded with two high-performance research agents, powered by Caesar: an advanced reasoning engine built for deep and crypto research.

Warden

14,379 görüntüleme • 5 ay önce

Introducing Agent Device: token‑efficient iOS & Android automation for AI agents 𝚗𝚙𝚡 𝚊𝚐𝚎𝚗𝚝-𝚍𝚎𝚟𝚒𝚌𝚎
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Introducing Agent Device: token‑efficient iOS & Android automation for AI agents 𝚗𝚙𝚡 𝚊𝚐𝚎𝚗𝚝-𝚍𝚎𝚟𝚒𝚌𝚎

Michał Pierzchała

157,848 görüntüleme • 4 ay önce