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!show more

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:show more

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.show more

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 🫡show more

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”show more

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

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 CLIshow more

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-agentshow more

Fable 5 + Higgsfield MCP = a full marketing... team inside Claude. The most anticipated model in AI runs content pipelines and deep analysis. With /goal, /loop, and a Fable 5 agent council, agent-run marketing is about to take off. A month of campaign work ships in a day.show more

Introducing agent-desktop agent-browser, for your whole computer → Computer... Use for any coding agent → macOS, Windows and Linux → Runs in bg while you keep working → Agents use your computer in parallel, each with its own cursorshow more

experimenting putting an agent in a dock 🤔

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.show more

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.show more

Web search in Hermes Agent is now fast and... free. Perplexity built Fast Search for agents, and it is free for all Nous Portal tiers.show more

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 withshow more

Ling-3.0-flash, the new MoE model from Ant Ling, is... now free in Nous Portal for the next week! At 124B parameters and 5.1B active, it's quick to run and built for agent workloads: coding, search, research, and tool use. Try it free today atshow more

remember when Andrej Karpathy released autoresearch, where an agent... runs experiments in a loop on its own? well i packed his method into one prompt that connects Claude, ChatGPT, and Grok into a shared loop inside Roma - writes a check that can actually fail, first - splits the task into parts across your agents - routes research to Grok and architecture to Claude - loops each bot until it passes the check - syncs results to one shared to-do list - turns every mistake into a rule for next time - calls you only for the step that can’t be undone throw it at Roma with the task you’ve been putting off for a week, and you’ll see the difference in one run it’s insane how well this thing works, let me know if you want the full setupshow more

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⬇️show more

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!show more