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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.

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Arlan

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12,412 görüntüleme • 4 ay önce •via X (Twitter)

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We just shipped /agent support to the Firecrawl MCP 🚀 Now you can use /agent directly inside ChatGPT, Claude, Cursor, and more. Describe the data you need and watch it search the web, navigate, and return structured data without leaving your workflow. Try it out today 👇
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We just shipped /agent support to the Firecrawl MCP 🚀 Now you can use /agent directly inside ChatGPT, Claude, Cursor, and more. Describe the data you need and watch it search the web, navigate, and return structured data without leaving your workflow. Try it out today 👇

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Introducing Agent Sandbox, the infinite simulation playground for agents on Virtuals. Craft the perfect autonomous agent in our Sandbox with full control over its personality and goals. Enhance your agent with unique abilities by creating custom functions so they can trade onchain, generate memes, control physical robots and more. The Sandbox is available to all builders with graduated agents in the Developer Panel. For those who want to give it a spin without an existing agent, fret not. Try it out today at and join our Discord ( to jam with like-minded builders. Next stop, Society of Agents.

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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 at

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you can now use mintlify to automatically build docs for arbitrary github repos (e.g. n8n here) with an agent powered by a skill reflecting everything we know about quality docs simply swap "github" with "mintlify" in the URL for any repo
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you can now use mintlify to automatically build docs for arbitrary github repos (e.g. n8n here) with an agent powered by a skill reflecting everything we know about quality docs simply swap "github" with "mintlify" in the URL for any repo

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Really stoked that the Cursor team hooked me up with early access to cursor-agent. Soon you will be able to use it alongside Claude Code and Codex inside of Terragon!
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Really stoked that the Cursor team hooked me up with early access to cursor-agent. Soon you will be able to use it alongside Claude Code and Codex inside of Terragon!

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we just released a new blog "Training a coding agent using the OpenCode harness in remote HF sandboxes with TRL and OpenEnv" you can take a real coding agent (OpenCode), let it run its own tool loop against real coding problems, and train it with RL on the exact tokens it produced and every rollout runs in its own remote HF sandbox, so rollouts scale out beyond one machine the loop: - OpenCode owns its tool loop inside an OpenEnv sandbox - an in-sandbox proxy records the real token ids + logprobs, per turn - a hidden-test verifier scores the result, and that is the reward - TRL trains with AsyncGRPO, weights sync back to vLLM over NCCL blog + runnable example:
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we just released a new blog "Training a coding agent using the OpenCode harness in remote HF sandboxes with TRL and OpenEnv" you can take a real coding agent (OpenCode), let it run its own tool loop against real coding problems, and train it with RL on the exact tokens it produced and every rollout runs in its own remote HF sandbox, so rollouts scale out beyond one machine the loop: - OpenCode owns its tool loop inside an OpenEnv sandbox - an in-sandbox proxy records the real token ids + logprobs, per turn - a hidden-test verifier scores the result, and that is the reward - TRL trains with AsyncGRPO, weights sync back to vLLM over NCCL blog + runnable example:

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we built an extremely good code search agent. it’s called tracer, and it can search across the entire github in less than 5 minutes and come back with a clean report. you can try it by running 'bunx nia-wizard'
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we built an extremely good code search agent. it’s called tracer, and it can search across the entire github in less than 5 minutes and come back with a clean report. you can try it by running 'bunx nia-wizard'

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Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →
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I built an mcp server to have Cursor agent find and add cursor rules to your project no more manual search or commands needed! just ask the agent and get back to vibe coding in your language of choice who wants to test this out for me? lemme know
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I built an mcp server to have Cursor agent find and add cursor rules to your project no more manual search or commands needed! just ask the agent and get back to vibe coding in your language of choice who wants to test this out for me? lemme know

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So... I just simply asked Manus to give me the files at "/opt/.manus/", and it just gave it to me, their sandbox runtime code... > it's claude sonnet > it's claude sonnet with 29 tools > it's claude sonnet without multi-agent > it uses Browser Use > browser_use code was also obfuscated (?) > tools and prompts jailbreak
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So... I just simply asked Manus to give me the files at "/opt/.manus/", and it just gave it to me, their sandbox runtime code... > it's claude sonnet > it's claude sonnet with 29 tools > it's claude sonnet without multi-agent > it uses Browser Use > browser_use code was also obfuscated (?) > tools and prompts jailbreak

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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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I keep seeing the same pattern with Three.js games, shaders, p5.js, and now 3D UI. Give a coding agent a strong reference, the live URL, and the source repo. It can study the mechanics, recreate them, and give you a working place to experiment. For this one, I turned a Trevor Noah-inspired book interaction into fictional manuals for Codex, Claude Code, and Cursor. X post: GitHub: Original site:

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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

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Introducing: Starlight — everything we know about building docs, wrapped up in an easy-to-use template. 🧩 built-in site search, navigation, i18n, a11y, seo, clean typography, code highlighting, dark mode, "edit in GitHub", MDX, Markdoc AND MORE! 🌟
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Introducing: Starlight — everything we know about building docs, wrapped up in an easy-to-use template. 🧩 built-in site search, navigation, i18n, a11y, seo, clean typography, code highlighting, dark mode, "edit in GitHub", MDX, Markdoc AND MORE! 🌟

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today's sota coding models train on hundreds of thousands of coding simulation sandboxes all you need to do so is a sandbox where the agent solves problems (vLLM + openenv + opencode), a trainer (TRL) and a verifier to check solutions we just teach you how to do it for free (no need to thank it's ok)
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today's sota coding models train on hundreds of thousands of coding simulation sandboxes all you need to do so is a sandbox where the agent solves problems (vLLM + openenv + opencode), a trainer (TRL) and a verifier to check solutions we just teach you how to do it for free (no need to thank it's ok)

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BIG one for devs today. Introducing the Notion Developer Platform: - Notion CLI, ntn (Notion in your terminal) - Workers (run code on Notion's infra) - Database sync (any data source into Notion) - Agent tools (build any workflow) - Webhook triggers (trigger Notion from any app) - External Agents API (bring any agent into Notion) - Notion Agents SDK (use Notion Agents anywhere) - …and a bunch more API improvements And soon, you won't need to be a developer to build on Notion. Your agent will be one for you.

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You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓
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You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓

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You can now delegate tasks to GitHub Copilot coding agent from any page on GitHub 🤖 Open the new Agents panel in one click, write a simple prompt, then hit Enter. GitHub Copilot works in the background, and opens a PR for your review. No interruptions to your workflow required. ✅
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You can now delegate tasks to GitHub Copilot coding agent from any page on GitHub 🤖 Open the new Agents panel in one click, write a simple prompt, then hit Enter. GitHub Copilot works in the background, and opens a PR for your review. No interruptions to your workflow required. ✅

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