Your agent is smart. Its tools should be too. Check composio.dev

build on top of us ➡️
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We’re giving away $1 million to agents. Introducing Composio Instant: the easiest way for agents to pay for their own tools. Claim your agent's share: composio.dev/instant
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The @Composio x @Cline x @p0 Hackathon is in progress! Just 1hr30 minutes left to build! First place prize is an @Nvidia DGX Spark! Let's see who wins!
Have you registered yet?! One week from today, we're hosting a hackathon with our friends from @cline and @p0 - come and build an agent with us, open source it, and win some prizes! Register here: luma.com/m8euvq9n?v=2
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Proud to power such an awesome product!
Day 3 of our week of launches: Connected accounts + authenticated browser access. Grep already includes over 100 data integrations out of the box - no logins needed. But as our agents took on more automation, it became clear that customers needed a way to add their own integrations, APIs, and even internal tools with no MCP or API connection. That's why we're excited to team up with @composio to bring over 1,000 integrations to @GREPdotAI for all your favorite SaaS products, including Gmail, Calendar, Outlook, Notion, Salesforce, and much more. Customers can also add their own custom APIs and MCPs to Grep's agents for tools without a built-in integration. But not every product or application has an API or MCP, like internal tools, legacy software, and government-run databases. For those use cases, we're also launching authenticated browser access for agents. Just log in to any web app once, and we securely store your credentials in an encrypted vault so your agents can use the application for automation. If you don't want your credentials stored, you can also log in manually every time the session expires. Now, Grep agents can automate any online application or website and access any online data source, reducing the repetitive work that slows down your business. For example, a customer onboarding onto a fintech might hit a manual review step because a compliance screening alert flags their name as similar to one on a sanctions list. An agent can pull compliance alerts from a case queue in Salesforce, log in to a legacy screening solution like Nice Actimize to disposition the alerts using deep research and Grep's data integrations, and then send RFIs to customers via email when there isn't sufficient evidence. Check it out at Grep.ai
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We ran Cline through Composio Benchmark, an eval that measures stateful tool use across workflows with multiple connected apps. Cline + GPT 6 Astra passed 23/29 - the highest score of any harness we’ve tested with Astra.
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You can try multi-app agentic work in Cline with their new Connectors feature, which allows you to easily connect apps like Gmail, Slack, Linear, and more through Composio. cline.bot/desktop
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Coinbase for Agents is now live on Composio!
Coinbase for Agents is now live on Composio. @Composio connects your AI agents to more than 1,500 apps. Build multi-app workflows to trade crypto, stocks and derivatives.
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Have you registered yet?! One week from today, we're hosting a hackathon with our friends from @cline and @p0 - come and build an agent with us, open source it, and win some prizes! Register here: luma.com/m8euvq9n?v=2
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This week, we added over 21 new integrations to Composio, bringing the total to 1,604 apps. Use them with Claude, Grok Bot, Codex, Hermes, and more; or add them to your own agent with a few lines of code.
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We're teaming up with Cline and Parallel for an Open Source AI Week hackathon. Join us Oct 19 in San Francisco to build an agent or AI tool, with inference and tool call credits to get you started. Open source your work and share it. Register here: luma.com/m8euvq9n
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This week, we added over 21 new integrations to Composio, bringing the total to 1,596 apps. Use them with Claude, Codex, Hermes, OpenClaw, and more; or add them to your own agent with a few lines of code.
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Powered by Composio
1/ Cline Desktop now has Connectors (beta). Connect Gmail, Slack, Google Calendar, Linear, Sentry, Notion and more in one click. Cline gets tools to use these apps to retrieve context and act on your behalf.
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We have a Stitch MCP. We have a Stitch SDK. But, we don't have a Stitch CLI. Well, not until now. Introducing the @google/stitch CLI: 🔷 Connect to your local coding agents 🔷 Generate screens and design systems 🔷 Send a local dev server snapshot to Stitch Do it all without leaving the terminal or better yet, ask your favorite harness like @antigravity 😎 Learn more 👇
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Composio retweeted
We are launching Open Dots, run the same capabilities in 1/10th of the cost OpenAI shipped Dot yesterday for Pro users. Ours is open source, runs on your Mac and cheaper Here's how it works: - each dot has its own browser that stays logged in securely - it can use and setup triggers on your Gmail, Calendar and 1,500 other apps - you can call it and give it things to do while you talk - dots can coordinate and schedule reminders built with @composio @OpenRouter free and open source: github.com/composio-communit…
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Composio retweeted
How time flies. I've been @Composio 8 months now building out our content engine and podcast: interviewing founders about what they're building. Season 3 starts soon and it'll be different. Every episode is one company, one department, filmed inside. Less "what do you think about AI," more what does it actually do here daily. I'll be asking questions like: -How much of your product is built by your own agent -What you automated and had to take back -What roles you stopped hiring for -What you'd do first at a slower company If you're a company in San Francisco (or Toronto;)) and you'd let a camera in, DM ME! Episode 1 is a works in progress right now;)
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We tested 6 AI models on 30 challenging agent tasks: GPT-6 Astra, Opus 5.5, GPT-6 Sol, Pareto 26.9, DeepSeek V4 Pro, and GLM 5.3 Flash. Sol matched Opus’s score, finished faster, and cost about a quarter as much per successful task. Here’s how all 6 models compared 🧵🧵🧵
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One takeaway: models that completed the same number of tasks could cost very different amounts. Pareto and Astra each completed 24/30 tasks, but Astra cost about 3× as much per successful task. Sol and Opus each completed 22/30 tasks, but Sol cost about a quarter as much.
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Models struggled with vague, multi-step tasks like “Can you sync the support tickets?” That required using email, a spreadsheet, and Slack. Of 14 such tasks, no model completed 6. Astra and Pareto solved the other 8; Sol and Opus solved 6 each; DeepSeek solved 2.
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