Composio retweeted
Agents have a trust problem.
Today’s models can do most work. What they need is the right boundaries. In traditional software, those were set at build time. With agents, they have to be set and enforced at runtime.
Today we’re introducing Composio Firewall, the runtime boundary for agents.
Millions of users and developers already use Composio as the runtime for their agents - giving agents tools, auth, and sandboxed execution. Now with our agent firewall every action an agent takes is evaluated using Jev and custom SLMs tuned by Composio based on real-world usage data.
The firewall strengthens that existing boundary in both directions, checking the actions agents take and the information coming back to them through Composio.
The advantage of the runtime boundary is that Composio Firewall verifies that the agent respects user intent and the boundaries set by the developer and user. Additionally, this provides the safety layer required to protect the user against malicious prompt injection as well as other attacks.
Composio Firewall is live now for all Composio developers.
Check it out at composio.dev/firewall
OpenDots is an amazing product!
OpenDots 🤝 @Composio
Your agents can now get access to any app.
Connect your first one now 👇
We just launched Composio Instant on Product Hunt!
Ask us anything there: producthunt.com/products/com…
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
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
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
See the full Composio Benchmark here:
composio.dev/bench/composio-…
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.
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
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
Composio retweeted
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 👇
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…
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;)
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 🧵🧵🧵




















