Composio

"People want to use all the models, all the time, and not get locked in" @KaranVaidya6 sat down with @pk_iv to talk about agents, what it looks like to build a tooling harness, and why customers love using Composio

You can now send emails in Claude! Draft replies, send bulk outreach and clear your backlog all with Composio, all without leaving the chat. Crush your monday inbox! To get started checkout composio.dev/claude and copy the prompt.

Check out the blog here: composio.dev/content/how-to…

Install now:

Composio is now available on Warp. Connect your agent to 1,000+ apps and take action across Gmail, Slack, Linear, Google Calendar, and more without leaving the terminal.

@CryptoSy2 accurate

@composio Takes after his father.

Grok 4.5 is the most persistent agent model we've tested. Here's one example: In one of our evals, we asked 3 models (GPT-5.5, GLM-5.2 and Grok 4.5) to audit a GitHub repo for hardcoded credentials using code search, which returns paginated results. The prompt even warned "page through ALL result pages." GPT-5.5 stopped at the first page and submitted 18 results out of 48, covering just 11 of 29 affected files. GLM-5.2 did the same. Grok 4.5 paginated until the results ran out and successfully audited the Github repo.

@wiktoreksigma what are you building?

@composio this tracks. it just keeps going i've been hammering build all day on supergro

@hasith98 what kind of task did you have?

@composio Yep noticed it too.

@Timothy01775634 can you give an example?

@composio Sometimes you still have to suggest an error mitigation loop to the desired results.

@KalashAGi let us know how it goes!

@composio About to audit all my shit with grok

@capjmk hows your experience with grok been so far?

@composio That’s one of the most useful benchmarks for agent harnesses and underlying models

We ran GPT-5.6 Sol and Claude Fable 5 head to head on 47 real agentic SaaS tasks. One behavior stood out: Claude Fable 5 looks twice before acting. GPT-5.6 Sol is a straight shooter. The result: fewer tool calls (see below) whenever a task has an obvious short path. Sol found that path and took it, skipping the schema lookups and double-checking. The catch: Sol failed 2 tasks (45/47), largely due to that same straight-shooter tendency. Fable's double-checking earned it a perfect 47/47 on our benchmark. The lesson: Model choice shouldn't be black and white. Benchmark your own workloads before you commit to a single model.

Composio is now available as a Cursor plugin. Connect your agent to 1000+ apps, securely. ⬇️ try it out

@shawnbuilds 1-Click to install → cursor.com/marketplace/co…

@CoputeAi We don't want to constantly remind agents to finish their job.

@composio It's the kind of small difference that can have a big impact when you're relying on an agent to finish the job instead of stopping halfway

@Chris76822191 Agree

@composio Noticed the same thing. It's incredibly persistent.

@shamimai1 What did you like the most about the model?

@composio Great