⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra
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youtube.com
Author
Latent Space
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Context
Composio, which connects AI agents to applications, describes tool reliability as something that requires ongoing maintenance. In the interview, its founders say the service manages authentication and application connections while using AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → behavior and user feedback to improve the tools agents receive.
The proposed feedback loop addresses failures discovered during use: an internal agent exercises integrations, users report unsuccessful tasks, and the team incorporates those cases into evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → and maintenance. The useful idea is that connecting an application once is only the beginning; the integration must keep adapting to the ways agents actually use it.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
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