According to a recent LinkedIn post from Composio, the company is using an internal autonomous agent system called Cortex to manage more than 1,000 toolkits and 42,000 tools. The post highlights ongoing challenges with incomplete or outdated API documentation, mismatched OpenAPI specifications, and unannounced endpoint deprecations at this scale.
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The post suggests Cortex is designed to autonomously discover, build, test, and maintain integrations through a workflow that includes Finder, Builder, testing, and Fixer components, all routed via GitHub pull requests. A video linked in the post, featuring an integration engineer, reportedly walks through the system architecture, a Slack integration example, cost spikes during coverage expansion, and issues such as deprecated endpoints and hallucinations.
For investors, this focus on automation and internal tooling may indicate a strategic emphasis on scalability and cost efficiency in Composio’s infrastructure. If effective, such a system could lower ongoing integration maintenance costs, improve reliability of the company’s platform, and enhance its ability to support a broad range of third-party tools.
The description of cost spikes and mitigation lessons also points to active investment in optimizing operational expenditure as coverage grows. In a competitive integration and automation space, demonstrating the ability to manage tens of thousands of tools autonomously could strengthen Composio’s differentiation and support future revenue growth, though the post does not provide quantitative financial metrics or timelines.

