Glean adds headless agent building for Claude Code, Cursor, and Codex
Glean has released a generally available feature allowing developers to build, test, and publish AI agents as code using popular coding environments like Claude Code, Cursor, and Codex. Announced on October 21, 2026, this "headless" workflow lets teams treat agents like standard software, utilizing version control, pull requests, and rollback capabilities within their existing development tools.
Key points
- Glean released headless agent building, allowing developers to create agents as code in Claude Code, Cursor, and Codex.
- Agents built via code run on Glean’s managed runtime, retaining access to its knowledge graph and 275+ enterprise sources.
- The workflow supports version control, testing, and rollback, treating agents like standard software with spec.yaml and instructions.md files.
The agents are defined by specific files, including a spec.yaml for configuration and an instructions.md for behavior, which can be stored alongside other code. Despite being built in external coding assistants, these agents run on Glean’s managed runtime, retaining access to the company’s knowledge graph, permissioned access to over 275 enterprise sources, and full audit trails. Glean states this approach provides deterministic control over agent steps and guardrails, appealing to teams that require rigorous software engineering practices for AI deployment.
The feature supports Auto mode agents, while Workflow mode agents must still be created in Glean’s visual builder. Developers install a specific Glean plugin for their chosen environment, authenticate via OAuth, and use a dedicated command to run and publish agents. Glean positions this as a way to apply familiar testing and review processes to AI agents, ensuring security and governance remain intact while offering the flexibility of a code-first workflow.
Glean Adds Headless Agent Building for Claude Code, Cursor and Codex
Unite.AI · 21 October 2026
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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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