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Institutional learning layer for every agent in your company
HQ: San Francisco, CA, United States | Founded: 2026 | Employees: 1 | Stage: Seed (Y Combinator S26) | Website: https://www.tryglen.com/
Glen is a memory layer for AI agents. It gathers everything an organisation's agents have already done — sessions from Claude Code, Codex and Cursor, plus Slack messages, code reviews, tickets, documents and call transcripts — and when a new agent starts a task, it finds the relevant history and feeds it in, so the agent does not repeat work or ask for context it should already have. The company reports this cuts token spending by about 29% and shortens tasks by about 21%, by adding the right context rather than more of it. Glen doubles as a searchable record of company work: highlight a line of code and ask why it is there, and Glen answers from the original agent session rather than guessing. It also turns repeated team habits into reusable skills, lets two people work on the same docume
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