@try_glen

Shared learning for all AI agents in your org

San Francisco
Joined April 2026
Check the comments on how to apply for access
Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.
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I’m joining YC S26 as a solo founder. I’m building Glen, shared memory that becomes shared expertise. Glen introduces a new class of memory system for agents. Today’s memory systems are built for the individual. Glen enables anyone’s agent to take actions like the domain experts on your team. Anything taught to one agent, can be accessed by anyone’s agent. Now your intern can write copy like your head of growth, code like your principal engineer, and interface with Ashby over MCP like your best recruiter. Follow me and @try_glen for updates. Join the waitlist below.
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