Glen serves as a central layer that integrates all agents within a company, connecting sessions from tools like Claude Code, Codex, and Cursor with data from Slack, GitHub pull requests, tickets, documentation, and calls. It automatically retrieves relevant past context when a new agent begins a task, enhancing performance by providing accurate background information directly within the agent’s working space. This results in faster, more precise knowledge work at reduced cost. Glen enables teams to trace any line of code back to the original agent responsible, and search across every session conducted by the organization.
The system unifies transcripts across different platforms, allowing seamless handoffs between agents mid-task. It also functions as a collective organizational memory, accessible through various interfaces or by installing it on any agent. By preserving a continuous, lossless record of institutional experience, Glen supports the development of a compounding organization where digital labor becomes increasingly autonomous and informed by accumulated knowledge.