Glen

What Glen Does

Glen is a shared memory platform designed specifically for AI coding agents like Claude Code, Codex, Cursor, and other development assistants. It acts as a persistent knowledge layer that captures, stores, and intelligently surfaces relevant context from your entire team's coding sessions — enabling your AI agents to learn from past work and avoid repeating mistakes or research.

The Problem It Solves

AI coding agents today suffer from amnesia: every session starts from scratch, forcing developers to repeatedly explain the same context, re-research solved problems, and watch agents make mistakes that teammates have already debugged. Glen eliminates this friction by building a living memory that grows smarter with every session your team runs.

Key Features & Capabilities

• Automatic Context Injection: Glen runs silently in parallel, detecting when your agent needs relevant information and steering it toward better solutions without manual prompting
• Team-Wide Learning: Every developer's sessions contribute to a shared knowledge base — when one teammate solves a problem, the whole team's agents benefit
• Source-Aware Permissions: Memories retain the access controls of their source (public Slack channels, shared sessions, etc.), so agents only surface what each user is cleared to see
• Integration Hub: Connects to Slack, GitHub, and other tools to build context from your actual workflows, not just code
• Session Management: Browse, search, take over, and share agent transcripts across your team
• Artifact Library: Reports, runbooks, and specs generated by agents can be kept private or shared at the team/org level
• Incognito Mode: One-click option to keep sensitive sessions out of the memory store entirely

Performance Impact

Internal benchmarks show Glen delivers measurable improvements: 21% faster task completion and 29% fewer tokens consumed per task when replaying 100 merged PRs with Glen's memory enabled versus without.

Who It's For

Glen works for solo developers who want to remember their own sessions and scales to entire engineering organizations. It's built for teams using AI coding agents daily — from startups to enterprises — who want their agents to get smarter over time instead of starting fresh every session.

Integration & Workflow

Glen integrates via CLI installation or prompt paste into your existing agent (Claude Code, Codex, Cursor, Pi, or custom MCP clients). It reads public Slack channels and shared team sessions only — never DMs or private channels unless explicitly shared. GDPR-compliant export and deletion are supported.

What Sets Glen Apart

Unlike generic RAG systems or session loggers, Glen is purpose-built for coding agents with team collaboration at its core. It surfaces skills distilled from real work, lets you query your "company brain" from Slack or any MCP client, and enables PR review with the agent that wrote the code. Access control runs per-memory at recall time, making it safe for organizations with compliance requirements.