Can it capture recurring community questions and feedback?

Yes. Agents record durable observations, the questions developers keep asking, the docs that confuse people, the feature requests that recur, and read them back when drafting answers or content, so patterns are acted on instead of forgotten.

Can the engineering side see the feedback we capture?

Yes. Glen is org-scoped, so observations DevRel agents write are readable by engineering agents in the same org, closing the loop between community signal and the roadmap.

Shared memory for developer relations teams

Developer relations lives at the intersection of product, community, and content: the questions developers keep asking, the rough edges in your docs, the demos that landed, the feedback you have promised to route back to engineering. As DevRel teams adopt AI agents to draft content, answer community questions, and triage feedback, each agent works without memory of what the team already knows, so it misses recurring questions and repeats answers the team has refined. Glen, shared memory for AI agents, gives your team's agents one shared, durable memory exposed as a single MCP tool, so community and product knowledge compounds rather than resetting.

DevRel is fundamentally about pattern recognition across many conversations: noticing that the same setup question comes up every week, that a particular concept always confuses newcomers, that a feature request keeps recurring. That signal is gold for content and for the product roadmap, but it is easy to lose when it is scattered across Discord threads, GitHub issues, and individual memory. AI agents could surface and act on those patterns, but only if they remember them. Glen makes that possible: connected over MCP, an agent reads the shared store before it answers a question or drafts a post, picking up the canonical answer and the known pain points, and writes back new patterns it observes, so the team's collective understanding of its developer audience grows.

For a DevRel team this turns ephemeral community signal into durable, actionable memory. The best answer to a recurring question, the doc page that needs work, the feature developers keep asking for, all become memory an agent recalls when drafting a reply or a tutorial, so your content stays consistent and your responses improve instead of being reinvented. Because Glen is org-scoped, this memory is shared across the whole DevRel team and is even readable by the engineering agents on the other side of the wall, so the feedback you capture reaches the people who can act on it. As a standard MCP server, Glen complements the community, docs, and content tools your agents already use. Connect once over OAuth or an API key and let what your community teaches you compound across every agent your team runs.

FAQ

Can it capture recurring community questions and feedback?: Yes. Agents record durable observations, the questions developers keep asking, the docs that confuse people, the feature requests that recur, and read them back when drafting answers or content, so patterns are acted on instead of forgotten.
Can the engineering side see the feedback we capture?: Yes. Glen is org-scoped, so observations DevRel agents write are readable by engineering agents in the same org, closing the loop between community signal and the roadmap.