Earkeep for engineering leads

Earkeep captures every meeting an engineering lead sits through, standups, 1:1s, design reviews, incident calls, as a plain local transcript your own coding agent can query, so the lead stops being the single point of memory the team runs on.

The goal this page is built around

An engineering lead's job is to keep the team shipping reliably while growing the people on it, which in practice means being the connective tissue: absorbing context in meetings all day so the engineers don't have to. Everything below is about making that connective-tissue work sustainable instead of invisible and exhausting.

"I've turned into the team's human release notes"

That's how one lead put it: "I've turned into the person everyone pings to find out what everyone else is doing. What shipped last week, who owns this thing, what's the status on that, did X actually land. Constant. Most of my day now, genuinely… None of it shows up anywhere either. You only notice the coordination when it stops and something falls through."

A lead's week is standups, a 1:1 with every report plus one with their own manager, sprint planning, refinement, retro, architecture and design reviews, cross-team syncs over API contracts, incident reviews when something breaks, hiring interviews, and stakeholder status meetings. One lead described a two-week feature taking four months, purely from coordination layers stacking up between all of that.

First-time leads report the whiplash: still expected to write code, but the calendar doesn't leave room for it. "We had some tight deadlines that required my own contribution, and I spent almost most of my time coding. Yet we didn't meet the deadlines."

The deeper problem isn't the meeting count, it's where the output of those meetings goes. Leads describe the stack they're stuck stitching together by hand: "team knowledge is fragmented across apps… Linear/Jira for tasks, Github for code, Notion for docs, Slack for chats. Each of them are desperately pushing some AI of their own, but it's mostly nothing more than a gimmick, it has no context of what we talked in slack, why we merged the last PR." The meeting is where the missing context actually lived, and once it ends, it evaporates.

Pulling status out of engineers has its own cost. Engineers push back on being interrupted for it: "I am heads down, constantly popping in and out to communicate what changes are being made breaks my flow." The lead is caught between needing the information and knowing that asking for it directly damages the thing they're supposed to protect: the team's focus.

How always-on capture fixes the memory problem, not just the meeting problem

Earkeep runs continuously in the background, mic and system audio both, and never asks you to press record. There's no bot to invite, no "is this being recorded" moment in a 1:1 or a sensitive incident review. A meeting becomes a meeting after the fact: you select the span on the timeline that was the standup, the architecture review, the postmortem, and it's kept.

Connect Google Calendar, Apple Calendar, Outlook, or any ICS URL and Earkeep starts and ends spans automatically from your actual calendar, so the twelve-meeting day doesn't also require twelve manual span selections. In corporate environments where IT doesn't allow another SaaS integration, the ICS URL option needs no admin consent at all.

The effect for a lead specifically: the "who owns this thing, did X land, what's the status on that" firehose that used to live only in your head now lives in transcripts on disk. You didn't have to change how you run meetings to get it. You just stopped losing what was said in them.

The workflow: your own agent, against your own meetings

Engineering leads are the most AI-fluent of the roles Earkeep serves: teams that adopt Claude Code wholesale and standardize on a shared target environment for agent instructions; leads who already say "I stopped asking my engineers for status updates. I just read their agent traces now"; leads who wish out loud for "an agent that had context into all of my tools and projects" instead of pinging engineers directly. That's not a hypothetical integration ask, it's already how this role wants to work.

Earkeep runs Claude Code, Codex, Cursor Agent, Gemini CLI, Hermes, Kimi CLI, OpenClaw, opencode, Pi, Qwen Code, or any other ACP-compatible agent directly inside the app, pointed at your actual meeting history. That means:

  • Ask the agent running inside Earkeep "what did we decide about the API contract, and who owns the migration?" and get an answer sourced from the real design review transcript, not a memory of it or a Jira ticket someone forgot to update.
  • Pull every commitment made in a postmortem, verbatim, months later, when the same failure mode resurfaces.
  • Reconstruct a quarter of 1:1s with one report in minutes instead of searching Slack for hours, for a performance review or a promo packet.
  • Hand the agent a stretch of standups and have it draft the status update, instead of interrupting an engineer's flow to extract it from them.

If your own tooling isn't ACP-based, Earkeep also runs a built-in MCP server, so Claude Desktop, Cursor, or anything else MCP-capable can read your meeting history the same way it reads any other data source. And because transcripts are saved as plain JSONL files you own, they work with tooling that speaks neither protocol: grep them from a terminal, pipe them into a script, or wire them into whatever internal setup your team already standardized on.

Tools this role uses today

  • Jira or Linear, GitHub, Notion or Confluence, Slack as the fragmented context stack, none of which knows what was said in the meeting where a decision actually got made.
  • OneNote, Obsidian, or plain docs for 1:1 and meeting notes, manually written, inevitably incomplete.
  • The calendar, functioning as the real task manager whether it's supposed to or not.
  • AI meeting bots like Teams Copilot, Zoom AI, or Fireflies, where the org allows them. Many engineering orgs restrict them for confidentiality reasons, which rules them out for exactly the design reviews and incident calls where the context matters most. See Earkeep vs Fireflies.

Pricing built for how this role evaluates tools

Engineering leads evaluate software the way engineers do: is the data mine, does it run locally, is there a subscription I have to remember to cancel. Earkeep is €39, once, per device. No per-seat SaaS pricing, no monthly renewal, no vendor holding your meeting history hostage to a subscription, against the $15-30 per user per month most cloud notetakers charge forever. A 14-day free trial with full functionality, no email and no account, lets you run it against a real sprint before deciding, and purchases carry a 14-day money-back refund. See full pricing details →

FAQ for engineering leads

Can I use Earkeep for architecture reviews and incident postmortems without a confidentiality problem?

Audio is processed only in memory and never written to disk, never uploaded to any API, with no account or cloud involved. That's a stronger position than the bot-based notetakers many engineering orgs already restrict for exactly this reason.

Does this replace the standup or the 1:1?

No. Earkeep doesn't change how you run meetings, it just captures them. You still run the standup the way you run it today; the difference is that what was said in it now exists as a transcript you or your agent can query afterward.

Will my team have to change tools?

No. Earkeep sits underneath your existing stack (Jira, GitHub, Notion, Slack); it doesn't replace any of it. It fills the one gap none of those tools cover: what was actually said in the room.

Can I point Claude Code at meetings I didn't personally attend?

Yes, as long as Earkeep captured the span. Any transcript on disk is queryable by whichever agent you run, in-app or via MCP.

Does the agent's model see my meeting content over the network?

Earkeep's own part stays local: transcripts never leave your device via Earkeep. Once you point an agent at a transcript, whether the content then leaves the device depends on which agent you chose and how it's configured, since most external agents call their own model provider's API. See agents and MCP for the full explanation.

Does always-on capture burn through battery or CPU during a long meeting day?

A voice-activity-detection pipeline only runs transcription when someone is actually speaking, on the same local models other transcription apps use. Always-on doesn't mean always-transcribing.

Stop being the single point of memory

14-day full trial, no account required.