keeprlabs

keeprlabs / keepr

Public

AI memory layer for engineering teams - local first desktop app

keeprlabs.github.iokeepr
18
3
100% credibility
Found Apr 21, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Keepr is a privacy-focused desktop app that connects to team tools like Slack and GitHub, uses AI to generate evidence-backed summaries such as weekly team pulses and 1:1 prep notes, and stores everything locally as plain markdown files.

How It Works

1
🔍 Discover Keepr

You hear about Keepr, a helpful desktop app that turns your team's chats and code updates into quick, insightful summaries for leaders.

2
💻 Install the app

Download and launch Keepr on your laptop with a simple click—no accounts or sign-ups needed.

3
🤖 Choose your AI helper

Pick a smart thinking service like Claude or GPT, and connect it so Keepr can analyze and summarize.

4
Link your team tools
📱
Add chat and tasks

Optionally link tools like Jira or Linear for even richer context on issues and progress.

⏭️
Skip extras

Jump ahead if you just want to start with chats and code.

5
👥 Name your team

List your team members by display name, linking their chat handles and code profiles for accurate matching.

6
✨ Run your first update

Press a button to generate a team pulse—Keepr reads everything and crafts a clear weekly brief in under a minute.

✅ Enjoy your insights

Read the cited summary with wins, blockers, and follow-ups, all saved locally as simple notes you own.

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AI-Generated Review

What is keepr?

Keepr is a local-first desktop app in TypeScript using Tauri and React that serves as a memory layer for ai agents and engineering teams. It ingests Slack threads, GitHub PRs, Jira issues, and Linear tasks to produce cited outputs like team pulses, 1:1 prep notes, weekly updates, and perf evals—all running on your laptop with no backend or account required. Plain markdown memory files let you grep, Obsidian-sync, or git-commit your team's observed facts.

Why is it gaining traction?

It sidesteps SaaS trust issues with zero telemetry and direct LLM calls (Anthropic, OpenAI, custom endpoints), turning raw exhaust into evidence-backed briefs with graphs, heatmaps, and follow-up boards. Keyboard-first UI, confidence badges, and bidirectional citation sync make AI outputs verifiable, unlike vague github copilot memory hacks. Local persistence dodges github memory limit woes for a true memory layer for ai.

Who should use this?

Engineering managers compiling Monday pulses or 1:1 context from Slack/GitHub noise. Teams needing a github memory optimizer for promo readiness without vendor lock-in, especially those blocking cloud AI tools.

Verdict

With 18 stars and 1.0% credibility, Keepr feels v0.2-polished—great docs, demo fixtures, Homebrew cask—but lacks battle-tested scale. Dogfood it for small teams; skip if you need enterprise audits.

(187 words)

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