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by silverstein · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is minutes safe to install? View the security audit →
Featured in: Meeting Tools & Transcription
minutes Your AI remembers every conversation you've had. useminutes.app Agents have run logs. Humans have conversations. minutes captures the human side — the decisions, the intent, the context that agents need but can't observe — and makes it queryable. Record a meeting. Capture a voice memo on a walk. Ask Claude what was decided three weeks ago. It just works. How it works Everyth
| Stars | 1,494 |
| Forks | 165 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.6983965203976/100 |
| Open Issues | 78 |
| Last Updated | 2026-09-21 |
| Created | 2026-03-18 |
| Platforms | claude-code, cli, codex, mcp, rust |
| Est. Tokens | ~26k |
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minutes is Open-source, local-first Granola/Otter alternative that Claude Code, Codex, Cursor, and any MCP client can query. Meetings, calls, and voice memos transcribed on-device into markdown you own.. It is categorized as a MCP Server with 1.5k GitHub stars.
minutes is primarily written in Rust. It covers topics such as agent-skills, ai, claude.
You can find installation instructions and usage details in the minutes GitHub repository at github.com/silverstein/minutes. The project has 1.5k stars and 165 forks, indicating an active community.
minutes is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to minutes on Agent Skills Hub include amical, deepchat, openpencil. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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