Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by egroup-labs · MCP Server · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kept safe to install? View the security audit →
Kept Kept saves your AI conversations as local Markdown files, then gives you a desktop app to search, browse, connect, and reuse them. It works with ChatGPT, Claude, Gemini, Grok, and Kimi. Your archive lives on your machine under , with an Obsidian-compatible vault plus local indexes for full-text search, topics, projects, and graph views. Quick Install MCP server Why Kept AI chats often become working memory: debugging trails, research notes, product decisions, prompts, snippets, and half-finished ideas. Most of that history stays inside vendor UIs. Kept turns it into files you own. Plain Markdown, grouped by provider. Fast local search with SQLite FTS5. Graph and topic views f
| Stars | 118 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.5843362359306/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-15 |
| Created | 2026-05-02 |
| Platforms | browser, claude-code, gemini, mcp, node |
| Est. Tokens | ~1029k |
These tools work well together with kept for enhanced workflows:
Looking for a kept alternative? If you're comparing kept with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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kept is Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.. It is categorized as a MCP Server with 118 GitHub stars.
kept is primarily written in TypeScript. It covers topics such as chrome-extension, claude-code, knowledge-graph.
You can find installation instructions and usage details in the kept GitHub repository at github.com/egroup-labs/kept. The project has 118 stars and 9 forks, indicating an active community.
kept is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to kept on Agent Skills Hub include omega-memory, enzyme, octocode. 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.
Sources & who's responsible: