seline: Local-first AI desktop application that brings together conversational AI, visual generation tools, vector

by tercumantanumut · MCP Server · ★ 143

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentantigravitycodebase-indexingcodexdeferred-loadingdiffusion-modelsknowledge-basellmlong-term-memorymcp

Quick Facts

Stars143
Forks27
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues13
Last Updated2026-03-08
Created2026-01-03
Platformsbrowser, cli, codex, mcp, node
Est. Tokens~3662k

About seline

Selene Selene is an agent-first desktop app that runs AI on your machine. Chat, write code, generate images, design UIs, control a browser — then pipe all of it into WhatsApp, Telegram, Slack, or Discord. Your data stays on your device. Every part of Selene — chat, embeddings, voice, images — lets you pick between local and cloud. Run fully offline or bring your own API keys. Mix and match.

Compatible Skills

These tools work well together with seline for enhanced workflows:

  • OpenFlux — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • agentara — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • project-golem — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (47%)

seline alternative? Top 6 similar tools

Looking for a seline alternative? If you're comparing seline 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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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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