OpenFlux: Open-source AI Agent desktop client — multi-LLM, long-term memory, browser automation & tool orchestration

by EDEAI · Agent Tool · ★ 227

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

How to install OpenFlux

git clone https://github.com/EDEAI/OpenFlux.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

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.

Quick Facts

Stars227
Forks42
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score68/100
Open Issues2
Last Updated2026-09-08
Created2026-02-25
Platformsbrowser, cli, node
Est. Tokens~15k

About OpenFlux

⚡ OpenFlux Open-source AI Agent desktop client — multi-LLM, long-term memory, browser automation & tool orchestration 🌐 Official Website · 📥 Download English | 中文 ✨ Features 🧠 Multi-Agent Routing — Auto-detects user intent and dispatches to general / coding / automation agents 🔌 Multi-LLM Support — Anthropic / OpenAI / DeepSeek / Moonshot / MiniMax / Zhipu / Google / Ollama, switch with one...

Compatible Skills

These tools work well together with OpenFlux for enhanced workflows:

  • MoltBrain — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • seline — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • selene — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • MyAgents — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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