xyne-spaces: The AI Org-OS — a collaborative platform for humans and agents. Explore

by juspay · Agent Tool · ★ 826

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

How to install xyne-spaces

git clone https://github.com/juspay/xyne-spaces.git

Taken from the project's README on GitHub. Check the security audit before running it.

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. Full audit →

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.

aiai-agentsai-toolsautomationcollaboration

Quick Facts

Stars826
Forks577
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score68/100
Open Issues319
Last Updated2026-11-04
Created2026-08-02
Platformsnode
Est. Tokens~18k

About xyne-spaces

Xyne Spaces The org OS — your organization's context layer, with collaborative apps built around it. Real-time, permission-aware and built for agents. At the center: your org's context. Connectors bring in what your organization already knows — Slack, Google Workspace, Microsoft 365 and more — normalised into a store built for records and retrieval, and served back to your people and your agents...

Compatible Skills

These tools work well together with xyne-spaces for enhanced workflows:

  • mcpcat-typescript-sdk — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • agentcat-typescript-sdk — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • awesome-ai-pulse-georgia — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • zano — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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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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