kheish: Kubernetes-like orchestration for long-running, tool-using AI agents

by graniet · Agent Tool · ★ 247

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

Security audit verdict: SAFE · quality 53/100

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.

agentaiai-agentai-agentsanthropicframeworkllmlong-term-memorymodulesmulti-agent

Quick Facts

Stars247
Forks22
LanguageRust
CategoryAgent Tool
LicenseApache-2.0
Quality Score53/100
Last Updated2026-07-26
Created2024-12-11
Platformsk8s, rust
Est. Tokens~22k

About kheish

Kheish Persistent agent runtime and control plane for long-lived, tool-using AI workflows.   The invariant: agents outlive callers Kheish enforces one rule: An agent's execution is durable, scoped, and accountable — independently of any caller, process, or human reachability. Everything else in this README is a consequence of that single invariant.

Compatible Skills

These tools work well together with kheish for enhanced workflows:

  • Myco — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • P-ai — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • gloamy — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • hermes-agent-rs — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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    Bridgic is the next-generation agent development framework for building intelligent systems.

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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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