maka: Apache Maka is a high-performance agent workspace that keeps a complete record of everything it did

by apache · Agent Tool · ★ 5.9k

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

How to install maka

git clone https://github.com/apache/maka.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.

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Quick Facts

Stars5,938
Forks575
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score68/100
Open Issues456
Last Updated2026-11-05
Created2026-05-27
Platformscli, node
Est. Tokens~17k

About maka

Maka A local-first Agent workspace built for real work. Maka does more than answer questions. With controlled permissions, it can inspect projects, execute tools, produce artifacts, and preserve model messages and tool calls as recoverable execution facts. Desktop, the terminal TUI, the non-interactive CLI, and Maka evaluation subjects all execute through Runtime Host.

Compatible Skills

These tools work well together with maka for enhanced workflows:

  • Hypha — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • gini-agent — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • goodable — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

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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:

View on GitHub → Browse Agent Tool tools