maka — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by apache · Agent Tool · ★ 5.4k

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

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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. [!IMPORTANT] Maka is under active development. The macOS Apple Silicon desktop build is an early public release; data formats, CLI commands, and experimental capabilities may still change. Why Maka Local-first instead of hosted-first: sessions, settings, and run records stay on your machine by default. You choose the model connection: cloud API, local model, or compatible gateway. Log is the Runtime: model messages, Tool Calls, Tool Results, and termination facts enter Runtime Event Log. Sessions, UI, model context, and recovery are projections over that log. Context is not history: Tool Result pruning and LLM Compaction change what the next inference sees

agent-runtimeaiai-agentapacheclidesktopelectronevent-sourcingincubatorllm

Quick Facts

Stars5,386
Forks499
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score67.6213294221524/100
Open Issues488
Last Updated2026-09-14
Created2026-05-27
Platformscli, node
Est. Tokens~17k

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%)
  • gini-agent — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • 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%)

maka alternative? Top 6 similar tools

Looking for a maka alternative? If you're comparing maka with other agent tool 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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    Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, ope

  • ChatLab by hellodigua · ⭐ 5.0k

    A Local-first chat analysis tool: Relive your social memories powered by SQL and AI Agents. 本地化的聊天记录分析工具,通过 SQ

  • Unity-MCP by IvanMurzak · ⭐ 4.3k

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  • basic-memory by basicmachines-co · ⭐ 4.0k

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  • core by opensumi · ⭐ 3.7k

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Frequently Asked Questions

What is maka?

maka is Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.. It is categorized as a Agent Tool with 5.4k GitHub stars.

What programming language is maka written in?

maka is primarily written in TypeScript. It covers topics such as agent-runtime, ai, ai-agent.

How do I install or use maka?

You can find installation instructions and usage details in the maka GitHub repository at github.com/apache/maka. The project has 5.4k stars and 499 forks, indicating an active community.

What license does maka use?

maka is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to maka?

The top alternatives to maka on Agent Skills Hub include ai-guide, bytebot, ChatLab. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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