GStars
    apache

    apache/maka

    Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.

    ai
    ai-agents
    cli
    llm
    agent-runtime
    ai-agent
    apache
    desktop
    electron
    TypeScript
    Apache-2.0
    5.9K stars
    566 forks
    5.9K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 145 contributors on GitHub.

    Peaked at #99 in the weekly ranking the week of Aug 23, its best in the past year.

    Use Cases & Benefits

    • Provides a local-first high-performance agent workspace that records all actions and tool executions for recoverable workflows.
    • Ensures full local data control with a Runtime Event Log that captures model messages, tool calls, and execution facts for robust session recovery.
    • Use for managing AI agent workflows with controlled permissions and detailed execution histories on a desktop environment.
    • Use for running reproducible multi-arm evaluation experiments with immutable attempt records and detailed result metrics.
    • Use for integrating and executing local and cloud AI models with dynamic tool availability and permission policies in TypeScript projects.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    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.

    Read Maka Backend Architecture for the complete design.

    Excerpt from the apache/maka README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 27: +176Aug 28: +135Aug 29: +133Aug 30: +136Aug 31: +148Sep 1: +103Sep 2: +146Sep 3: +84Sep 4: +59Sep 5: +63Sep 6: +56Sep 7: +98Sep 8: +127Sep 9: +80Sep 10: +72Sep 11: +40Sep 12: +37Sep 13: +56Sep 14: +63Sep 15: +61Sep 16: +52Sep 17: +34Sep 18: +35Sep 19: +20Sep 20: +13Sep 21: +3Sep 22: +3

    +4,059 stars over 70 days across 32 snapshot days; best day +176 on Aug 27.

    Forks

    566+339

    Open issues

    466+225

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    View category →
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