maka
Apache Maka is an agent workspace that records every run, tool action, and model decision so work can be reviewed, recovered, and repeated with a clear trace.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
Share on XLicense: Apache-2.0
Overview
Apache Maka is an agent workspace built around a complete runtime log. It records model messages, tool calls, permission decisions, and termination events as an append-only event stream, so the UI, prompts, and crash recovery are reconstructed from the log instead of a separate source of truth. It is designed for local-first use with a model you choose, from cloud APIs to local models.
Key features
- Records model messages, tool calls, permissions, and terminations in a runtime log
- Rebuilds the UI and next prompt from the log instead of a separate source of truth
- Keeps sessions and records local while using the model you choose
- Supports desktop, TUI, CLI, and eval workflows through one runtime host
Best for
It is a fit for people who want to review agent behavior, recover from interruptions, and run tasks with a model they choose while keeping local records.
- Upstream
- apache/maka
- Fork on GitHub
- Guo-astro/maka
- Upstream stars
- 5.9k
- Category
- AI agents and LLM tools
- Language
- TypeScript
- License
- Apache-2.0
- Forked
- 2026-10-08
- Sync status
- In syncLast synced 2026-11-08
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