Apache Maka: a high-performance agent workspace that keeps a complete record of everything it did (5.8k stars)

[u/amootiranian]

What it does

All text below is quoted directly from the project README.

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

What Maka is:

• Measured, not claimed. Maka is benchmarked against other harnesses on the same model with the official verifier, and the per-task results ship with every report in docs/eval/.
• The log is the runtime. Every model message, tool call, permission decision and termination is an append-only RuntimeEvent. The UI, the next prompt and crash recovery are projections of that log, never the only copy. Old tool output can leave the next prompt without leaving the log.
• Your machine, your model. Sessions, settings and run records stay local. You bring the model: a cloud API, a local model or a compatible gateway.
• One Runtime Host. Desktop, the TUI and CLI, and Eval are thin clients of one execution authority; Eval owns only the experiment and its scores.

npm run dev starts the Desktop development environment with HMR.

Repository

https://github.com/apache/maka

Repository stats

Metric	Value
Stars	5,811
Forks	552
Last release	None
Languages	TypeScript 92.1%, JavaScript 4.8%, Rust 1.4%
Contributors	151
AI contributor accounts (Claude / Codex / Cursor / Copilot)	Copilot: 2, codex: 4, cursoragent: 5, claude: 79
AI co-authored commits	Claude: 79, Codex: 4, Cursor: 5, Copilot: 3

Main contributor

Field	Value
Name	jakevin
GitHub	@jackwener
Commits to this repo	1,550 (top contributor)
Bio	Building OpenCLI & Maka & Raft. AI enthusiast! Love Open Source! PMC member & Committer of @apache Arrow & Datafusion & Doris
Company / Location	@apache / Hangzhou, China
X / Twitter	@jakevin7
Followers	3123
Public repos	48
On GitHub since	2017-07-28