maka

[!NOTE] Apache Maka (Incubating) is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. DISCLAIMER-WIP records the issues the project is currently aware of.

[!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

• Your machine, your data. Sessions, settings, and run records stay local by default. You bring the model: a cloud API, a local model, or a compatible gateway.

• The record is kept. Model messages, tool calls, tool results, and how a turn ended are written down. The UI and the next model call are views of that record, not the only copy.

• Shorter context is not deleted history. Maka can omit old tool output from the next prompt without throwing away the saved evidence.

• One place runs the agent. Desktop, the terminal, and Maka evaluation all go through Runtime Host. Eval only owns the experiment and its scores.

Read Maka Backend Architecture for the design.

Surfaces

Entry point Best for Current capability

Desktop Daily interaction, file and Artifact workflows, model and permission setup Electron + React with streaming sessions, tool timelines, branching, search, and recovery

TUI / CLI Using Maka in the current project directory or running one non-interactive Turn maka, maka run; shares workspace and model connections with Desktop

Eval Reproducible benchmark experiments across Maka and external subjects maka eval run <spec> --out <directory>

Current capabilities

Agent Runtime

• Multiple model connections, streaming output, thinking, usage, and clearer provider errors;

• Built-in tools: Read, Write, Edit, Bash, Glob, Grep. Computer Use and catalog skills are optional and not on by default;

• Tools that leave the sandbox must be approved; runs can be aborted; failures are classified;

• A durable execution record, crash recovery, and optional resume of an interrupted turn.

Desktop workspace

• Create, archive, search, rename, retry, regenerate, and branch sessions from a Turn;

• Artifact lists and previews, workspace instructions, model settings, and sandbox settings;

• Local memory and web search when configured;

• Chat apps (IM bots) are experimental. See IM onboarding.

Evaluation

• Declarative multi-arm experiments expanded into task × repetition × subject cells;

• Immutable per-cell attempts with targeted infrastructure replacement and earliest-valid selection;

• A small result kernel for score, normalized usage, attributable cost, duration, status, failure reason, and artifacts;

• Maka subjects execute only through Runtime Host; external subjects use generic external subject adapters.

Quick start

Releases and downloads

Apache Maka has not made an Apache release yet. Everything currently published from this repository or from a package registry was produced before or during incubation, is not an Apache Software Foundation release, and has not been reviewed or voted on by the Incubator PMC.

Once Apache releases exist, the official release is the source release published by the ASF and approved by the podling PPMC and the Incubator PMC. A package built from that source and distributed elsewhere, for example through a package registry or as a Desktop installer, is a convenience artifact rather than the release itself, and it is valid only when it is built from an approved source release. .github/ASF_SOURCE_RELEASE.md holds the candidate contract, signing path, and verification steps.

Until an approved source release exists, this README recommends no prebuilt download. Build and run Maka from source as described below. Desktop currently targets Apple Silicon Macs (arm64). Intel Macs and Linux are not supported yet. Windows is an unsigned preview, not a supported release tier.

Requirements

• Node.js 22.19 or newer (CI uses Node.js 24);

• npm (the lockfile and scripts use npm; the current packageManager is npm 11);

• Git;

• ripgrep, used by Runtime's Grep tool.

Start Desktop

git clone https://github.com/apache/maka.git
cd maka
npm ci
npm run dev

npm run dev starts the Desktop development environment with HMR. To build every workspace before starting Electron, use:

npm run dev:full

If dependencies were installed with ELECTRON_SKIP_BINARY_DOWNLOAD=1, install the Electron platform binary before starting:

node node_modules/electron/install.js

First run

Maka does not bundle a shared model account. On first launch:

• Open Settings → Models;

• Add an API, local-model, or supported account connection;

• Test it and choose a default model;

• Return to the workspace and start a task.

The app distinguishes configured, send-ready, and experimental connection states. An account flow that is not wired into Runtime is not presented as a usable model.

Terminal entry points

For the public npm package, see the CLI installation and usage guide. The commands below run the development CLI from a source checkout.

Build the workspaces first:

npm run build

Then start the TUI or run one Turn:

npm run cli:dev
npm run cli:dev -- run "Summarize this repository and identify its most important risk"
npm run cli:dev -- run --graph "Implement two independent slices, integrate them, then review the result"
npm run cli:dev -- --help

The TUI also accepts /graph on, /graph off, and /graph <task>. Non-interactive --graph runs wait for the durable Graph to finish before printing the final supervisor output. Graph implementation operators use isolated Git worktrees, so the source project must be a clean Git worktree.

The repository CLI uses the same Maka Dev profile as a development Desktop build. The released maka binary continues to use the Maka profile; the two profiles are not copied or synchronized automatically. Evaluation specs and adapters live in packages/eval.

Architecture

The backend spine is:

Desktop / TUI / CLI → Runtime Host → SessionManager → AgentRun
                                             ↓
                         Model + Tool Runtime → Runtime Event Log
                                             ↓
                              Context / Session / UI projections

Experiment → Cells → Attempts → Results
                    ↓
       Runtime Host executes Maka subjects

Start with ARCHITECTURE.md. It provides the system map, code boundaries, problem-oriented reading paths, and six bilingual deep dives.

Repository layout

apps/desktop/       Electron main / preload / React renderer

packages/core/      Pure contracts for Sessions, Events, Permissions, and Connections
packages/storage/   SQLite operational state, configuration, and payload stores
packages/runtime/   AgentRun, model adapters, to