Apache Maka vs stitch-skills: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and stitch-skills — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Apache Maka
The Apache Software Foundation
Apache-licensed local-first agent workspace that runs tools in a sandbox and records every model message and tool call as a recoverable execution log.
Key features
- Append-Only Execution Record: Model messages, tool calls, tool results, permission decisions, and turn termination events are written down durably, so the transcript is evidence rather than a disposable chat buffer.
- Context Trimming Without Data Loss: Old tool output can be omitted from the next prompt to shorten context while the full saved history remains intact and inspectable.
- Single Runtime Host: Desktop, terminal, and evaluation all execute through one runtime, so behavior does not diverge between how you develop and how you benchmark.
- Sandboxed Tool Boundary: Built-in Read, Write, Edit, Bash, Glob, and Grep tools run under a sandbox; anything leaving that boundary requires approval, and Computer Use and catalog skills are opt-in.
- Crash Recovery and Resume: Runs can be aborted, failures are classified, and an interrupted turn can optionally be resumed rather than restarted from scratch.
- Session Branching and Search: The desktop workspace supports creating, archiving, searching, renaming, retrying, regenerating, and branching sessions from any turn.
- Bring Your Own Model: Connect a cloud API, a locally hosted model, or a compatible gateway, with streaming output, thinking, usage reporting, and clearer provider errors.
- Declarative Evaluation Harness: maka eval expands multi-arm experiments into task by repetition by subject cells with immutable per-cell attempts and a result kernel covering score, normalized usage, attributable cost, duration, and failure reason.
- Local-First Storage: Sessions, settings, artifacts, and run records stay on the machine by default, with local memory and optional web search when configured.
Best for
- Auditable Agent Runs: Keeping a defensible record of exactly what an agent did and which permissions were granted during a task.
- Long Coding Sessions: Working through a multi-turn refactor with branching and resume instead of losing state when a turn fails.
- Agent Benchmarking: Running reproducible multi-arm experiments comparing models, prompts, or external agent subjects on the same task set.
- Air-Gapped or Regulated Work: Running an agent workspace where sessions and artifacts must remain on local infrastructure.
- Cost and Usage Analysis: Attributing token usage, cost, and duration per experiment cell to decide which model configuration to ship.
- Terminal Workflows: Driving an agent from the current project directory or scripting a single non-interactive turn from CI or a shell.
- Open-Source Agent Research: Building on a permissively licensed runtime whose execution semantics and architecture are fully documented.
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stitch-skills
Google Labs Code
Open-source collection of agent skills and plugins for Google Stitch that plug into Codex, Claude Code, Cursor, and Gemini CLI.
Key features
- Cross-Agent Plugin Bundles: Ships stitch-design, stitch-build, and stitch-utilities as marketplace plugins that install into Codex, Claude Code, Cursor, Antigravity, or Gemini CLI.
- Code to Design: Convert frontend code (React, Vue, etc.) into a Stitch design by extracting HTML, applying the design system, and uploading it to a Stitch project.
- Generate Design: Create new screens from text or images, edit existing screens, and produce dark-mode or high-density design variants.
- Design System Management: Upload a DESIGN.md and apply the theme across all screens in a Stitch project.
- Extract Design MD: Scan a codebase and generate a comprehensive DESIGN.md describing the design system directly from source.
- Static HTML Extraction: Capture self-contained static HTML from running web apps with CSS and images inlined for handoff.
- React / React Native / shadcn Codegen: Convert Stitch designs to production-ready React components, React Native code, or shadcn/ui-integrated apps.
- Remotion Walkthrough Videos: Generate video walkthroughs of a Stitch project with smooth transitions and zooming.
Best for
- Migrating a Codebase to a Design System: Upload an existing frontend into Stitch to run a design migration project with consistent tokens and theming.
- Rapid Screen Generation: Product teams generate mobile or web screens from short prompts and iterate on variants without leaving the coding agent.
- Code Handoff from Design: Convert Stitch screens into React or React Native components so engineers can consume the design in the target framework.
- Design System Extraction: Reverse-engineer a DESIGN.md from an existing repo to formalize implicit design tokens and share them across teams.
- Design Reviews and Walkthroughs: Automatically produce video walkthroughs of a project to share with stakeholders and reviewers.
- Agent-Native Workflows: Developers who live inside Claude Code, Cursor, or Codex install Stitch skills locally to drive design work from the same agent they use for coding.