Apache Maka vs Page Agent: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Page Agent — 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.
P
Page Agent
Alibaba
Page Agent is an open-source in-page GUI agent — a single JavaScript library gives any web page its own AI agent, no extension or backend needed.
Key features
- In-Page GUI Agent: A single JavaScript include gives any web page its own AI agent that lives inside the page, with no extension or backend required.
- Text-Based DOM Manipulation: Operates on the DOM through text — no screenshots or multi-modal LLMs, so it's lightweight and privacy-friendlier.
- Bring Your Own LLM: Works with most mainstream models and locally-deployed LLMs so teams stay in control of prompts and data.
- Optional Chrome Extension: A companion Chrome extension lifts the agent out of a single page so it can drive multi-page tasks and cross-tab workflows.
- MCP Server (Beta): An included Model Context Protocol server lets external agents connect and control Page Agent from outside the browser tab.
- Ships as an npm Package: Distributed as `page-agent` under an MIT license with TypeScript typings and a small bundle size.
Best for
- SaaS AI Copilot: Ship an in-product AI copilot in an existing SaaS web app without building a browser extension or backend agent.
- Onboarding & Guided Tours: Have the agent walk new users through the UI step-by-step, interacting with the real DOM.
- Web Automation: Automate repetitive DOM tasks (form fill, data extraction, batch updates) driven by natural-language instructions.
- Multi-Page Workflows: Combine with the Chrome extension to drive workflows that span multiple tabs and origins.
- Agent Orchestration via MCP: Let external agent frameworks control a live web page through the MCP server for testing or automation.