Apache Maka vs Aye: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Aye — 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.
Aye
Nanjing Oumi Software Development Co., Ltd.
Chromium-based AI agent that delegates repetitive browser work — video downloads, support email replies, and social ops — with human-in-the-loop approvals.
Key features
- Delegated Browser Tasks: Plans, acts, and verifies multi-step work on real websites so users can offload repetitive chores.
- Media Downloader: Saves videos and files you can access on X, Telegram, and Reddit, with progress and queue in one place.
- Inbox Assistant: Reads context of visible Gmail support messages and drafts natural English or Chinese replies.
- Social Operator: Handles replies, notifications, spam filtering, and content drafts across Reddit, X, Xiaohongshu, Zhihu, WeChat, and Tieba.
- Skills & Scheduling: Save any successful task as a Skill and run it once, at intervals, daily, or weekly.
- Human-in-the-loop Approval: Aye pauses for user confirmation at sign-in, CAPTCHA, form submission, and payment steps.
- Chromium Runtime with Adblock: Full Chromium browser with built-in ad blocking and video download helpers.
- Cross-platform Desktop App: Native builds distributed through the Mac App Store and Microsoft Store.
Best for
- Competitor research: Ask Aye to compare pricing, features, and integrations across a set of SaaS products and produce a recommendation.
- Community maintenance: Reply to comments, clear notifications, and filter spam across multiple social platforms on a daily schedule.
- Support inbox triage: Draft or send bounded English/Chinese replies to routine Gmail support tickets.
- Bulk media collection: Queue and download videos you can access on X, Telegram, and Reddit for offline use.
- Content ops: Prepare platform-native drafts for X, Xiaohongshu, Zhihu, and WeChat for review before publishing.
- Recurring browser jobs: Save any workflow as a Skill and let it run weekly without re-explaining the task.