Apache Maka vs Gemini Spark: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Gemini Spark — 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.
G
Gemini Spark
Google's always-on personal AI agent that monitors your inbox, manages your schedule, and completes multi-step tasks 24/7.
Key features
- Always-On Operation: Runs continuously on Google Cloud and keeps working even when your laptop is closed.
- Proactive Gmail Management: Organizes emails, drafts responses, prioritizes messages, and summarizes inbox activity.
- Calendar & Scheduling: Manages appointments, suggests scheduling improvements, and prepares meeting summaries.
- Google Workspace Integration: Connects natively with Gmail, Calendar, Drive, Docs, Sheets, Slides, YouTube, and Maps.
- Third-Party Connections: Links to apps like Canva, OpenTable, and Instacart, with more partners coming.
- Multi-Step Task Automation: Completes interconnected, recurring tasks such as spotting hidden fees or drafting reports from meeting notes.
- User-Controlled & Opt-In: You decide whether to enable it and which apps it can access.
Best for
- Inbox Triage: Automatically organize, prioritize, and draft replies to keep email under control.
- Schedule Management: Keep a calendar organized with proactive appointment and meeting prep.
- Recurring Monitoring: Set it to watch for things like hidden fees in monthly bills.
- Report Generation: Turn meeting notes from chats and emails into polished Google Docs reports.