Apache Maka vs Miora: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Miora — 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.
Miora
Tencent
Tencent's AI creative agent studio that generates images, video, UI/UX, and 3D on one editable canvas with persistent brand memory.
Key features
- Multi-Modal Canvas: Images, video, UI/UX, and 3D are generated and edited on the same editable canvas — no tool switching.
- Agent Orchestration: A single brief spawns multiple specialized Skills (agents) that collaborate to deliver a full asset pack.
- Persistent Brand Memory: Retains logos, palettes, and style across projects so visual consistency holds across campaigns.
- Natural-Language Brief: Describe the deliverable in plain language and Miora plans the sub-tasks across image, video, and 3D agents.
- Production-Ready Output: Compresses weeks-long creative cycles into hours by handing back an asset pack ready for use.
- Unified Project Workspace: The entire creative project lives on one canvas so context, references, and iterations stay in one place.
- Video + 3D Generation: Native support for video and 3D means storyboards and product visuals live alongside static graphics.
- International Beta Access: Available globally via miora.design during the current beta phase.
Best for
- Campaign Asset Packs: Brief Miora once and receive a coordinated set of key visuals, video cutdowns, and UI mockups for a launch.
- Brand-Consistent Content: Rely on persistent brand memory to keep every generated asset on-palette across weeks of campaign work.
- Product Visualization: Combine 3D generation with UI screens to prototype a product page or launch keynote inside one canvas.
- Storyboard to Video: Sketch a storyboard on the canvas and let video agents extend selected frames into short-form video.
- Design + Marketing Handoff: Keep both design and marketing in the same workspace so approvals and revisions never leave the canvas.
- Rapid Concept Exploration: Iterate on multiple visual directions at once — image, motion, and 3D — without spinning up separate tools.