Apache Maka vs MeDo by Baidu: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and MeDo by Baidu — 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.
MeDo by Baidu
Baidu
No-code platform that turns natural-language prompts into working full-stack apps and websites using a drag-and-drop editor.
Key features
- Prompt-to-App Generation: Converts natural-language descriptions into a working app scaffold—generating pages, data models, routes and UI components from a single prompt to speed prototype creation.
- Drag-and-Drop Visual Editor: Provides a WYSIWYG editor for arranging UI components, binding data fields and adjusting layout without code, enabling visual refinement after generation.
- Full-Stack Scaffolding: Produces both front-end and backend boilerplate (pages, APIs, and database models) so generated apps include server-side logic and persistent storage ready for use or further customization.
- Prebuilt Components and Templates: Includes reusable UI components and starter templates for common app types (dashboards, forms, landing pages) to accelerate development and maintain consistency.
- Instant Preview and Iteration: Lets users preview apps in-browser immediately after generation or edits, facilitating rapid testing and iterative refinement of workflows and UIs.
- Integrations and API Connectivity: Enables connecting generated apps to external services and APIs (webhooks, third-party data sources) to extend functionality and integrate existing systems.
- One-Click Deployment (Scaffolded): Automatically prepares apps for hosting and deployment so prototypes can be published as live websites or internal tools with minimal setup.
- Collaboration and Sharing: Supports sharing app previews or project links for feedback and collaborative iteration among team members and stakeholders.
- Prompt-to-app generation: convert natural-language descriptions into working applications
- Drag-and-drop visual editor for building full-stack applications without coding
- Website generation capability (create websites from prompts or visual design)
- Code-free app builder workflow intended for rapid prototyping and non-developers
Best for
- Rapid Prototyping: Turn a product idea described in plain language into a clickable prototype or MVP within minutes for user testing and stakeholder demos.
- Internal Tools: Build custom, data-driven internal apps (admin dashboards, CRMs, inventory tools) without hiring engineers, using generated backends and forms.
- Landing Pages and Microsites: Generate marketing landing pages and campaign microsites quickly from prompts or templates, then publish with built-in deployment.
- Startup MVPs: Create minimal viable products that include front-end, API endpoints and data models to validate business ideas before investing in full engineering.
- Form and Workflow Automation: Construct multi-step forms and automated workflows to capture data, trigger API calls or route submissions without custom code.
- Client Proposals and Demos: Produce working app demos for clients or prospects by describing required features and iterating visually to match requirements.
- Rapid prototyping of web apps and MVPs using natural-language prompts
- Non-developer creation of landing pages and simple full-stack applications
- Internal tooling or lightweight apps built via visual editor
- Education and onboarding for users learning app design without coding
