Apache Maka vs hallmark: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and hallmark — 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.
h
hallmark
Together AI
A Claude Code, Cursor, and Codex design skill that generates UI that refuses to look AI-generated via 57 slop-test gates.
Key features
- Twenty Curated Themes: A catalog of macrostructures and design fingerprints so different briefs produce visibly different sites.
- Fifty-Seven Slop-Test Gates: A rules engine that rejects on-distribution AI defaults and forces the output through a pre-emit self-critique.
- Four Verbs: default (build), audit (score existing code), redesign (rebuild with a different fingerprint), and study (extract DNA from an admired design without cloning).
- Custom Mode: When a brief carries creative intent no catalog theme fits, Hallmark designs from scratch with a bespoke palette, type, and layout while still running the 57 gates.
- Self-Contained HTML + CSS Output: Every generated page is standalone HTML/CSS stamped with its macrostructure in a CSS comment for easy hand-off.
- Portable Design.md Handoff: The study verb can emit a design.md so other AI tools can reuse the extracted macrostructure, type pairing, and colors.
- Multi-Agent Install: Drops into Claude Code (~/.claude/skills/hallmark/), Cursor (.cursor/rules/hallmark.md), or Codex with a single copy of SKILL.md + references/.
Best for
- Marketing Sites That Don't Look AI-Made: Founders and designers use Hallmark to generate landing pages with distinct visual identities per brief.
- Auditing Existing UI: Score an existing codebase against the anti-pattern list to get a punch list of AI-looking design choices to fix.
- Redesign With Same Copy: Preserve copy, information architecture, and brand while rebuilding the page with a different macrostructure and fingerprint.
- Studying a Reference Design: Extract macrostructure, type pairing, and color anchor from a design you admire without pixel-cloning or reusing paid templates.
- Portable Design Handoff: Export a design.md that other AI coding agents can consume so design intent survives across tools.
- In-Agent Design Workflow: Developers who live inside Claude Code or Cursor generate production-ready HTML+CSS without leaving the terminal.