Henji vs Yansu: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Henji and Yansu — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Henji

Freemium

Mac app that drafts chat and email replies in your own voice across Slack, LINE, Gmail, and Messages.

Voice Matching: Learns your usual tone and phrasing over time so replies read as you-ish rather than AI-ish.
Tone Modes: Switch between Polite, Casual, Team, and Friends styles so each reply fits the relationship and channel.
Multi-Channel Coverage: Works across Slack, LINE, Gmail, and Messages so chat and email replies are handled in one place.
Scribble-to-Reply: Type a short note or intent and Henji expands it into a complete, context-aware message.
Multilingual: Supports multiple languages including English and Japanese for replies.

Faster Messaging: Knocking out quick chat and email replies during a busy day without sounding robotic.
Difficult Replies: Politely declining requests or negotiating deadlines while keeping the tone warm.
Team Communication: Keeping internal Slack threads fast and to the point with a team-appropriate tone.
Cross-Language Correspondence: Drafting replies in English or Japanese for international contacts.

Isoform

Free

A proactive desktop agent that observes your work and turns it into reusable knowledge, handoffs, and automations without prompting.

Proactive Observation: Continuously observes user activity (desktop, messaging, file interactions) and converts recurring patterns into structured knowledge without explicit prompting.
Crystallized Context: Transforms raw activity into concise, reusable knowledge entries that can be surfaced to agents as a single relevant sentence instead of full transcripts.
Bundled CLI Interface: Ships with a bundled yansu CLI that is the primary interface for integrations and handoffs, providing commands like status, login, and activity summary for continuity across sessions.
Agent Skill Handoff: Provides a yansu.skill integration that hands a targeted slice of personal context to other AI agents on demand, enabling those agents to start 'warm' and avoid repeated re-introductions.
Local Runtime & Bundles: Desktop app includes runtime bundles (bun, ffmpeg, sherpa-onnx, etc.) and runs locally; the CLI and binaries must be present for the skill and integrations to work.
Background Operation & Auto-Update: Runs in the background and checks for updates shortly after launch and periodically (~every 30 minutes), applying new versions in-place and restarting the app automatically.
Cross-Platform Desktop Client: Native installers and archives for macOS (.dmg), Windows (.zip) and Linux (.tar.gz) with checksums for download verification and platform-specific installation guidance.