Paritok vs Yansu: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Paritok and Yansu — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
P
Paritok
Paritok
Non-destructive compression gateway that drops between coding agents and LLMs to cut input tokens by up to 85% without changing the agent.
Key features
- Drop-In Gateway: One environment variable (ANTHROPIC_BASE_URL) reroutes your agent through Paritok — no agent, prompt, or tool changes.
- Tool Schema Compression: 46-schema tool blocks (~29K tokens) drop to ~8K per turn by keeping relevant tools and stubbing the rest, frozen per conversation for cache stability.
- Code-Native 4B Model: A 4B compression model trained on 45K real agent trajectories keeps identifiers, paths, and errors while shrinking file reads and outputs to ~26% of original.
- read_original Recall: Every compressed segment is tagged; the agent asks read_original(ref) and gets the exact bytes locally without spending an extra turn.
- Stale History Summarization: Turns beyond a configurable recent window get summarized once when your context budget fills, so recent turns stay pristine and overflows drop to zero.
- Multi-Agent Compatibility: Works today with Claude Code, Cursor, Codex, OpenHands, and any OpenAI-compatible upstream — Anthropic and OpenAI both supported.
- Compounding Savings: Saved share grows across a session — 25% at 1 turn, 54% at 10 turns, 63% at 20 turns — against a 96,500-token baseline.
- Open Weights and Benchmark: SWE-bench Lite floor of 86.5% quality retained at 25.7% compression rate, with weights and training pipeline published.
Best for
- MCP-Heavy Workflows: Cut input bills for agents that ship 70+ MCP tool schemas on every turn.
- Long Coding Sessions: Run 3× longer coding-agent sessions before context saturation forces a hard compact.
- Bill Reduction: Estimate 54% off input tokens on a 5-developer team at 20-turn Claude Sonnet sessions (~$6,550/year).
- Self-Hosted Privacy: Route agent traffic through your own hardware with no data leaving your network — 8GB GPU is enough.
- Enterprise Cost Governance: Add compression at the gateway layer so all coding agents on the team benefit without engineering per-agent.
- Cursor/Codex/Claude Code Fleet: Standardize compression across a mixed toolchain of coding agents behind one gateway.
Yansu
Isoform
A proactive desktop agent that observes your work and turns it into reusable knowledge, handoffs, and automations without prompting.
Key features
- 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.
- Native desktop clients for macOS, Windows, and Linux (distributions: .dmg for macOS, .zip for Windows, .tar.gz for Linux)
- Bundled absolute-path CLI as primary interface (examples: /Applications/Yansu.app/Contents/Resources/yansu-cli-bundle/bin/yansu status)
- Yansu.skill (SKILL.md) to integrate and hand off concise, relevant context slices to other AI agents
- Yansu Agent releases for syncing project knowledge with the Yansu cloud (optional component)
- Local observation that crystallizes user activity into structured knowledge usable for handoffs and automations
- Strict dependency on the bundled CLI — skill will error if the desktop app/CLI is not installed or running
- Auto-update mechanism: checks ~3 seconds after launch and every ~30 minutes; applies updates in-place and restarts the app
- Release artifacts include checksums.txt with SHA-256 hashes for verification
- Windows-specific bundling requires extraction (sherpa-onnx DLL and helper binaries must sit next to Yansu.exe); Linux binary expects sibling runtime bundles (bun-bundle, ffmpeg-bundle, etc.)
- Common CLI commands referenced: status, login, activity summary (used to verify running/signed-in state and request activity data)
Best for
- Continuity Across Sessions: Maintain context across days for long-running tasks so you don't need to re-explain project decisions when returning to work.
- Agent-Assisted Handoffs: Hand off an in-progress job to another team member or automated agent by providing the crystallized knowledge entry and required state through the CLI/skill.
- Contextual Agent Queries: When using conversational or task agents, surface only the single most relevant sentence of personal context so the agent can answer with knowledge about your preferences and prior decisions.
- Automating Repetitive Workflows: Detect repeatable sequences of actions and convert them into automations or documented handoffs to reduce manual repetition.
- Project Knowledge Syncing: Use the Yansu Agent releases/component to sync a project's local knowledge base with a central store for team onboarding and reduced ramp time.
- Local-First Privacy Workflows: Capture and use personal context locally via the bundled runtime and CLI to enable personalized assistance while minimizing unnecessary external exposure.
- Maintain continuity across days by capturing decisions and context so other agents start with relevant history
- Handoff entire jobs to teammates or agents without reintroducing context
- Surface concise, privacy-minded context snippets to chat agents when they need personal context
- Sync project knowledge bases locally and with cloud (via Yansu Agent) for developer workflows
- Enable automations and repeatable workflows based on observed user patterns