tuios vs Weave: Features, Pricing & Which Is Better (2026)

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

tuios

Gaurav Gosain

Free

Terminal multiplexer and window manager in Go with BSP tiling, workspaces and agent state awareness for coding agents.

Modal Terminal Panes: Vim-like modal interface with multiple panes and workspaces inside your terminal.
BSP Tiling and Layouts: BSP tiling with preselection plus master-stack and scrolling layout modes.
Agent Awareness: Coding agents in panes can report their state and message each other.
Persistent Daemon: Keeps sessions alive and reaches sessions on your other machines.
Kitty Graphics Support: Flicker-free kitty image passthrough with event-driven rendering.
Hooks and Config: Run shell commands on window, session and agent events; customize keybindings and themes.

A developer tiles several coding agent sessions in one terminal and sees what each is doing.
An engineer keeps long-running terminal sessions alive across disconnects.
A user manages sessions on remote machines from a single multiplexer.
A team triggers shell hooks when an agent finishes or fails.
A newcomer tries the real app in the browser through the WebAssembly guided tour.
A power user customizes keybindings and themes for a vim-style workflow.

WorkWeave

Freemium

Engineering intelligence platform that measures the ROI of AI coding spend and routes every prompt to the most cost-efficient model.

Prompt-to-Production Analysis: LLM and ML models analyse commits, tokens, pull requests, reviews, deploys, and AI telemetry as a single pipeline rather than isolated metrics.
AI ROI Scoring: Token consumption is scored for cost, efficiency, and quality, benchmarked against thousands of engineering organisations, so spend is measured by value rather than volume.
Per-Engineer AI Impact: A breakdown of AI usage rate, AI score, code quality, and output change versus baseline for each engineer over a rolling window.
Weave Prompt Router: Classifies every prompt and routes it to the most cost-efficient model without compromising speed or quality, learning from individual and organisation-level feedback.
One-Command Router Install: Running npx @workweave/router detects your existing clients and writes one env var per provider for Anthropic, OpenAI, and Google, with the bearer token staying on your device unless you export it.
Wooly Engineering Agent: An AI agent that reviews all your engineering data to suggest where and how to improve, answering questions grounded in your own records with citations, available in-app or over MCP.
Standard Framework Reporting: DORA and SPACE metrics plus survey data combined with AI-specific measures in one pane of glass for executive reporting.
Enterprise Compliance Controls: SOC 2 Type II certification with regular third-party audits, GDPR and HIPAA compliance, SSO via SAML and OIDC, SCIM provisioning, and role-based access.

Justifying AI Tooling Spend: Producing an executive report on what a Claude Code or Cursor rollout actually returned, benchmarked against peer organisations.
Cutting Inference Costs: Routing routine edits to cheaper models and reserving frontier models for work that needs them, without changing how developers work.
Finding SDLC Bottlenecks: Identifying where pull requests, reviews, or deploys stall using DORA and SPACE metrics alongside AI telemetry.
Coaching Engineers on AI Use: Seeing which engineers get real quality and output gains from AI assistance and which are consuming tokens without effect.
Agent Observability: Tracking what autonomous coding agents contribute to the codebase separately from human-authored work.
Ad-Hoc Engineering Questions: Asking Wooly where deployment cycles are getting stuck and receiving an answer cited back to the organisation's own records.