Inventory vs siift: Features, Pricing & Which Is Better (2026)

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

Inventory

Paid

Private, local-first search across every AI coding conversation in Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity.

Unified Conversation Index: Reads local stores from Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity and merges them into one searchable timeline.
Instant Global Search: A ⌘⇧Space shortcut opens a search bar with ~0 ms latency across every past AI chat on your machine.
Local-Only and Read-Only: Data stays on-device and is snapshotted first, so your original chat stores are never modified and nothing is uploaded.
Zero-Setup Install: One macOS download auto-discovers the local stores of supported tools — no account, no configuration.
Unlimited History: Keeps the full history of every conversation instead of the tool-specific rolling windows.
Scratchpad and Sources View: A companion Scratchpad and per-source view let you browse conversations by tool and pinned notes.

Recovering Past Fixes: Find the exact bug fix or config you already talked through with an agent weeks ago instead of re-prompting.
Cross-Tool Research: Search a topic across Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity at once when you have used more than one.
Auditing Agent Work: Review what an AI tool actually did on a branch or task by browsing the merged conversation timeline.
Private Knowledge Base: Build a searchable, on-device knowledge base of your AI chats without sending anything to a cloud service.
Onboarding a New Machine: Point Inventory at existing chat stores to bring years of AI conversation history into one searchable place.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.