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

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

agentsview

kenn-io

Free

Local-first, open-source tool to browse, search, and track costs across 20+ AI coding agents from one binary.

Unified Session Browser: Browse and search sessions across 20+ AI coding agents from one local UI.
Local SQLite Indexing: Syncs all agent sessions into a local SQLite database for fast, fully local queries.
Cost and Token Tracking: A fast, local ccusage replacement that tracks token use and cost across all agents with per-model breakdowns.
Automatic Pricing: Pulls model pricing via LiteLLM rates with an offline fallback for accurate cost estimates.
Flexible Deployment: Run as a single CLI binary, a macOS/Windows desktop app, or a published Docker image.
Secure Loopback Access: Binds to loopback with Host-header validation and optional auth to guard against DNS-rebinding attacks.

Tracking AI Coding Spend: Monitor daily token consumption and cost across every coding agent in one place.
Searching Past Agent Sessions: Browse and search prior sessions from Claude Code, Codex, and other agents locally.
Replacing ccusage: Use a faster, local cost-tracking tool that supports many agents instead of just one.
Status Bar Cost Readouts: Pipe a one-line daily usage summary into a shell prompt or status bar.
Self-Hosted Team Dashboards: Run the Docker image with PostgreSQL to serve usage analytics in a dev environment.

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.