Illume Labs vs Kastra: Features, Pricing & Which Is Better (2026)

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

Illume Labs

Freemium

A 24/7 personalized AI health companion you text — connects wearables, bloodwork, and genomics to give actionable longevity insights.

Text-first Interface: Talk to Illume over SMS-style chat, so tracking and coaching happen in the same place as everyday messaging.
Wearable Sync: Automatically pulls sleep, activity, and recovery data from connected wearables to keep context up to date.
Meal Photo Logging: Text a photo of any meal to log it and get nutrition breakdowns in context of your goals.
Bloodwork & Lab Uploads: Upload lab panels so Illume can reason across biomarkers alongside daily signals.
Cross-source Pattern Detection: Connects insights across wearables, labs, and food logs that individual apps can't see on their own.
Longevity Focus: Frames advice around long-horizon health outcomes rather than isolated daily scores.
24/7 Availability: Always-on personal companion for questions, check-ins, and adjustments to your routine.

Personal Health Monitoring: Individuals who want a single AI that reasons across their wearables, labs, and diet in one thread.
Longevity & Wellness Planning: People optimizing for long-term health metrics rather than single-app scores.
Nutrition Tracking: Users who prefer texting meal photos over manual food-log apps.
Post-lab Interpretation: Turning a bloodwork PDF into concrete lifestyle changes without a clinician visit.
Recovery & Training: Athletes correlating sleep, HRV, and training load with performance and recovery.

Kastra Labs Inc

Freemium

Kastra is the runtime authorization layer for AI: it decides in sub-milliseconds what agents, models, and tools are allowed to do before they act.

Sub-Millisecond Policy Decisions: Every prompt, tool call, and API request is evaluated in under a millisecond so enforcement never becomes the bottleneck.
Deterministic Policy Engine: Rules are written and evaluated deterministically, not by an LLM judge, so the same input always produces the same allow/deny.
Kastra Edge (Local Enforcement): A local enforcement component that runs next to the agent so decisions happen even without a network round-trip.
Cryptographic Audit Trails: Signed logs of every decision give security and compliance teams tamper-evident evidence of agent behavior.
Coding Agent Integrations: First-class hooks for Claude Code, Cursor, Codex, and OpenClaw let policies wrap the tool calls those agents already make.
Kastra Recon: Discovers what actions an agent actually attempts in a codebase or environment, so policies can be authored from observed behavior instead of guesses.
Zero Implicit Trust Model: Nothing an agent asks to do runs until it is explicitly allowed by policy, aligning agent access with zero-trust principles.

Guardrails for Coding Agents: Prevent an autonomous coding agent from dropping tables, force-pushing to main, or leaking secrets during long runs.
Enterprise Rollout Approvals: Give security teams a control plane before letting employee-facing AI agents access internal APIs.
Regulated-Industry Agent Deployments: Provide the auditable authorization trail required in finance, healthcare, or government agent pilots.
Multi-Agent Systems: Enforce per-agent scopes so a research agent can read data but only a deploy agent can trigger production changes.
Incident Forensics: Reconstruct exactly what an AI agent was allowed or blocked from doing after a suspicious action.