Phantasm
Human-in-the-loop approval layer for AI workflows.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Phantasm?
Phantasm provides toolkits to create a human-in-the-loop approval layer that monitors and guides AI agents in real-time, ensuring workflow accuracy and safety.
Key differentiator
“Phantasm uniquely offers a customizable, real-time human-in-the-loop layer for AI workflows, ensuring accuracy and compliance through direct human oversight.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Documentation only shows examples for a few popular monitoring systems, lacks plugins or connectors for broader ecosystem
Real-time processing can lag when handling more than 10 concurrent AI workflows
Fit analysis
Who is it for?
✓ Best for
Teams needing real-time monitoring and intervention for their AI workflows.
Projects requiring human oversight to ensure compliance with regulatory standards.
Developers building systems where AI decisions need to be guided by human expertise.
✕ Not a fit for
Applications that do not require human-in-the-loop approval or monitoring.
Scenarios where real-time intervention is impractical due to latency constraints.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Phantasm
Step-by-step setup guide with code examples and common gotchas.