Agent Frameworks

Phantasm

Human-in-the-loop approval layer for AI workflows.

Status
UnmaintainedNo commits in 638 days.
Last checked
Aging · Sep 1, 2026
License
Open source
Pricing
Free tier · from $0
Visit Phantasm Compare with alternatives

What it is

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.

Phantasm uniquely offers a customizable, real-time human-in-the-loop layer for AI workflows, ensuring accuracy and compliance through direct human oversight.

When it fits — and when it doesn’t

A good fit 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.

Look elsewhere if

  • Applications that do not require human-in-the-loop approval or monitoring.

  • Scenarios where real-time intervention is impractical due to latency constraints.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other observability tools

    Documentation only shows examples for a few popular monitoring systems, lacks plugins or connectors for broader ecosystem

  2. 02

    Performance degradation under high load

    Real-time processing can lag when handling more than 10 concurrent AI workflows

What it does well

  • Real-time monitoring and approval layer for AI workflows.

  • Human-in-the-loop intervention to ensure workflow accuracy.

  • Customizable rules for guiding AI agent behavior.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Phantasm

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →