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Test, guard, and monitor AI agents before they break in production.

Future AGI is a platform for evaluating, monitoring, and improving AI agents with guardrails, tracing, and error tracking. It targets teams building production AI systems that need to catch hallucinations, inspect failures, and iterate faster.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

Free Tier
Enterprise
API
B2B
For Developers
Self-Hosted
For Teams
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About

What It Is

Future AGI is an AI agent evaluation and observability platform. It is built for developers and teams shipping AI agents, especially customer support, workflow, and other production systems where hallucinations and broken outputs can cause real issues.

What to Know

This is more of an infrastructure and quality-control product than an autonomous agent itself. It helps you detect failures, measure performance, and block or monitor bad outputs, but it does not appear to replace the underlying agent or application you are building.

Key Features
Real-time guardrails to block AI hallucinations
Evaluation runs with 20+ metrics
Error feed for tracking agent failures
Multi-turn conversation simulations
Branching scenario definitions for tests
Use Cases
Debugging a customer support agent that gives inaccurate answers
Running evaluation suites before shipping a new prompt or model
Monitoring hallucination spikes and alerting an engineering team
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Jun 22, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Details
AddedJune 22, 2026
RefreshedJune 22, 2026
Agenticness
Quick Facts
DeploymentHybrid (cloud + self-hosted)
AutonomySemi-autonomous
Model supportMulti-model
Open sourceYes
Team supportEnterprise
Pricing modelSubscription
Interfaceweb, api
Sources
Last updated June 22, 2026

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