Future AGI

Visit Website

Introduction

Future AGI positions itself around building self-improving agents: catch what breaks, understand why and fix it. Its product areas include simulations and scenarios, synthetic data generation, tracing, dashboards, alerting, AI agent evaluation and a gateway.

Pricing is usage-based across six dimensions with free tiers on every product, and evals that bring your own key cost nothing. The site links to a GitHub project with roughly a thousand stars.

Features

1. Text and voice simulation: Scenario-based testing.
2. Synthetic data: Generate test datasets.
3. Evaluations: Agent and RAG evals.
4. Tracing and alerting: Production observability.
5. Gateway and cache: Route and cache calls.

Pros

1. Free tiers everywhere: Most teams pay nothing at first.
2. Billing limits: Avoid surprise bills.

Cons

1. Many meters: Six usage dimensions to track.
2. Broad scope: Overlaps with gateways and tracing tools.

Usage and Links (Example)

1. Create a free account.
2. Run BYOK evals on a dataset.
3. Add simulations for voice or text agents as you grow.

Resources:

• Future AGI website

Pricing

Future AGI is usage-based with a $0 free tier and no card required; examples include storage from $2/GB, AI credits from $10 per 1K, text simulation from $2 per 1M tokens and voice simulation from $0.08 a minute.

Recommended for?

1. Startups wanting simulation and evals with low upfront cost.

Conclusion

Future AGI is a broad, usage-priced agent quality platform.

Set billing limits early.

On CheckOps, Future AGI is filed under the Release & CI gates and Production monitoring & observability stages. Related tools listed here include Galileo, Braintrust, Langfuse, DeepEval, Arize Phoenix and Promptfoo. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.