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Future AGI

Open-source platform for evaluating, observing, and improving LLM and AI agent applications.

1.1K stars 0.2K forks Apache-2.0 license 2026-06-11 verified
bash
$# Future AGI
$pip install future-agi
$npx future-agi --help
Open sourceSelf-hosted
Overview

What is Future AGI?

Future AGI is an open-source platform for evaluating, observing, and improving LLM and AI agent applications. It covers tracing, evals, simulations, datasets, gateway workflows, guardrails, and self-hostable deployment.

Evaluation and observability together

Future AGI combines tracing, evals, datasets, simulations, gateway, and guardrails.

Production agent quality depends on multiple feedback loops, not just a dashboard.

Self-hostable platform

The project describes itself as self-hostable.

Teams with sensitive agent data often need control over telemetry and evaluation datasets.

Agent application focus

Future AGI is explicitly aimed at LLM and AI agent applications.

Agent systems need tool, trace, and workflow-level evaluation beyond plain chat completion metrics.
Use cases

What teams use it for

Agent regression testing

Track whether agent changes improve or degrade task performance.

Simulation workflows

Use simulations and datasets to test agent behavior before production traffic.

Guardrail monitoring

Pair traces with guardrails around risky model or tool behavior.

Ecosystem

Tags & capabilities

toolopen sourceautomationworkflowopen sourceself hosted
Comparison

How it stacks up

When to choose Future AGI

Compare it with nearby tools by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.

FAQ

Questions

Is Future AGI open source?

Yes. The GitHub repository is listed under the Apache-2.0 license.

Who should evaluate Future AGI?

Teams shipping production LLM or agent applications should evaluate it as an evaluation and observability layer.