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Future AGI

Evaluate, observe, and improve your AI agents with one integrated platform

★ 1,528 GitHub Apache-2.0 ai-agentsevaluationtracingllmguardrailsobservability AI Agents

Overview

Future AGI is an open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. It combines tracing, evals, simulations, datasets, gateway, and guardrails into one unified platform. Everything runs on one platform and one feedback loop, from first prototype to live deployment. Features include: prompt evaluation and debugging, LLM tracing and observability, simulation-based testing, dataset management, a unified API gateway, and built-in guardrails for safety. Self-hostable with Docker.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  future-agi:
    image: futureagi/future-agi:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/future-agi:/data

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