Future AGI

Future AGI is an AI Agents & Automation tool that helps build, test, and monitor self-improving AI agents. It provides tools for hallucination detection, RAG observability, and AI agent evaluation.

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At a glance

Pricing

Freemium · Usage-based · Open Source · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Future AGI?

Future AGI is an open-source, end-to-end AI agent engineering platform designed to cover the full lifecycle of AI agent development, from simulation and evaluation to optimization, monitoring, protection, and guardrailing. It helps teams build self-improving agents, detect hallucinations with purpose-trained evaluation models, and monitor performance in real-time. The platform offers sub-100ms guardrails to block unsafe outputs and provides continuous production monitoring to catch accuracy drift. It integrates with popular agent frameworks like LangChain and LlamaIndex, offering both Python and TypeScript SDKs. Future AGI aims to provide a comprehensive solution, eliminating the need to stitch together multiple vendors for different stages of AI development.

Best used for

Ideal for developers and AI engineers who need to build, test, and deploy reliable AI agents, detect and fix hallucinations, and ensure agent safety in production. Especially valuable for teams looking for an end-to-end platform to manage the full AI agent lifecycle without stitching together multiple tools.

Common actions

evaluate AI agents

monitor AI performance

detect AI hallucinations

implement AI guardrails

simulate AI scenarios

Capabilities

Key features

AI agent evaluation
Hallucination detection
RAG observability
Real-time guardrails
Open-source platform
Production monitoring
No-code evaluation

Target Audience

developer

Integrations

langchainllamaindexcrewaiautogenjaegerprometheusgrafana

Pricing & Plans

Freemium · Usage-based · Open Source · Enterprise

Not publicly disclosed. Check futureagi.com for current pricing.

FAQs

What makes Future AGI's evaluation models more accurate than LLM-as-a-judge?

Future AGI uses purpose-trained evaluation models built specifically for scoring, unlike generic LLM judges which suffer from biases like verbosity and positional bias. These models provide error localization, pinpointing exact issues across various data types, at a fraction of the latency and cost of frontier models.

Is Future AGI open source and can it be self-hosted?

Yes, Future AGI is fully open source, allowing inspection of its evaluation, guardrail, and tracing mechanisms. Users can self-host for complete data sovereignty, use the managed cloud, or deploy via AWS Marketplace, ensuring control over evaluation logic and data.

How does Future AGI's pricing work, and what's included in the free tier?

Future AGI offers a freemium model with usage-based billing across six dimensions, each with generous monthly free tiers. The free plan includes 50 GB storage, 2K AI credits, 100K gateway requests, and unlimited team members, projects, and API access, with no credit card required to start.

How quickly can I integrate Future AGI into my existing agent workflow?

Most teams can achieve their first evaluation in under 10 minutes. Future AGI's SDK integrates with any agent framework (LangChain, LlamaIndex, etc.) with just a few lines of code. Its OpenTelemetry-native TraceAI library exports traces to existing observability stacks without requiring a workflow rebuild.

Can non-technical team members use Future AGI for evaluations?

Yes, the visual platform enables product managers, QA teams, and domain experts to configure evaluations, compare agent workflows, and review quality dashboards without writing code. A no-code prototyping module also allows non-developers to simulate multi-step agent configurations.

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Coding & Development › Open Source & Models Coding & Development › Prompt Engineering Coding & Development › Testing & QA

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