Tool overview
Future AGI is listed under AI Governance Safety & Evaluation AI tools.
What is Future AGI?
Future AGI is an open-source platform for tracing, evaluating, simulating, guarding, and improving AI applications and agents. It combines datasets, prompts, annotations, dashboards, an AI gateway, model routing, guardrails, and hosted or self-hosted operation.
Best for
AI engineering teams testing and operating production agents
Who is it for?
Decision note
Best for engineering teams that want a broad reliability stack with transparent usage pricing and a genuinely self-hostable open-source option.
Key features
Tracing, evaluations, dashboards, and alerts
Text and voice agent simulation
AI gateway with routing, caching, and guardrails
Datasets, prompts, annotations, and self-hosting
Use cases
Evaluate LLM and agent quality
Monitor production traces and failures
Simulate users before launch
Route and guard model requests
Pros
- Generous recurring free tiers
- Full REST API and SDK access
- Apache-2.0 self-hosted platform
Cons
- Usage spans several billing dimensions
- Compliance add-ons increase monthly cost
- Self-hosting requires infrastructure ownership
Limitations
Evaluation scores and guardrails need task-specific calibration and human review. Usage-based costs depend on storage, credits, requests, cache hits, and simulation volume, while self-hosting adds operational responsibility.
Pricing details
Billing options
Pricing note
Free starts at $0 with recurring allowances. Pay-as-you-go begins after free limits; published rates include $1 per 100,000 cache hits, $2 per GB of storage, and $5 per 100,000 gateway requests. Boost is $250 monthly, Scale $750, and Enterprise starts at $2,000.
Supported languages
- English
Integrations
OpenAI
Anthropic
Google Gemini
AWS Bedrock
LangChain
LlamaIndex
OpenTelemetry
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