What it does
Future AGI is an open-source platform for evaluating, observing and improving LLM and AI agent applications. It puts testing, scoring, monitoring, safety checks and optimization into one product, and describes a loop of simulating, evaluating, protecting, monitoring and optimizing, with data flowing back each time. Simulations run multi-turn conversations against personas and adversarial inputs, in text and voice. Evaluations cover 50+ metrics such as groundedness, hallucination, tool-use correctness and PII, using LLM judges, heuristics and ML. Guardrails include 18 built-in scanners and 15 vendor adapters. Tracing is OpenTelemetry-native across 50+ frameworks, with span graphs, latency and token cost. Six prompt-optimization algorithms use production traces as training data. The Agent Command Center is an OpenAI-compatible gateway over 100+ providers with routing strategies, semantic caching and virtual keys. The core is Apache 2.0 and can be self-hosted with Docker Compose or Helm, or used through a managed Cloud that has a free tier. Self-hosted installs send deployment telemetry by default, which can be turned off.
Capabilities
- OpenTelemetry-native tracing across 50+ AI frameworks
- 50+ evaluation metrics including hallucination and tool-use correctness
- Multi-turn simulations for text and voice agents
- Guardrails with 18 built-in scanners and 15 vendor adapters
- OpenAI-compatible gateway covering 100+ providers
- Six prompt-optimization algorithms fed by production traces
When to use it
- Testing an AI agent against varied personas and edge cases before release
- Tracking latency, token cost and answer quality of a live LLM app
- You need evaluation data and logic to stay on your own infrastructure
- Routing requests across several model providers through one endpoint
Alternatives to explore
- Langfuse
- Phoenix
- Braintrust
- Helicone
