Open-source tools to evaluate, observe, and optimize enterprise AI agents.
Product memo
Enterprises building and deploying AI agents use Future AGI to evaluate performance, observe behavior, and optimize for accuracy. It identifies and automatically fixes hallucinations and errors, ensuring agents perform reliably. This positions the platform as a critical tool for maintaining high standards in LLM operations.
For who
Enterprises building and deploying AI agents
Solves what
AI agent evaluation, observability, and optimization for accuracy
- End-to-end AI agent tracing
- Automated error detection and fixing
- LLMops and agent performance monitoring
In their own words
AI Agents hallucinate,
Build self-improving agents. Catch what breaks. Know why. Fix it. Ship smarter every time.
Commercial cues
Model
usage based
Free tier
Yes
Trial
Available
Pricing Strategy
Future AGI offers a free tier, with Enterprise handled through custom pricing.
- • A generous free tier removes friction for initial AI agent evaluation.
- • Tiered plans bundle increasing data retention and knowledge base limits.
- • Enterprise handles custom requirements.
Operator context
Founded
Aug 2025
HQ
India
Platform
Web app
Audience
Developers
Public footprint
+1 more footprint links
Tech stack
Builder Strategy
- Strategy Type
- Open Source Commercial
- Stage
- Vc Growth
- Effort
- Complex Stack
About Future AGI 2.0 - Now Fully Open Source Expand
Future AGI offers an open-source platform designed for enterprises that build and deploy AI agents. It focuses on core jobs: evaluating agent performance, providing LLM tracing and observability, and optimizing for accuracy.
The platform includes automated error detection and tools for building self-improving AI agents, along with guardrails and cost tracking. By offering a specific free tier and a usage-based pricing model, Future AGI removes friction for enterprises to adopt advanced LLMOps tools and maintain reliable AI deployments.