future-agi is an open-source LLMOps tool published on GitHub by future-agi. With 2.2k stars on GitHub, it was last updated in October 2026. Related topics: agent-evaluation, ai-agents and ai-evals.
“Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.”
— future-agi, project description on GitHub
Details
| Category | LLM Frameworks & MLOps |
|---|---|
| GitHub stars | 2,175 |
| Forks | 685 |
| Language | Python |
| License | Apache-2.0 |
| Last updated | |
| Owner | future-agi |
| Website | futureagi.com |
| Repository | future-agi/future-agi |
Tags
agent-evaluationai-agentsai-evalsai-gatewayai-observabilityevalsevaluation-frameworkguardrails
Repository facts from the GitHub public API, refreshed October 18, 2026. The quoted tagline is written by the project owner; the summary above is generated from public facts.