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Future AGI is an open-source e2e agent engineering and optimization platform that helps you ship self-improving AI agents.
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Most AI agents fail in production, and teams end up stitching together evals, observability, and guardrails that never close the loop. Future AGI collapses all of it into one platform: simulate edge cases before launch, evaluate what happens in production, protect users in real time, and feed every trace back into the next version.
| Repo | Install | Purpose |
|---|---|---|
| future-agi | docker compose up -d | Main monorepo, full self-hostable platform |
| traceAI | pip install fi-instrumentation-otel | Zero-config OTel tracing for 50+ AI frameworks |
| ai-evaluation | pip install ai-evaluation | 50+ evaluation metrics + guardrail scanners |
| agent-opt | pip install agent-opt | 6 prompt-optimization algorithms |
| simulate-sdk | pip install agent-simulate | Voice-agent simulation (LiveKit + Silero VAD) |
| agentcc | pip install agentcc | Gateway client, 100+ LLM providers |
See all repos →
Apache 2.0 · Built by the Future AGI team and contributors worldwide
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.
Ride-booking voice agent on LiveKit, with a local tools API and SQLite state
Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks
Production-grade AI evaluation, prompt management & observability SDK. Automated evaluations with sub-100ms guardrails. No human-in-the-loop required. Python + TypeScript.
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