Continuum is a governance stack for AI agents — it catches drift between what an agent was told to do and what it actually does, and produces a human-readable trace when it happens. A deterministic runtime governance layer for autonomous AI systems.
- 🧩 Pi Script — a constraint declaration language
- 🗣️ Rift — a natural language intent compiler (turns plain instructions into enforceable rules)
- 🛰️ Live enforcement layer — watches agent behavior in real time and logs violations
Unlike single-output filters, Continuum manages state over time — it's not checking one response, it's tracking whether an agent stays aligned with intent across a whole session.
I dogfooded Continuum on a real production project (Melody Maestro) for 30 days, no manual review:
- ✅ 260/260 tests passing
- ⚙️ Automated via GitHub Actions
- 🔔 Real violation traces captured live via Discord webhooks, timestamped and public
Spec first, build second. Every ruling is numbered. Every checkpoint is gated. If the system drifts, there should be a trace showing exactly where.
Currently looking for developers dealing with agent drift, hallucinated tool calls, or reliability issues in production AI systems. Open an issue, DM on Discord, or say hi on LinkedIn.