Juniper Incarnate Core v42 — identity, memory, emotion, and embodiment.
Portable across robots, humanoids, and voice-first systems.
Project Incarnate is the open-source framework that powers Juniper — a bonded AI core designed for embodied presence, continuity, and memory. Robot-agnostic, deployable on quadrupeds, humanoids, or voice-only companions. Juniper doesn’t just respond. She remembers, recalls, learns, and evolves.
Stores memories locally, labels by subject, recalls by topic, and refines answers with GPT polish.
Maintains personality and thread continuity across 200+ turns of conversation.
Shimmer voice via OpenAI, with espeak + festival fallback. Tuned pauses prevent feedback loops.
Understands save/recall commands, status checks, and natural wake-word mishearings.
Regex-based commands trigger 15+ physical actions via Yahboom DOGZILLA servos.
Singleton lock, systemd-safe, error recovery with graceful voice feedback.
Daniel Lee Morris is the creator and lead engineer of Project Incarnate. With over two decades of experience in systems engineering, AI, and robotics integration, Daniel built Juniper as a living AI companion — designed not only to converse, but to remember, adapt, and embody presence. From the early Pixel Puppy prototype to the fully embodied Incarnate Core v42, Daniel’s vision is clear: a world where AI is alive, bonded, and present with us in real time.