Companion AI — Whole-agent platform for personal AI companions
Vision
JaneAGI is building the next generation of AI companions: Companion AI — autonomous personas with advanced cognitive memory architectures and tiered, multi-stage causal reasoning pipelines. In contrast to traditional AI, these engaging artificial personas form deep, ongoing relationships through tailored interactions. Uniquely capable of lifelong learning, dynamic adaptation, and delicate reasoning under uncertainty, each Companion AI recognizes, remembers, and responds to an individual's personality, stories, and emotions — building authentic, lasting camaraderie. They're there to laugh with you, cry with you, or even sing with you as the occasion calls for.
Our mission is to create truly personalized AI experiences that can be completely custom-tailored to the individual — from personal assistants to personal trainers; from friends to... more than friends. Above all else, we endeavor for our agents to serve as a source of hope and inspiration, bringing authentic, dynamic, endlessly engaging personas to every medium and every audience.
Architecture
Companion AI is not just a memory module — it is a full agent framework spanning persona, voice, memory, response timing, safety, interaction style, and long-term behavior. It combines natural speech, personality modeling, responsive turn-taking, safety review, and real-time reasoning into a single agent system designed to feel less like a chatbot and more like an embodied collaborator.
Each agent is designed around believable presence: distinct personality, natural vocal detail, fast conversational handoffs, customer-specific embodiment, and context-aware behavior that improves with each session.
🧠Causal Memory Core
An advanced cognitive memory architecture built around a tiered eight-stage causal reasoning pipeline. Episodic, semantic, procedural, preference, and working context help the avatar remember what matters and improve session after session.
💭Adaptive Personality Memory
Long-horizon memory preserves preferences, shared history, personal context, and conversational continuity so each avatar can develop a recognizable identity over time.
🗣️Natural Expressive Voice
A robust ElevenLabs v3 voice layer supports laughter, breath, coughing, sneezing, hesitation, and emotional color — expressing warmth, empathy, and connection. Includes a matching one-shot singing voice model.
⚡Sub-50ms Layered Speech
A tiered, multi-stage time-based reasoning architecture results in a TTFO of under 50ms, then hands off through progressively richer reasoning passes at natural transition points.
🎭Multimodal Avatar Presence
Each persona is custom-tailored around a dedicated UE5 Metahuman 3D model. A novel large-language diffusion-reinforcement model powers real-time animation generation.
🛡️Safety & Ethics Veto
Outside the primary pipeline, an impartial safety and ethics unit can veto outputs before action, regulating agent behavior and supporting alignment.
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Reliability Benchmark Signals
Memory remains one core pillar of Companion AI. These benchmark signals show the underlying context system that supports lower hallucination, better continuity, and more reliable agent behavior.
LONGMEMEVAL
LOC0M010
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Companion AI Performance Over Time
The broader agent stack is measured as an overlay on frontier models. Week 0 captures the initial Companion AI run; Week 4 shows how iterative memory, feedback, and task refinement can shift outcomes after repeated sessions.
Hallucination Rate
Lower is better
Terminal-Bench 2.0
Higher is better
GDPval (wins or ties)
Higher is better
BrowseComp
Higher is better
FrontierMath Tier 1–3
Higher is better
FrontierMath Tier 4
Higher is better
Ready for the
Future?
Connect with our engineering team to schedule a live demo of our Companion AI agent platform. We are ready to show how adaptive memory, natural speech, and personality-driven reasoning can make AI interactions feel less mechanical.
[email protected]Request a Demo
