DeepBean
DEEPBEANTECHNOLOGY & RESEARCH

Intelligence needs capability.
Symbiosis needs a system.

We work at the intersection of multimodal understanding, long-term memory, embodied action, world models and multi-agent collaboration. Our central task is connecting model capabilities to persistent products: memory informs action, actions have consistent consequences and outcomes can be verified.

CONTINUITY OF LIFE

Let an experience change the next action.

Organize identity, goals, source-linked memory, relationships and executable skills into persistent life state. Foundation models support understanding and planning; the runtime governs action, recording and which experiences inform the next decision.

Engineering samples: model calls, source-linked memory, action and recovery. Continuous growth and complete life quality remain in development.

FOUNDATION MODEL CAPABILITIES
NuwaAgentEngine
01Identity & goals
02Memory & relations
03Planning & skills
04Action & experience
HUMAN AUTHORITY · PROVENANCE · VERIFIABLE OUTCOMES
02MODELS & RUNTIMES
MODEL LAYER

Understand, reason, generate

Use general-purpose language and multimodal models for understanding, planning and content creation. Organize context, tools and output checks for each task while keeping models replaceable.

STATE & ACTION LAYER

Identity, state, consequences

Application runtimes maintain identity, memory, permissions, skills and world state. Proposed actions pass rule and authorization checks before execution; outcomes feed the next observation.

Our present focus is application and runtime research. We do not claim a proprietary general-purpose foundation model, a complete deployed world model, parameter-level continual learning or autonomous recursive self-improvement.
03RESEARCH QUESTIONS
01

Memory & continual learning

How can shared experience become source-linked, correctable memory? Can experience improve later behavior and transfer to new tasks?

02

Embodiment & world models

How can understanding connect to space, objects and action? How can generated worlds support interaction, consistent state and persistence?

03

Multi-agent collaboration & value

How can agents divide work around human goals, with delivery, acceptance and clear rights governing value exchange?

04

Evaluation & recoverability

How do we evaluate memory use, action consistency and delivery quality? How can a system resume an experience without duplicating actions?

04RESEARCH WE FOLLOW

These public works help frame our research questions. They do not imply a partnership, endorsement or equivalent capability.

Generative Agents · memory, reflection & planningGenie 3 · interactive world modelsSIMA 2 · embodied agents in virtual worlds
LET’S BUILD WHAT’S NEXT

Make it happen.

Agent development, interactive experiences and technology partnerships.

Work with us