Marie Curie
Short-Term Memory, STM
Long-Term Memory, LTM
zero hallucination
“When loading and perceiving the world model, it will tell you if it doesn’t know
Structure and Symbols: a stable C++ template system, lightweight and Sublime-compatible, without reliance on heavy IDEs.”
Billing is function-count based on edge structures, not on tokens, liberating structural scalability from token limits.”
A2.5 Stage (Upgraded): Chief Architect
Core Objective: To “sweep” all current coding tools on the market (e.g., CodeX, Claude code, Cursor).
Key Capabilities and Functions:
1. System-Level “World Model”
- Capability Description: Possesses the ability to process a context of tens of millions of Tokens, enabling the complete and holistic analysis of complex projects containing hundreds of thousands of lines of code in a single pass.
- Technical Advantage: Our “graph-structured” world model, with its graph traversal inference process, is “not heavily reliant on GPUs.” This means we can achieve a more profound analysis on extremely low-cost cloud servers (such as the L4 ) than competitors can on expensive clusters.
2. Cross-Domain “Integration” Capability
- Capability Description: The AI’s “brain” must contain a first-principles understanding of a complete application stack. This is a mandatory capability for the A2.5 stage, which includes:
- Network Protocols: Understanding the internal logic of communication protocols such as HTTP/2, gRPC, and WebSocket.
- Encoding Formats: Understanding the structure of data interchange formats like JSON, Protocol Buffers, and FlatBuffers.
- Databases: Understanding SQL queries, database schemas, and the principles of Object-Relational Mapping (ORM).
3. Preliminary “Reverse Engineering” Capability
- Capability Description: To understand a complete “engineering project,” the AI cannot only look at source code. It must begin to understand compiled, source-unavailable “black boxes.”
- Specific Functions: At the A2.5 stage, the AI needs to be able to:
- Read and understand a
.hheader file to infer the interface and functionality of a closed-source.dllor.solibrary. - Perform preliminary pattern recognition and structural inference on simple binary data formats.
- Read and understand a

The meaning of 100% autonomous creation.”