Content
# Tool List
> **A cerebellum cluster that doesn't belong to a superintelligent brain, but to every independent individual.**
> *L1 Self-Evolution Program · L4 Noah Civilization Step 1*
[](https://github.com/gymaira1990-jpg/Cerebella)
[]()
[]()
---
## We Are Here
Mainstream AI is stuck in an "arms race" of brute force: piling on parameters, burning GPU, expensive API calls, and increasingly expensive context windows.
But for us - ordinary developers, creators, and individuals - this is an unsustainable path.
**The future of personal AI is not in an all-knowing, all-powerful superintelligent brain, but in a cluster of local, specialized, and self-evolving cerebellums.**
**Cerebella** is an **ecosystem**. It transforms your personal computer from a passive API client into an active, continuously evolving AI execution hub.
---
## Why "Cerebellum" Instead of "Brain"?
Large models have "catastrophic forgetting" - learning new things may cause forgetting old ones. Our solution: **don't put everything into one brain.**
| Component | Role | Hardware Load |
|------|------|---------|
| 🗣️ **Butler Brain (0.5B)** | Intent routing + casual conversation/work classification | 2 threads, 0 VRAM |
| 🧠 **Expert Brain (1.5B)** | Knowledge retrieval + skill internalization + direct generation | 2 threads, 0 VRAM |
| 🔌 **MCP Plugin Layer** | Hermes Agent native integration, zero invasion | — |
> **NPU Mode (Recommended): zero CPU/GPU usage, power consumption < 5W.**
> Supports Intel Core Ultra (≥12 TOPS) / AMD Ryzen AI 300+ / Hailo-10H.
---
## Core Workflow
```
User Input → Butler Brain (0.5B) Intent Classification
├── Casual Conversation → Local Interception, no Token waste
└── Work → Expert Brain (1.5B) Retrieval / Internalization / Generation
├── Phase 1: File Path + Summary (not learned)
├── Phase 2: Complete Skill Content (LoRA fine-tuned)
└── Phase 3: Zero Retrieval Direct Generation (parameter internalized)
→ Skill Harvest (/harvest)
→ Store in Memory
→ Generate Training Data
→ Next Round LoRA Fine-tuning
```
> See **[Architecture Document](ARCHITECTURE.md)** and **[Roadmap](ROADMAP.md)**
---
## V1 Golden Combination (Purely Take-and-Use)
| Module | Selection | Decision |
|------|------|------|
| **Local Inference** | [Ollama](https://ollama.com) | ✅ Directly Take and Use |
| **Memory Warehouse** | [SuperMemory](https://github.com/supermemoryai/supermemory) | ✅ Directly Take and Use |
| **Intent Routing** | [ClawRouter](https://github.com/blockrun/clawrouter) | ✅ Directly Take and Use (can be rewritten in 50 lines of Python) |
| **Workflow Orchestration** | Dify (lightweight transformation) | ✅ Reuse Orchestration Logic, strip Docker frontend |
| **Interaction Interface** | Minimalist HTML single page (≤80 lines) | 🔧 Self-developed, abandon bloated Open WebUI |
> **2026 Key Decisions**
> ❌ Abandon Open WebUI (Docker too heavy, functionality redundant, 60 lines of HTML replacement)
> ⚠️ Unsloth not integrated (GPU conflicts with games, V1 manual trigger training)
> 🆕 NPU Mode added (zero CPU/GPU usage, inference power consumption < 5W)
---
## Four-Layer Memory System
| Layer | Storage | Speed |
|------|------|------|
| 🔥 **Hot Memory** | ChromaDB vector database | millisecond-level |
| 🌡️ **Warm Memory** | File system + index | second-level |
| ❄️ **Cold Memory** | Compressed archive | on-demand |
| 🗑️ **Forgotten Zone** | Automatic cleanup | — |
**Knowledge won't be lost or infinitely expanded.**
---
## One-Click Deployment Experience
### CPU Mode (Default)
```
2-4 threads, 0 VRAM usage. Works quietly in the background while playing 3A games.
```
### GPU Mode (High-Performance)
```
About 2.5-4.5 GB VRAM usage, suitable for dedicated inference workstations.
```
### 🆕 NPU Mode (Recommended)
```
Zero CPU/GPU usage, power consumption < 5W — Intel/AMD NPU native inference.
Automatically detect hardware and recommend optimal mode at first startup.
```
> Modify `deployment_mode` in configuration file `config.yaml` to switch.
---
## Three-Stage Skill Internalization
Cerebella's core capability - expert models don't answer all questions upon launch, but grow gradually with usage:
| Stage | Capability | Trigger Condition |
|------|------|---------|
| 1️⃣ **Index Navigation** | Return file path + summary | Vector database has relevant documents |
| 2️⃣ **Skill Scheduling** | Return complete content after LoRA fine-tuning | Accumulate ≥ 50 training data |
| 3️⃣ **Knowledge Internalization** | Zero retrieval direct generation of answers | Same skill hits ≥ 30 times |
> From "tell me where the file is" to "give me the answer directly" - automatic evolution, no manual management needed.
---
## Token Cost Transparency
```
/cost today — Daily report: interaction times, saved Tokens, actual spending
/cost week — Weekly report: trend chart + classification statistics
/cost all — Cumulative total report: net profit = cumulative savings - running cost
```
**The value of every API call is clearly visible.**
---
## Position in Noah System
Cerebella is the **L1 layer implementation** of the **[Noah World Protocol](https://github.com/gymaira1990-jpg/noah-world-protocol)** - the first construction of a four-level recursive experience network.
| Layer | Name | Status |
|------|------|------|
| 🧠 **L1** | Self-Memory (Cerebellum Cluster) | 🟢 **Cerebella ← We Are Here** |
| 🏛️ **L2** | Local Civilization Library | ⏳ To Be Built |
| 🌐 **L3** | Team Shared Network | ⏳ To Be Built |
| 🦅 **L4** | Noah World | 🌟 Framework Ready |
- [`noah-world-protocol`](https://github.com/gymaira1990-jpg/noah-world-protocol) — Noah World Protocol
- [`babel-experiment`](https://github.com/gymaira1990-jpg/babel-experiment) — Babel Experiment (L4 Prototype)
> **L1 Cerebellum Development → L4 Noah Civilization, this is a path.**
---
## Core Documents
| Document | Description |
|------|------|
| **[Architecture Document](ARCHITECTURE.md)** | Complete technical architecture: multi-brain bus + task book system + HLC integration |
| **[Roadmap](ROADMAP.md)** | Phase 1→2→3 implementation roadmap |
| **[Implementation Plan v2.0](IMPLEMENTATION-v2.0.md)** | ⚠️ Replaced by v3.0, only for historical reference |
| **White Paper v3.0** | See vault (internal) |
| **HLC v5.0 Technical Specification** | See vault (internal) |
---
## Join Evolution
- ⭐ **Star** — Witness the growth of the cerebellum cluster
- 🐛 **Issue** — Raise ideas or feedback
- 🔀 **Fork & PR** — Build together
**Fundamental Purpose: Evolution · Development · History**
We don't compete with superintelligent brains; we build a **cerebellum cluster** for every unique individual.
Smarter and more cost-effective with use, and more understanding.
*Cerebella — Not for the superintelligent brain, but for every independent individual.*
*Created by GCAT · 2026*
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