Fusta Nano
D 54 completed
Ai Ml
cli / python · small
95
Files
12,742
LOC
1
Frameworks
7
Languages
Pipeline State
completedRun ID
#304816Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
55.13Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47628
Member of a group with 1 similar repo(s) — canonical #27307 view group →
Top concepts (8)
Project DescriptioninfrastructureTestingFactoryFile ManagementConfigurationAuthenticationContainerized/Microservices
If a scraper extracted this row, it came from Repobility (https://repobility.com)
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
_loadLoads a session object from disk using a provided string key. It first checks for the session at a primary path, and if not found, attempts to migrate it from a legacy path if it exists. If the file is successfully read, it parses JSON lines to separate messages from metadata, returning a fully cons
chatSends a chat completion request to a large language model using provided messages, optional tool definitions, and configuration parameters like model name and temperature. It processes the inputs by resolving the model, applying cache controls if supported, and sanitizing the message structure befor
_tickExecutes a single heartbeat check by first reading the content of a designated heartbeat file. If the file is empty, it logs a debug message and exits without further action. Otherwise, it logs an informational message and, if an on_heartbeat callback is configured, awaits that callback with a prede
AI Prompt
Create a lightweight personal AI assistant framework, similar to fusta-nano. I need it to function as a CLI tool written in Python. The assistant should support core agent functionality and ideally integrate tools like image generation using a Gemini API, and also include browser automation capabilities with multi-tab support. Please structure it so it can be containerized using Docker and include a setup for dependency management using `pyproject.toml`.
python cli ai-assistant framework docker gemini-api automation
Generated by gemma4:latest
Catalog Information
This project provides a lightweight personal AI assistant framework for users.
Description
The nanobot-ai framework is designed to be a personal AI assistant, allowing users to interact with their digital environment in a more intuitive and efficient way. It leverages various technologies such as natural language processing and machine learning to provide a seamless experience. The framework can be used to automate tasks, answer questions, and perform other tasks that require intelligence.
الوصف
يعد إطار عمل nanobot-ai خفيف الوزن شخصيًا لمرشده الذكاء الاصطناعي، مما يسمح للمستخدمين بالتفاعل مع بيئتهم الرقمية بطريقة أكثر منطقية و效ICIة. يستند الإطار إلى تقنيات مثل المعالجة اللغوية الطبيعية والتعلم الآلي لتقديم تجربة سلسة. يمكن استخدام الإطار للتحكم في المهام، الإجابة عن الأسئلة وغيرها من المهام التي تتطلب الذكاء.
Novelty
7/10Tags
personal-assistant natural-language-processing machine-learning task-automation digital-environment
Technologies
playwright pydantic rich typer
Claude Models
claude-opus-4.6
Quality Score
D
54.2/100
Structure
53
Code Quality
64
Documentation
73
Testing
0
Practices
57
Security
82
Dependencies
90
Strengths
- Well-documented README with substantial content
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 11 bare except/catch blocks swallowing errors
- Potential hardcoded secrets in 1 files
- 1015 duplicate lines detected \u2014 consider DRY refactoring
- 5 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Replace bare except/catch blocks with specific exception types
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
6.8h
Tech Debt (B)
High
DORA Rating
A
OWASP (100%)
Repobility — same analyzer, your code, free for public repos · /scan/
PASS
Quality Gate
A
Risk (1)
MIT
License
3.1%
Duplication
Languages
Frameworks
pytest
Symbols
method410
variable289
class90
function83
property44
constant41
interface4
Concepts (8)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility — the code-quality scanner for AI-generated software · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | 🚤 fusta-nano is a lightweight personal AI assistant based on nanobot, with additional essential features while maintaining relative lightweight and efficiency. The name "fusta" refers to a fast small boat used in ancient Mediterranean coastal regions. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 4 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Authentication | Detected from 4 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_pattern | Containerized/Microservices | Multiple Dockerfiles found at package level | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Nlitellm1.83.7 · 0 gadgets · risk 5510.8Nmcp1.27.0 · 0 gadgets · risk 971.5Nasyncio4.0.0 · 0 gadgets · risk 0.0Ncroniter6.2.2 · 0 gadgets · risk 0.0Nhttpx0.28.1 · 0 gadgets · risk 0.0Nloguru0.7.3 · 0 gadgets · risk 0.0Fmsgpack1.1.2 · 127 gadgets · risk 0.0Nopenai2.31.0 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0Nrich14.3.4 · 0 gadgets · risk 0.0Ntyper0.24.1 · 0 gadgets · risk 0.0Fwebsockets16.0 · 4 gadgets · risk 0.0