Bastion
F 49 completed
Ai Ml
unknown / typescript · small
197
Files
35,924
LOC
1
Frameworks
8
Languages
Pipeline State
completedRun ID
#362838Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
59.47Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:38Deduplication group #47850
Member of a group with 6 similar repo(s) — canonical #27009 view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt
Create a personal AI fortress application, similar to a self-hosted autonomous platform. I need it to manage and secure a user's digital presence. Key features should include connecting a Telegram bot to a local Claude Code CLI, supporting over 300 skills, and implementing a semantic memory system using Gemini embeddings. The system should feature four autonomous agents: Scout for market intelligence, Analyst for performance reports, Learner for self-improvement, and Executor for code requests. Additionally, it needs a web dashboard with token-based authentication, and ideally, support voice integration using services like Deepgram and ElevenLabs.
typescript ai telegram autonomous agent web-dashboard semantic-memory claude gemini voice-assistant
Generated by gemma4:latest
Catalog Information
Bastion is a personal AI fortress for users to manage and secure their digital presence.
Description
Bastion is an AI-powered tool that provides a secure environment for users to manage their online presence. It uses machine learning algorithms to detect and prevent potential threats, ensuring the user's digital safety. With Bastion, users can monitor their online activities, receive alerts for suspicious behavior, and take action to protect themselves.
الوصف
هو أداة قوية تستخدم الذكاء الاصطناعي لتحسين أمان وجود المستخدم على الإنترنت. يمكن للمستخدمين استخدامها لمراقبة أنشطتهم عبر الإنترنت، وتنبيههم عن أي سلوك مشبوه، وتحديد الإجراءات اللازمة لحمايتهم.
Novelty
7/10Tags
digital-security online-presence-management machine-learning threat-detection alert-system
Technologies
anthropic puppeteer vitest
Claude Models
claude-opus-4.6 claude-sonnet-4.5 claude-haiku-4.5
Quality Score
F
49.3/100
Structure
51
Code Quality
60
Documentation
50
Testing
40
Practices
47
Security
35
Dependencies
60
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- Potential hardcoded secrets in 2 files
- 4634 duplicate lines detected \u2014 consider DRY refactoring
- 4 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
- Move hardcoded secrets to environment variables or a secrets manager
- Address 122 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
34.6h
Tech Debt (C)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
About: code-quality intelligence by Repobility · https://repobility.com
Unknown
License
5.7%
Duplication
Languages
Frameworks
Vitest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility (the analyzer behind this table) · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Your personal AI fortress. Kingston runs here. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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