Eflclaw
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monorepo / rust · medium
1,083
Files
270,995
LOC
5
Frameworks
15
Languages
Pipeline State
completedRun ID
#325439Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Previous runs
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| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| #49881 | failed | CREDENTIAL_SCAN | 2026-03-19 23:41:36 | — | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
69.40Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:31Deduplication group #61652
Member of a group with 2 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Frontend
About: code-quality intelligence by Repobility · https://repobility.com
AI Prompt
Create a description for an AI agent runtime based on the provided repository structure. The agent should feature persistent memory, proactive voice capabilities, and a highly modular architecture, all built using pure Rust. I need to highlight its ability to handle multi-channel messaging (like Telegram and Email), full-text search over conversation history, and support for text-to-speech voice messages. The project should feel production-ready and be a fork of an existing project, emphasizing its robustness over the upstream version.
rust ai-agent runtime memory modular voice telegram email llm
Generated by gemma4:latest
Catalog Information
Persistent memory. Proactive voice. Modular architecture. Production-ready AI agent runtime in pure Rust.
Description
Persistent memory. Proactive voice. Modular architecture. Production-ready AI agent runtime in pure Rust.
Novelty
3/10Tags
rust ai-agent runtime memory modular voice telegram email llm
Claude Models
claude-opus-4-6
Quality Score
D
54.6/100
Structure
71
Code Quality
40
Documentation
76
Testing
55
Practices
45
Security
40
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Containerized deployment (Docker)
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- 3 files with critical complexity need refactoring
- Potential hardcoded secrets in 31 files
- 53831 duplicate lines detected \u2014 consider DRY refactoring
- 116 'god files' with >500 LOC need decomposition
Recommendations
- Add a LICENSE file (MIT recommended for open source)
- Move hardcoded secrets to environment variables or a secrets manager
- Address 661 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
225.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
Apache-2.0
License
10.9%
Duplication
Languages
Frameworks
React Jetpack Compose Axum pytest Vite
Concepts (2)
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| Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Persistent memory. Proactive voice. Modular architecture. Production-ready AI agent runtime in pure Rust. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Frontend | web-frontend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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