Chief Of Staff
C+ 73 completed
Ai Ml
cli / python · small
335
Files
57,514
LOC
1
Frameworks
8
Languages
Pipeline State
completedRun ID
#305689Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
59.33Framework 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 (12)
RepositoryProject Descriptiondata_accessTestingtestinginfrastructureFactoryNotificationsSearchTestingLoggingDatabase
Open data scored by Repobility · https://repobility.com
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
mainEnsures necessary directories for application data and webhooks exist, then initializes a memory store using a configured path. It processes and ingests events from the designated inbox directory into the memory store, printing the final result of this operation. Finally, it guarantees the memory st
_setup_loggingConfigures the application's logging system to output messages both to a specified file and to standard error. It requires a Path object indicating the desired location for the log file. The function has no explicit return value but performs the side effect of setting up global logging handlers and
_move_fileMoves the file specified by the source path into the destination directory. If a file with the same name already exists in the destination, it renames the incoming file by appending a precise timestamp to avoid overwriting. The function accepts two path objects, a source file path and a destination
AI Prompt
Build me an AI orchestration system, similar to a Chief of Staff agent, using Python. I need it to manage and integrate multiple expert agents, which should be configured via YAML files. The system must support persistent memory using SQLite for facts, and it needs document search capabilities that ingest various file types like .txt, .md, .py, .json, and .yaml, utilizing ChromaDB for vector search. Additionally, please include integrations for Apple Calendar and Apple Reminders, allowing for full CRUD operations, and the ability to send macOS notifications.
python cli ai agent orchestration sqlite chromadb yaml macos calendar automation
Generated by gemma4:latest
Catalog Information
Jarvis is an AI orchestration system designed for organizations to manage and integrate multiple expert agents.
Description
Jarvis is an artificial intelligence (AI) orchestration system that enables the management and integration of multiple expert agents. The system features a Chief of Staff that oversees the coordination of these agents, allowing for more efficient and effective decision-making processes. Jarvis is built using a range of technologies, including Python, Bash, and various AI libraries.
الوصف
يعد جارفيس نظامًا لتنسيق الذكاء الاصطناعي يسمح بمراقبة ودمج العديد من الوكلاء الخبيرين. يتميز النظام بقيادة كبير الموظفين التي تدير التخطيط والتوجيه للوكلاء، مما يتيح عملية اتخاذ القرارات أكثر كفاءةً وفعالية. تم بناء جارفيس باستخدام مجموعة متنوعة من التكنولوجيات، بما في ذلك لغة بايثون ولغة باش ومتعددات الذكاء الاصطناعي.
Novelty
7/10Tags
ai-orchestration expert-agent-management decision-making-support organization-optimization artificial-intelligence-integration
Technologies
anthropic chromadb huggingface playwright rich
Claude Models
claude-opus-4.6
Quality Score
C+
73.3/100
Structure
72
Code Quality
74
Documentation
75
Testing
85
Practices
60
Security
75
Dependencies
90
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (67% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- 2649 duplicate lines detected \u2014 consider DRY refactoring
- 5 'god files' with >500 LOC need decomposition
Recommendations
- Add a LICENSE file (MIT recommended for open source)
Security & Health
11.3h
Tech Debt (A)
Medium
DORA Rating
A
OWASP (100%)
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
PASS
Quality Gate
A
Risk (0)
Unknown
License
5.5%
Duplication
Languages
Frameworks
pytest
Symbols
method445
variable373
function196
constant154
class96
property18
macro2
Concepts (15)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Source: Repobility analyzer · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Personal AI Chief of Staff with persistent memory, document search, expert agents, and native macOS integrations. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | data_access | Detected data_access layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Notifications | Detected from 8 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 5 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 94 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 5 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Database | Detected from 10 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 49 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Authentication | Detected from 11 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Analytics | Detected from 8 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BinComp Dependency Hardening
All packages →7 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.