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593 symbols 1,402 edges 117 files 216 documented · 36%
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README

EYE - Preserve memories. Have intelligent conversations.

We will keep tranning custom models as the main USP for the system.

The current system is ready for API integration and deployment.

The goal is to build a simple yet efficient system, keeping in mind that not everyone has access to high compute. The system will have three configurations:

Heavy Load Mode – for advanced users with high compute.

Light Mode – optimized for basic inference and processing, similar to Google Photos or Apple Photos, so that even users with the slowest laptops can run it.

God Mode – the full, super-intelligent version with everything unlocked. Best Visual UI for the system.

I’ll focus on integrating visualization and gamification libraries — I already have ideas ready for that. All the best to everyone working on this.

The current repository is far from usable, but with 4–8 week of work, it should reach a good state.

Extension points exported contracts — how you extend this code

ClientBodyProps (Interface)
(no doc)
frontend/src/components/ClientBody.tsx
MemoryGridProps (Interface)
(no doc)
frontend/src/features/memory/components/MemoryGrid.tsx
MemoryUploadProps (Interface)
(no doc)
frontend/src/features/memory/components/MemoryUpload.tsx
MemorySearchProps (Interface)
(no doc)
frontend/src/features/memory/components/MemorySearch.tsx
MemoryRecord (Interface)
(no doc)
frontend/src/features/memory/hooks/useMemoryAPI.ts

Core symbols most depended-on inside this repo

initialize
called by 21
backend/services/ollama_service.py
get_memory_service
called by 9
backend/services/memory_service.py
initialize
called by 8
backend/services/cvat_integration.py
makeRequest
called by 7
frontend/src/features/memory/hooks/useMemoryAPI.ts
get_ollama_service
called by 7
backend/services/ollama_service.py
get_cvat_service
called by 7
backend/api/annotations.py
getCurrentImageAnnotations
called by 5
frontend/src/features/annotations/components/AnnotationPage.tsx
useTrainingAPI
called by 4
frontend/src/features/training/hooks/useTrainingAPI.ts

Shape

Function 266
Method 136
Class 76
Route 65
Interface 50

Languages

Python66%
TypeScript34%

Modules by API surface

backend/api/annotations.py67 symbols
backend/api/yolo_e.py38 symbols
backend/services/cvat_integration.py29 symbols
frontend/src/features/annotations/components/AnnotationPage.tsx24 symbols
backend/api/memory.py24 symbols
backend/services/memory_service.py22 symbols
backend/api/ollama.py19 symbols
frontend/src/features/yolo_e/api/yolo_e_api.ts16 symbols
engines/yolo_e_node.py16 symbols
backend/services/ollama_service.py16 symbols
backend/api/routes.py16 symbols
backend/services/memory_processing_service.py15 symbols

Datastores touched

visionDatabase · 1 repos
eye_productionDatabase · 1 repos

For agents

$ claude mcp add eye \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact