iOS/Apple Agent Foundation - Library Integration Epic
Overview
This epic tracks the integration of essential iOS/Apple libraries and frameworks for building production-ready agents on Apple platforms.
Related Issues
Core ML & AI
- #1 MLX Swift - On-device ML computation & LLM/VLM inference
- #2 MacPaw OpenAI - Native Swift SDK for OpenAI API
- #3 coremltools - Model conversion tooling
- #4 CreateML - On-device training & fine-tuning
- #5 Swift-Transformers - Pretrained transformer models
Networking & Communication
- #7 WebRTC-iOS - Peer-to-peer communication
- #8 SwiftNIO - Async network I/O framework
- #9 Vapor - Server-side Swift (optional)
- #14 Apple Network - Low-level network control
- #15 TypeScript MCP SDK - Model Context Protocol
Data & Storage
- #10 GRDB.swift - Persistent storage & vector database
Native Apple Frameworks
- #11 Natural Language - On-device NLP processing
- #12 Speech - Voice recognition & transcription
- #13 Vision - Computer vision & image analysis
Orchestration
- #6 LangChain-Swift - Agent orchestration & chain logic
Priority Breakdown
High Priority (Core Infrastructure):
- MLX Swift (#1)
- MacPaw OpenAI (#2)
- coremltools (#3)
- Swift-Transformers (#5)
- SwiftNIO (#8)
- GRDB.swift (#10)
- Natural Language (#11)
- Speech (#12)
- Vision (#13)
- MCP SDK (#15)
Medium Priority (Advanced Features):
Low Priority (Optional):
- Vapor (#9)
References
All issues include:
- Library/framework URLs
- Role & purpose descriptions
- Benefits & use cases
- Priority assessments
- Integration notes
Next Steps
- Review and prioritize issues
- Create technical specs for high-priority integrations
- Define architecture for library interactions
- Begin implementation with core ML stack (#1, #2, #3)
- Build networking layer (#8, #15)
- Add multimodal capabilities (#11, #12, #13)
Notes
- MLX is research-focused; evaluate production readiness
- Consider Swift MCP SDK in addition to TypeScript version
- All integrations should follow OpenAPI-first architecture