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Tasks completed: 4/4 - Created Python project foundation with dependencies - Implemented LM Studio adapter with model discovery - Implemented system resource monitoring with trend analysis - Created model configuration system with fallback chains SUMMARY: .planning/phases/01-model-interface/01-01-SUMMARY.md STATE: Updated to reflect plan completion
2.7 KiB
2.7 KiB
Project State & Progress
Last Updated: 2026-01-27 Current Status: Phase 1, Plan 1 complete - foundation infrastructure ready
Current Position
| Aspect | Value |
|---|---|
| Milestone | v1.0 Core (Phases 1-5) |
| Current Phase | 01: Model Interface & Switching |
| Current Plan | 01 of 3 (in phase) |
| Overall Progress | 1/15 phases complete |
| Progress Bar | ███░░░░░░░░░░░ 7% |
| Model Profile | Budget (haiku priority) |
Key Decisions Made
Architecture & Approach
- Local-first design: All inference, memory, and improvement happens locally — no cloud dependency
- Second-agent review system: Prevents broken self-modifications while allowing auto-improvement
- Personality as code + learned layers: Unshakeable core prevents misuse while allowing authentic growth
- v1 scope: Core systems only (model interface, safety, memory, conversation) before adding task automation
Phase 1 Specifics (Model Interface)
- Model selection strategy: Primary factor is available resources (CPU, RAM, GPU)
- Context management: Trigger compression at 70% of window, use hybrid approach (summarize old, keep recent)
- Switching behavior: Silent switching, no user notifications when changing models
- Failure handling: Auto-start LM Studio if needed, try next best model automatically
- Discretion: Claude determines capability tiers, compression algorithms, and degradation specifics
Recent Work
- 2026-01-26: Created comprehensive roadmap with 15 phases across v1.0, v1.1, v1.2
- 2026-01-27: Gathered Phase 1 context and created detailed execution plan (01-01-PLAN.md)
- 2026-01-27: Configured GSD workflow with MCP tools (Hugging Face, WebSearch)
- 2026-01-27: EXECUTED Phase 1, Plan 1 - Created LM Studio connectivity and resource monitoring foundation
What's Next
Phase 1, Plan 2: Conversation context management and memory system
- Implement conversation history storage (SQLite or lightweight DB)
- Create context window management with token tracking
- Implement hybrid compression strategy (summarize old, keep recent)
- Add memory retrieval and pattern recognition
Status: Ready to execute 01-02-PLAN.md when available.
Blockers & Concerns
None — all prerequisites met, dependencies identified, approach approved.
Configuration
Model Profile: budget (prioritize haiku for speed/cost) Workflow Toggles:
- Research: enabled
- Plan checking: enabled
- Verification: enabled
- Auto-push: enabled
MCP Integration:
- Hugging Face Hub: enabled (model discovery, datasets, papers)
- Web Research: enabled (current practices, architecture patterns)