1.7 KiB
1.7 KiB
Project Tracks
This file tracks all major tracks for the project. Each track has its own detailed plan in its respective folder.
- Track: Implement context visualization and memory management improvements Link: ./tracks/context_management_20260223/
- [~] Track: get gui_2 working with latest changes to the project. Link: ./tracks/gui2_feature_parity_20260223/
- Track: Update ./docs/ & ./Readme.md, review ./MainContext.md significance (should we keep it..).* Link: ./tracks/documentation_refresh_20260224/
- Track: 4-Tier Architecture Implementation & Conductor Self-Improvement Link: ./tracks/mma_implementation_20260224/
- Track: MMA Core Engine Implementation Link: ./tracks/mma_core_engine_20260224/
- Track: Make sure gemini cli behavior and feature set have full parity with regular direct gemini api usage in ai_client.py and elsewhere Link: ./tracks/gemini_cli_parity_20260225/
- Track: Add support for the deepseek api as a provider. Link: ./tracks/deepseek_support_20260225/
- Track: Improve conductors use of 4-tier mma architecture workflow, skills, subagents. Introduce a seaprate skill for each dedicated tier and a dedicated cli tool to execute the roles appropriate/gather context as defined for that role's domain. Link: ./tracks/mma_formalization_20260225/