Devlog#30 - Greeting Everyone ! - THE GREAT PIVOT

Work -

Context forge is now moving away from being a generation based tool and becoming a deterministic agent memory foundation. now the rtransition is done cleanly and now i am working ahead on the current foundation but new features.

work done -

• completed the changed direction of context forge from the old provider and generation system to a repo intellegence system

• removed the ollama integration, provider stack. runtime configuration and the dependencies that came with them. the core should now work without depending on LLM or external APIs

• refactoredthe application services, task understanding, context slelction, ranking and CLI to fit the new direction.

• kept the important foundation like SQLite storage , AST based analysis, repo fingerprints, inremental file change detection and evidence based context rtrieval

• added architecture tests for offline operation , deterministic ranking, file change detection and making sure the context output has proper evidence

• cleaned up all the old tests which were not needed and deleted the whole files which weren’t needed in the future .

Today was mostly about get

ting the big transition properly finished. So for the past days, I had some exams and was not happy with the behavior of Olama, of its undeterministic behavior. So I took this step. I did not change the base foundation. I just changed the overlying architecture, the Olama ones, and removed everything that was made that was not needed. So the commit of today is very large, like 7,000 lines removed, and 1000 lines written. I made one big commit for the entire transition instead of splitting this architectural layer into multiple commits. Transform context force into a deterministic agent memory foundation. I also cleaned up the extra local branches and checked that main was synced with GitHub. Now I’m moving towards a memory vault kind of thing. I have to build on what already exists instead of rewriting everything again, improve the memory idea of foundations, add the shorter commands. Yes, so yeah, this was a pretty big change for our project. There was still a lot to do, but at least reaction is much cleaner now. Hope you like the project and please leave your thoughts or feedback in the comments.

To be completely transparent, I used AI assistance to help me safely untangle and delete parts of the old architecture that were tightly coupled. As a student developer handling a complex refactor alone, trying to manually map out every single breaking change across thousands of lines got overwhelming, and I needed the help to get it done cleanly. No regrets it got the job back on track, and the codebase is in a much healthier place.
With the cleanup done and main fully synced, I’m now shifting focus toward building out the new deterministic memory vault and refining the short-form CLI commands for AI agents. Show writer shipwrights. Please don’t wreck my project.
Hope you like the new direction! Let me know your thoughts or feedback in the comments below.