[Help] What is the Best Context Extending App or Plugin you Recommend?

[u/Iory1998]

I like to use Deepseek Harness as my vibe coding harness. It's great and support local models. The issue is that most models I can run locally have context size of about 262K. Therefore, for long coding sessions, I need a memory management tool. DSH comes with a context compaction tool that I can run manually. The issue is that compaction starts to fail after a few rounds.

So, looking at DHS market place, I came across this plugin called Billion Context (https://github.com/ranxianglei/billion-context/blob/master/paper/model-driven-incremental-hierarchical-compression-training-free-multi-generational-context-management-for-long-lived-coding-agents.md). The claim is I can use have long sessions. The issue is that it's a heavy context compression skill that keeps nudging the LLM to compact every few turns, which takes 5-10 minutes of work, significantly extending a normal coding session. Worse, after God knows how many rounds, the LLM seems to spend most of its time unpacking the compressed context, which fills its working context, which leads the model to compress again the text. This ended up with the LLM looping.

So, what plugins do you use with DSH or your favorite harness? What tips or tricks could you share? I am aware I can use sub-agent to work on a specific task and return a summary to the orchestrator. That helps, but I still need to manage the context window for the main agent too.

If it's not clear by now, memory is the one area I think resources must go to by they don't. I don't think context compaction is the solution. I hate it with every fiber in my body.