Oh, currently there's already a way to set lower compaction targets per model, you want an override per agent as well? Wouldn't setting that per-model be what you need?
The developers getting good output have essentially encoded their engineering standards into the context before writing a single prompt. The ones getting garbage skipped that entirely.
The LLM Wiki by @karpathy is now a built-in skill in Hermes-Agent, give it a try Teknium (e/λ) (@Teknium) Hermes Agent now comes packaged with Karpathy's LLM-Wiki for creating knowledgebases and research vaults with Obsidian! In just a short bit of time Hermes created a large body of research work from studying the web, code, and our papers to create this knowledge base around all of Nous' projects. Just `hermes update` and type /llm-wiki <research x> in a new message or session to begin 🙂 github.com/NousResearch/herm… — https://nitter.net/Teknium/status/2041370915012071577#m
Milla Jovovich has a Github 😏 She's co-developed the highest-scoring AI memory system ever benchmarked with @bensig Totally free and OSS. What a boss. Ben Sigman (@bensig) Excited to announce a new open-source, free-to-use memory tool I have been developing with my good friend @MillaJovovich. The project is called MemPalace and it is an agentic memory tool that scored 100% on LongMemEval – the industry standard benchmark for memory… this is higher on than any other published results – free or paid – and it is available now on GitHub. You can check out Milla’s video about it on her Instagram. I’ll also put some links in the comments below – please try it out, critique it, fork it, contribute to it – and join our discord. — https://nitter.net/bensig/status/2041229266432733356#m