Agentic harness for small models

Hello; I'm a semi-beginner at local AI. I've been experimenting with this tech for a while, and I still haven't found a proper harness that fits my models, hardware, and needs.

My use case is pretty simple: web search, fetching, and browser use. Summarizing websites and having the agent explain stuff to me / Q&A. Potentially some agentic RAG (or whatever RAG-style implementation works best for my specs). Filesystem capabilities and a shell. MCP servers are a must (I use the GitHub, Hugging Face, Reddit, OpenRouter, etc. ones). A sandboxed JS/Python environment would be cool too. PDF reading is highly valuable to me, so that too.

So far, I've tried the following:

1. A large LM Studio plugins/MCP roster. It works, but it's not ideal.
2. Hermes Agent. It injects a ridiculous amount of context and does a bunch of prompt processing and other sci-fi stuff that slows the workflow down way too much.

My specs:

RTX 5050 8 GB VRAM
16 GB DDR5 RAM
13th-gen i5 CPU

My models (best I've found):

• Ornith 1 9B; Unsloth Q4 quant; Q4 KV cache; 65,536 ctx
• Gemma 4 E4B QAT; Unsloth Q4 quant; Q4 KV cache; 131,072 ctx
• Gemma 4 E2B QAT; Unsloth Q4 quant; Q8 KV cache or full precision; 131,072 ctx
• Ling 3.0 Tiny; using their custom llama.cpp fork; Q8 KV cache; Q4 quant; 131,072 ctx
• InternScience_Agents-A1-4B; Bartowski Q6 quant; Q8 KV cache; 131,072 ctx

All running with optimal sampling/settings in LM Studio.

Do you guys know of a lightweight harness that fills these needs? I want to finally settle this nonstop tinkering I'm doing so I can actually stick with something good and only switch models when better ones come out.