Benchmarking local agent architecture (ReAct loop vs. Graph)

Hi all! I've been building a local agent harness, but before writing the code, I wanted to get some intuition around whether (and how) structuring agent execution as a graph helps vs. standard tool-calling loop? Ran it on an M1 Macbook with 16GB of RAM, Qwen3.6 9B, E-mail organization task with 40 synthetic E-mails. The accuracy between the two was statistically similar, but the efficiency was quite significant (loop used 2.6x more tokens and 1.5x more wall-clock than graph). If you're running agents locally, have you played around with similar setups (e.g. OpenClaw w. Lobster or similar) and noticed the same trend? My experiment is quite limited in many ways so wanted crowd-source some additional perspectives. submitted by /u/treble-maker123 [link] [comments]

Source: r/ollama | 2026-08-26