The next step for this pattern is a summarization hook. When the window drops old turns, instead of discarding them you summarize the oldest N turns into a single system message. This gives the agent compressed long-term memory without growing the context.
The other obvious extension is multi-session management: a session registry that maps user IDs to active windows and codec handles. Right now the session ID is just a directory path. Wrapping that in a proper session manager lets you expire inactive sessions, rotate JSONL files, and query across sessions.
If you are running a multi-user service, also look at agent-rate-fence to put per-user limits on how many turns per minute each session can generate. Without that, one user with a fast polling loop can starve everyone else.
The libraries used in this post are part of the Hermes Agent Challenge sprint. Each one solves a single problem with zero or minimal dependencies. The goal is a stack you can compose without fighting framework opinions.
All repos are at MukundaKatta on GitHub. Issues and PRs welcome.