Optimize installation size with lazy-loading dependencies
TL;DR
Heavy backends like messaging adapters, image-gen SDKs, and voice/TTS providers are now lazy-installed on first use. This reduces the initial installation footprint and speeds up setup.
What changed
Hermes Agent added lazy installation for heavy backends. Messaging adapters, image generation SDKs, and voice or TTS providers now install only on first use rather than during the initial bash script run. The update applies to the open-source agent that supports 16 platforms and runs on Python 3.10+.
The change cuts the starting disk footprint and shortens setup time on fresh VPS instances. No new configuration files or flags are required.
Why it matters
Vibe Builders who self-host on $5 monthly CPU servers gain a smaller base install that leaves more room for Ollama models and persistent memory stores. The move reduces one practical barrier while the agent still demands an always-on machine and manual gateway tokens.
It pressures lighter hosted agents by making the self-hosted path less punishing on storage. The underlying bet is that users will accept ongoing VPS costs and YAML edits if the first setup feels quick and contained.
How to use it
Run the latest install script from the Nous Research GitHub repository on a clean VPS. The lazy behavior activates automatically after the first command that touches a heavy backend.
Trigger an image generation task or add a new messaging token to observe the on-demand download. Check logs for confirmation that only the needed packages pulled in.
Watch for
Track actual disk usage before and after activating a heavy feature to confirm the claimed savings. The improvement fails if transitive dependencies still bloat the environment on first load. The next logical step would be optional module groups that let users exclude entire categories at install time.
Who this matters for
- Vibe Builders: Deploy on cheaper, low-storage VPS instances to save budget for larger local Ollama models.
- Developers: Reduce CI/CD overhead and cold-start times by only pulling heavy SDKs when specific features trigger.
Harsh’s take
Hermes Agent is making a smart move by ditching the monolithic install. Forcing users to download every possible messaging and TTS adapter during the initial bash run was a major friction point for self-hosted setups. This lazy-loading approach directly benefits operators running on lean hardware where every gigabyte of disk space matters for model weights.
However, the core challenge for Hermes remains the manual configuration burden. While a faster setup is great, the agent still requires significant YAML tinkering and token management.
by Harsh Desai
About Hermes Agent
View the full Hermes Agent page →All Hermes Agent updatesMore from Hermes Agent
- FeatureEnable LSP semantic diagnostics on file writes
Run a real language server against edited files during `write_file` or `patch` operations to surface type errors, undefined symbols, and missing imports directly to the agent.
- App UpdateReduce cold-start launch times by up to 19 seconds
Shave ~19 seconds off the `hermes` launch time by deferring heavy imports, caching model catalogs on disk, parallelizing doctor checks, and skipping the welcome banner in single-query mode.
- App UpdatePublish Hermes Agent as a native PyPI package
Hermes Agent is now available directly on PyPI. Users can install the agent and its full TUI experience using `pip install hermes-agent` without needing to clone the repository.