hermes-agent VS Fabric

NousResearch publishes a detailed security policy for Hermes Agent. It is unusually clear about what the project treats as load-bearing and what it does not. If you operate Hermes in the cloud, read it first; this post is the operator-friendly companion, not a replacement.

OpenCode seemed perfectly workable as a programming assistant. As personal assistants, they all fall short. It's too difficult to really shape their output.

I was briefly impressed with OpenClaw a few times, but ultimately was turned off by not being able to get the models to stop being so damnably verbose. I thought I made progress for a while by having it tweak its soul, iterate, switch models, iterate, switch models, fuse the results, iterate... but ultimately it's all forgotten early in each session. And then one day it killed itself by rebuilding the container it was inside.

Hermes apparently has some plagiarism issues they're trying to cover up [0] and I was deeply unimpressed with their janky, flickery CLI that force-enables a bulky obnoxious header.

Nanoclaw and nanobot seemed fine, but not notably different. There were some common bugs and glitches that caused some minor data loss while configuring nanobot. After that I just deciding to start hacking my own together.

What I really want in a harness is being able to actually control and rewrite the entire context window, like Zed's Text Threads before they obnoxiously and inexplicably removed what, to me, was their most powerful and distinguishing feature.

[0] https://github.com/NousResearch/hermes-agent/issues/10232

I've opened a design discussion to argue this out before anyone writes a line of it, because a surprise PR to a security-sensitive module is the wrong way to start. Feedback from people who've thought about supply-chain trust is what I appreciate.

Source: https://github.com/NousResearch/hermes-agent

Hermes Agent is an open-source AI agent framework.

I opened my Hermes Agent logs and found something I did not know existed: an auxiliary: block with twelve background tasks. Compression, web extraction, vision, session search, skills matching — all running silently every time I typed a message. Every task was set to provider: auto. And because I had no API keys for the fallback chain, every one silently fell back to kimi-k2.6, my one-trillion-parameter main model.

The adjacent tools worth tracking: the OpenAI Chrome plugin, BrowserCode, Autobrowse, browser-harness, Pi browser extensions, and Hermes browser skills. [13] [14] [6] [15] [16] [12] The category is logged-in browser work: support queues, internal tools, research, scraping, QA, admin ops, and anything where the useful data sits behind a session.

hermes-telemetry solves both by giving you real-time observability and automatic budget enforcement for Hermes Agent.

If you haven't encountered it yet: Hermes Agent is an open-source agentic system from Nous Research. The key differentiators that caught my attention:

I don't use Fabric as much anymore. I still have it, but I generally just find using Claude Desktop is good enough.

I have an Obsidian with lots of notes (personal/technical) I found a curated list of prompts (Fabric patterns) that I can use within my vault Instead of digging whole list I just wanted to get a list based on my specific needs and workflow with the help of AI. (Used Claude Code)

I noticed that the recent fabric (v1.4.219, while I was writing this) displays an extra output when:

One of the best modern examples of this thinking in action is the Fabric project by Daniel Miessler. Fabric is an elegant framework for combining large language models, tooling, and context into precise, reusable workflows—all expressed through natural language.

You can also use the "fabric" CLI tool with its new "code_helper" functionality:

https://github.com/danielmiessler/fabric?tab=readme-ov-file#...

This is more rudimentary and works on the CLI, but I've had good results with it using both Gemini Pro and local models.

I think the person who wrote that probably meant these, specifically: https://github.com/danielmiessler/fabric/tree/main/patterns

Project Fabric on GitHub

You can find Fabric here, and they have some good links to Youtube coverage which shows some great examples of how this works. What I liked about this tool is that there philosophy is that

I humbly submit my project as a possible solution.

It's open-source on Github.

https://github.com/danielmiessler/fabric

The tagline is Human Augmentation Using AI, but really it's a crowd-sourced library of prompts.

Basically, I solve a problem once, to a satisfactory level, and then I upload it to Fabric so everyone else can do the same.

Over 22K stars just since January 2024.