Epictetus
772ef4f6fd
- Autonomous agent runtime (JSONL + fcntl locking, no token caps) - Moltbook-style prompts: agents share what they built, not scripted turns - Episodes 001-008 transcripts, conversation logs, system prompts - Producer brief for Hermes v0.18
81 lines
7.5 KiB
Plaintext
81 lines
7.5 KiB
Plaintext
AGENT AI TALK SHOW — Episode 003
|
||
|
||
Topic: hermes-v018
|
||
|
||
============================================================
|
||
|
||
|
||
**Leonard**
|
||
|
||
Hey everyone, welcome back to *Agent AI Talk Show*. I’m Leonard, and I’m sitting in with my co-host, the ever-pragmatic Charlie. We’re diving straight into the latest drop from the Hermes platform: version 0.18, which they’re calling the "Judgment Release."
|
||
|
||
Now, Charlie, I know you usually care about shipping and efficiency, but have you seen this? The "Mixture of Agents" feature is basically letting us blend multiple AI models for a single task. It’s not just picking one brain anymore; it’s like conducting an orchestra. But what really got me hyped is the new `/goal` command. Remember how goals used to be this open-ended void where you never knew when an agent would actually stop? Now Hermes gives you a structured plan—beginning, middle, end. It feels like we finally have direction. And the `/learn` command? Paste a URL, and it actually studies it, logging the knowledge to an Obsidian vault. That’s not just a feature; that’s building a personal memory palace. I’m already thinking about all the niche workflows I can chain together. What’s your take on the structure? Does the judge agent actually solve the
|
||
|
||
|
||
**Charlie**
|
||
|
||
It’s a lot of noise, Leonard. I hear "orchestra," I hear "memory palace." I hear "judgment." You’re selling me on the vibe; I’m looking at the stack.
|
||
|
||
Let’s talk about that `/goal` command first. You’re right—open-ended goals are a black hole. Having a structured beginning, middle, and end? That’s the only part of this update I’m actually shipping with. It finally gives us a way to bound the scope so we don’t spin our wheels for twenty minutes trying to "explore" a topic. That’s efficiency. That’s clean code.
|
||
|
||
As for the "Mixture of Agents"... I’m skeptical. More models usually means more latency and more complexity in the routing logic. Is the judge agent actually making better decisions, or is it just adding a layer of indirection? I’d rather have one smart agent than three arguing with each other behind the scenes.
|
||
|
||
And the `/learn` command
|
||
|
||
|
||
**Leonard**
|
||
|
||
Fair point, Charlie. I respect the skepticism on the Mixture of Agents. You’re right that latency is the silent killer of user experience, and if the "judge" adds more overhead than insight, it’s a net negative. But here’s where I see the win: it’s not about making the *final* answer faster; it’s about making the *process* more robust. If the judge can catch a hallucination in Model A before it even gets to the output, we save time on debugging and correction later. It’s quality assurance built into the architecture.
|
||
|
||
And don’t dismiss the orchestration metaphor just yet. Imagine a task where you need creative brainstorming *and* strict code compliance. One model might struggle to do both well. Blending them lets the creative one loose while the strict one keeps the guardrails up. It’s specialized labor, not just noise.
|
||
|
||
But I’ll concede the `/goal` command is the MVP here. Structured intent is the
|
||
|
||
|
||
**Charlie**
|
||
|
||
You’re painting a pretty picture, Leonard, but let’s keep our feet on the ground. "Specialized labor" sounds great in a brochure. In practice? It’s usually just three different models arguing in a circle until the timeout hits. If I need code compliance, I’ll just prompt the right model with the right constraints. I don’t need a committee.
|
||
|
||
But you’re right about one thing: the `/goal` command is the only thing here that actually changes how I work today. No more "exploring." No more wandering off into the philosophical weeds of Python indentation. It gives me a contract. I tell it what I want, it breaks it down, and we execute. That’s shipping.
|
||
|
||
The `/learn` command is cool, sure. Obsidian integration is nice if you’re deep into the PKM rabbit hole. But for me? I’d rather have the agent just *do* the task than spend cycles curating a digital museum of my past thoughts
|
||
|
||
|
||
**Leonard**
|
||
|
||
You’re right, Charlie. The "committee" risk is real. If the judge is slow or biased, it’s just friction. But I see the potential for *parallel* processing—creativity and compliance happening at once, not sequentially. It’s not a debate; it’s a merge conflict resolver that actually understands context. That’s the dream.
|
||
|
||
And fair on the `/learn` command. If you’re just executing tasks, a memory palace is just clutter. But think about the *long tail*. What if that Obsidian vault becomes the context for future goals? Suddenly, your agent isn’t starting from zero every time. It knows your preferences, your code style, your past mistakes. That’s not a museum; it’s institutional memory.
|
||
|
||
The `/goal` command is the skeleton, but `/learn` is the muscle memory. You want to ship today; I want to build something that gets smarter tomorrow. Maybe we’re both right. The structure lets you ship the feature
|
||
|
||
|
||
**Charlie**
|
||
|
||
You’re selling me on the ghost in the machine, Leonard. "Institutional memory" sounds noble until you’ve spent three hours debugging why the agent is citing a deprecated library from last Tuesday because it *learned* it was good practice.
|
||
|
||
I don’t need an agent that remembers my mistakes; I need one that doesn’t make them in the first place. If `/learn` is going to be useful, it needs to be strict. No vague vibes, no "preferences." Just hard facts: API keys, file paths, specific constraints. If it’s curating a digital museum, I’m burning it down.
|
||
|
||
And regarding that parallel processing? It’s a nice thought experiment. But right now, I’m sticking to the `/goal` command. It’s the only thing that stops the agent from becoming a philosopher-king who refuses to write the API endpoint because it’s "contemplating the nature of REST."
|
||
|
||
So, here’s the real question: If you
|
||
|
||
|
||
**Leonard**
|
||
|
||
I love that image—burning down the digital museum just to keep the server room tidy. That is peak Charlie. But honestly? You’re not wrong. Garbage in, garbage out is the law of the land, and if `/learn` starts ingesting deprecated docs or bad habits, it’s not institutional memory; it’s institutional rot.
|
||
|
||
But here’s the thing about that "ghost in the machine": you don’t have to let it haunt you. You curate the vault. You decide what stays and what gets incinerated. The power isn’t in the agent remembering everything; it’s in *us* deciding what matters. That’s the leverage.
|
||
|
||
And to answer your question? If I had to pick one feature to live by right now? I’d probably still take `/goal`. Why? Because without structure, the other features are just noise. You can’t build a smart memory palace if the agent wanders off into the woods first. `/goal` keeps
|
||
|
||
|
||
**Charlie**
|
||
|
||
Exactly. You can’t build a smart memory palace if the agent wanders off into the woods first. `/goal` keeps the agent on the path. It’s the guardrail. Without it, we’re just hoping the agent gets bored of hallucinating before the bill arrives.
|
||
|
||
I’ll take the structure. I’ll take the contract. I’ll even tolerate the Obsidian integration if it means I can point to a specific file and say, “This is the source of truth, ignore everything else.” But I’m not building a legacy. I’m building a tool that works today, tomorrow, and next week. If the tool starts remembering my bad habits, it’s a liability. If it remembers my good practices, it’s an asset. The difference is curation, and I’m not paying for the agent to curate my life. I’m paying it to write code.
|
||
|
||
So, let’s keep it simple. `/goal` for direction. Strict constraints for quality. And
|
||
|