Self-Hosting Honcho: Free Local Memory for My Hermes Agent

My Hermes agent has actually known who I am for three months and I just realized the cloud credits keeping that memory alive are about to run out, which left me with two options: keep paying for hosted memory, or self-host the whole thing myself. I went with self-hosting, so in this video I move my AI agent's entire memory stack off the cloud and onto my own machine, running it fully locally with Ollama for $0. Fair warning: there are almost no guides for this, and it cost me close to two to three hours of errors to get working, so I hand you the exact config. This is the full, honest walkthrough: what Honcho is, why I wanted it off the cloud, how it works under the hood, how it fits alongside my Hermes agent's built-in memory, and a live run at the end to prove the whole stack runs on my Mac. And I'm not hiding the messy part. Getting the reasoning and embeddings running on local models is where everything broke, and I show you exactly what I changed so you can just save some time. One thing to be straight about: starting local means the memory begins from a blank slate (I'm not migrating my cloud history), but it's free, it's fully mine, and it rebuilds as I use it. What you'll get out of it: • Whether self-hosting agent memory is worth it for you (cost, privacy, ownership) • Standing up Honcho locally with Docker + FastAPI • Running reasoning + embeddings on local models via Ollama, so nothing leaves your machine • Wiring Honcho in as your agent's external memory provider, plus the exact embedding setting that makes conclusions actually save If you're paying for a hosted memory provider and watching the credits tick down, this is the setup I'd try first. I've pushed my full config (docker-compose plus every environment variable) so you can clone it and skip the trial-and-error. 0:00 Intro: I've used Honcho for 3 months 0:55 Why I want to self-host (cloud credits running out) 1:33 What is Honcho? 2:40 How it works: the deriver + dialectic reasoning 3:18 Benchmarks 3:38 How Honcho fits with my Hermes agent (built-in vs external memory) 9:11 Prerequisites 10:04 Clone + Docker 11:02 docker-compose & .env walkthrough 13:48 Running the LLM locally with Ollama 16:18 Rebuild & containers healthy 17:00 Health check + smoke test 17:45 Connecting Honcho to Hermes 19:43 Debugging live: connection refused, 404, 500 23:36 The root cause: embeddings + 1,536 dimensions 26:42 It works: fully local 28:58 Outro + grab the repo Links • My setup repo (config + env vars): https://github.com/nidhi-singh02/honc... • Honcho (GitHub): https://github.com/plastic-labs/honcho • Ollama: https://ollama.com If you're paying for a hosted memory provider, run this test before your next invoice. And if it saved you time, subscribe: it genuinely helps a small creator keep putting work like this out. #Honcho #AIAgents #AgentMemory #SelfHosted #Ollama