How honeycomb works

honeycomb's whole job comes down to one loop, repeated every time you work: capture, distill, recall, and compound. Here's what each step actually does.

#What is the daemon, and why does everything go through it?

When you install honeycomb, it starts a small, always-on helper on your machine, the daemon, listening on 127.0.0.1:3850. It's the only part of honeycomb that talks to your memory store. Your coding assistants never connect to storage directly; they talk to this local helper, and the helper does the real work.

That single chokepoint is what keeps things consistent: one place handles storage, encryption, and which team or project a memory belongs to, instead of every assistant reinventing that logic.

#How does honeycomb capture what happens?

As you and your assistant work, honeycomb quietly records the important moments: what you asked, what the assistant did, and what came back. This is cheap, instant, and stays out of your way. If anything ever goes wrong while recording, your assistant keeps working normally. Nothing you do gets held up waiting on capture.

#What does distill mean, and why three tiers?

Raw session transcripts are long and messy, not something you want to read back later. honeycomb distills each one into a clean note kept at three levels of detail:

• Key: a one-line headline.
• Summary: a short recap.
• Raw: the full original, in case you ever need to dig in.

This is the three-tier memory. You skim the headlines, open a summary if one looks relevant, and only read the full detail when you actually need it. It mirrors how a person remembers something: the gist first, the specifics on demand.

#How does recall find the right memory?

Two ways, at the same time. honeycomb matches the words you used, the way a normal search would. It can also match the meaning behind your question, so it surfaces a relevant note even if you phrased it completely differently than the original. That second kind is semantic search, and it's what catches the "I didn't know the exact term to search for" cases that word-matching alone would miss.

Semantic search needs a small local model to warm up the first time it's used. Until it has, recall still works fine on word matching alone.

#What is priming?

Priming is the short "here's what I already know about this project" briefing honeycomb hands your assistant automatically at the start of a new session. Instead of starting blank, your assistant opens already aware of your recent decisions and durable conventions. It's deliberately small, just the headlines, so it never clutters the conversation. Your assistant can always ask for more detail mid-session when it needs it.

#What does compound mean, honeycomb getting sharper over time?

Most systems that pile up notes get messier as they grow. honeycomb is built to do the opposite. Every so often it runs a tidy-up pass: merging duplicate notes, dropping the junk, and replacing stale facts with their current version, while keeping the full history so nothing is truly lost. This self-tidying is opt-in, since it uses an AI model and you decide when to spend on that. The more you use honeycomb, the sharper its memory gets, not the noisier.

#What are skills, and how do they spread?

When you or a teammate solve something genuinely reusable, honeycomb can turn it into a skill, a short, reusable lesson. Skills show up automatically in your assistants at the start of a session, no copy-pasting files around. On a team, a skill one person writes reaches everyone else's assistants on their next session. honeycomb is picky about what becomes a skill; it would rather miss a so-so one than create a noisy one.

#Where does honeycomb keep all this?

In a store you control, built on Deeplake, separated cleanly so different teams and projects never see each other's notes. The daemon is the only thing that connects to it, and on a single machine it only listens to your own computer. Secrets like API keys are handled entirely separately from memory and are never shown to an assistant.

#In one sentence

honeycomb watches your work, writes clean notes at three levels of detail, hands the right ones back to any connected assistant on any device, and keeps tidying itself so your project's memory only gets better.

#Common questions

What is the daemon? A small, always-on helper honeycomb runs on your machine at 127.0.0.1:3850. It is the only part that talks to your memory store; your coding assistants just talk to it.

What are the three tiers of memory? A one-line key (the headline), a short summary, and the full raw session. You skim the key, open the summary if it looks relevant, and only read the raw detail when you truly need it.

How does recall find the right memory? Two ways at once: by matching the words you used, and, once semantic search has warmed up, by matching what you meant even if the words differ.

What is priming? The short briefing honeycomb hands your assistant at the start of a session, so it starts informed about your project instead of blank.