Inside honeycomb
honeycomb runs one quiet loop underneath the assistants you already use: capture what happens, distill it into clean notes on Deeplake, recall the right ones next time, and compound by tidying itself as it grows.
The loop, step by step
- 01
Capture
A small local daemon records the important moments of each agent turn: your prompt, the tool's actions, and the result. Capture is cheap and instant, and if it ever fails your assistant keeps working. Nothing is lost.
- 02
Distill
The daemon turns the raw transcript into a three-tier memory: a one-line key, a short summary, and the full original, so an agent can skim then zoom.
- 03
Recall
At the start of a session the assistant gets a short priming briefing. During work it can ask for more, and honeycomb matches both your words and the meaning behind them on Deeplake.
- 04
Compound
An optional self-tidying pass merges duplicates, drops junk, and keeps the current version of a fact, with full history, so memory gets sharper over time.
Skills that spread across your team.
When you or a teammate solve something reusable, honeycomb can turn it into a skill: a short, reusable lesson that shows up automatically in everyone's assistants at the start of their next session. Skills carry who wrote them, so credit and history stay clear, and promoting something from private to shared is always a deliberate, recorded action.
See securityUnder the hood
- daemon
- 127.0.0.1:3850
- memory tiers
- key, summary, raw
- recall
- word match plus meaning, hybrid on Deeplake
- interfaces
- CLI, MCP server, TypeScript SDK, harness hooks
- storage
- Activeloop Deeplake
Common questions
What is the three-tier memory?
Every memory is kept at three levels: a one-line key, a short summary, and the full original. An agent skims the key, opens the summary if relevant, and reads the raw detail only when it must.
What is priming?
At the start of a session honeycomb hands your assistant a short briefing of what is already known, so it starts informed instead of blank. It is small on purpose.
What is the self-tidying loop?
An optional pass that merges duplicates, drops junk, and keeps the current version of a fact while preserving history. It is why recall gets sharper as memory grows, and it is off by default because it uses a model.
See the loop for yourself.
Install honeycomb and watch a note written today get recalled tomorrow, in a different tool.
Windows (PowerShell): irm https://get.theapiary.sh/install.ps1 | iex
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