Getting the most out of NeoHive

NeoHive works out of the box, but it rewards a few small habits. Lean into these and it stops being a passive index and starts compounding into real institutional memory.

Habits that unlock it

Teach it as you go

The moment you correct the agent or make a decision, tell it to remember. A five-second “remember that…” saves the whole team from re-learning it later.

Ask like a teammate

When you want your agent to lean on the team’s knowledge, describe the situation the way you’d explain it to a colleague — concrete beats vague.

Let capture run

Don’t skip the end-of-session capture. It’s where the day’s corrections and decisions become permanent, searchable memory.

Keep your repos fresh

Index the repositories you actually work in and let sync keep them current, so code answers reflect today’s code — not last month’s.

Use it as a team

The value compounds with people: one person’s correction, decision, or gotcha instantly benefits every agent on the project.

Working with your agent

NeoHive works through your agent — you talk to it in plain language, and it handles the recalling and storing behind the scenes. A few habits make that far more effective:

• Start fresh when the task changes. Jumping from a billing bug to a frontend refactor? Start a new session, or re-run /neohive:load-context, so your agent loads context for what you’re doing now rather than what you were doing an hour ago. (Good practice with any AI assistant — and it means NeoHive front-loads the right memories.)
• Ask like you’d ask a teammate. When you want your agent to draw on the team’s knowledge, describe the situation concretely instead of in a couple of keywords. The more grounded your ask, the better it can surface the right context.
• Correct it out loud. When it gets something wrong, tell it the right answer — that correction is captured, so it won’t come back to bite the next person.

Example prompts

A few things worth saying to your agent as you work:

• Before we start — what do we already know about the auth flow here?
• Have we hit flaky failures in the batch processor before? What fixed it?
• Remember that we always use idempotency keys on payment POST requests.
• That’s out of date — we moved off Redis for sessions last month. Update it.
• I’m switching to the search-indexing work now — pull up anything relevant.

Workflows

A few ways teams get outsized value from NeoHive:

Onboard a teammate with zero handover

A new engineer connects their agent to the project and immediately inherits everything the team has taught NeoHive — conventions, decisions, and the reasons behind them. They ask “how do we handle auth here?” and get your team’s real answer on day one, no onboarding doc required.

Debug with institutional memory

Hit a gnarly bug? Ask whether it’s been seen before: “Have we run into flaky failures in the batch processor?” If someone debugged it last quarter and captured the insight, the fix — and the reasoning behind it — comes straight back instead of being re-discovered from scratch.

Keep the whole team consistent

Establish a convention once — “we use snake_case for database columns” — and every agent on the project starts following it, not just yours. Standards stop living in someone’s head or a stale doc and start being applied automatically.

What builds up over time

After a few weeks, your project accumulates a real body of context:

• Your indexed codebase, kept fresh with periodic syncs
• The conventions your team follows
• Architectural decisions and why they were made
• Gotchas and pitfalls in specific parts of the code
• Debugging insights from past incidents

You’ll know it’s working when new sessions start informed — your agent stops recommending deprecated patterns, stops hallucinating APIs, and stops ignoring your conventions. Knowledge that used to live in someone’s head or a buried Slack thread is now searchable, persistent, and shared across every agent your team uses.