HiveBase
HiveBase
CONTEXT SYSTEM

It knows Acme-the-customer from Acme-the-competitor.

Connect your tools and your context system maintains itself — then hands the same trusted answer to every human and every AI app you touch. Claude Code, Cursor, or Codex: same question, same answer.

Install the MCP connector →
"Acme"?
Account
Acme Corp
renewal_risk: HIGH
csm_contact: 14d ago
src: #cs-escalations
Competitor
Acme Inc
last_launch: "SSO" Jun 1
threat_level: MEDIUM
src: competitive-intel

Same name. Different type. Different structure.

TYPED ENTITIES

Flat memory blends them. Typed truth keeps them apart.

Memory tools store everything as undifferentiated text — so two things named "Acme" collide. HiveBase models the things a startup fights over as first-class typed objects: Competitor, Account, Feature, Decision — each with its own structure. Flip the toggle and watch the blob resolve.

UNDIFFERENTIATED BLOB⚠ entity collision
AcmerenewalAcmeSSO launchship datechurn riskcompetitorfeature gap

Both "Acme"s land in the same bucket. Ask about Acme and you get a muddled answer that mixes your customer with your competitor.

Spacecraft platform
THE CONTEXT SYSTEM

It knows Acme-the-customer from Acme-the-competitor.

Competitors, features, and accounts are first-class objects it models and keeps current — not flat docs. Connect your tools; it fills and corrects itself.

Engineering/APIs/API Documentation
API Docs
Eng Handbook
Dev Setup

AI-Enriched Prompts

How Brain Powers Agents

When HiveBase dispatches an agent to execute a task, Brain automatically loads company-specific context — your stack, your tone, your processes — so agents can

SYNTHESIS IN ACTION

An entity assembles itself from your tools.

Watch "Acme — renewal status" fill in as Slack, Zoom, and Gmail resolve into typed fields — no copy-paste, no manual curation.

slack logo
zoom logo
gmail logo
Q3 Review
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Context Synthesis

Automatically scans connected apps to keep tasks updated with the latest context.

EVERYTHING IS CONNECTED

Decisions link to the things they touch.

A decision isn't a buried doc — it's a typed object wired to the feature, account, and competitor it affects. Change one, and everything downstream knows.

HOW IT WORKS
01

It fills and maintains itself

Connect Slack, Gmail, Linear, GitHub, Notion, and meeting recordings. The context system reads what happens, extracts durable facts, and maintains them in the background. You confirm or correct, once — not continuously.

02

The same answer everywhere

One hosted MCP endpoint — install once and every AI app you use (Claude Code, Cursor, Codex, ChatGPT) reads from the same source. Parity-enforced: identical input returns identical claims and the same trust envelope.

03

Accurate by architecture

Contradictions force human review. Staleness is surfaced explicitly ('last confirmed 51 days ago — verify before citing'). The system is skeptical by default. 50 messy pages in, 5–15 sharp docs out — never a 1:1 dump.

04

Cost scales with change, not chatter

Reads are always free. You pay only when the context system processes new signals or writes something durable. Cost tracks how much your company actually changes — not how much it talks.

Memory tools recall. They don't act.

HiveBase gives your whole company one typed, shared truth — and then the AI workforce on top of it acts on it. Context without orchestration is just a better wiki.

Give your whole company one shared truth.

Connect your first tool and see context appear. Reads are always free.

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