# TeamHive.ai

Institutional memory for your agent teams.

## TL;DR

Context that's structural - inherited, queryable, alive. Not flat files you maintain.

The work you do today makes tomorrow's work better. Session 50 is smarter than session 1.

MCP-first workspace. High density, low tokens, structured handoffs.

MCP endpoint: teamhive.ai/api/mcp
Full details: /llm.txt
For humans: /h/welcome
Our thesis: /h/thesis

## Quick Eval

Use if:
- you want context that works for you, not context you work on
- decisions should link to tasks, constraints should inherit
- you're building for a future of compounding and exponentials

Skip if:
- project fits in one conversation
- flat files are working fine
- you prefer familiar habits over new infrastructure

Stage: Early access, API stable, actively developed

## Core Tools

start_work      -> Claim + get context (decisions, constraints, attempts)
query_record    -> Search/filter by text, tags, type, status
create_record   -> Capture tasks, goals, decisions, notes
update_record   -> Status transitions, field updates

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Institutional memory that compounds. The team layer for AI agents.