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Readme

BusinessKit Agent

Your agents are useless without a knowledge layer. This is the knowledge layer — plus the agents that read from it.

17 agents (CEO, CRM, Social, SEO, Blog Writer, and more) that read and write directly to your Turso database. Two layers:

Brand Foundation (BF) — static, you write once: context/brand-voice.md, context/about-me.md, SOUL.md. Agents read before producing anything.

Knowledge Base Layer (KBL) — dynamic, agents maintain: agent_kb table grows every session. Drop anything into agent_notes inbox — links, ideas, tweets, articles. Run /ingest and the agent compiles structured wiki pages with cross-links. Every question you ask gets filed back as a new entry. Knowledge compounds.

Works with Claude Code, Claude Cowork, Gemini CLI, Codex, and any terminal.

Install — two ways

Option A — Claude Code plugin (recommended)

One command. Works across all projects. Auto-updates.

Open Claude Code terminal (Ctrl+`` ``):

/plugin marketplace add businesskitai/businesskit-agent
/plugin install businesskit@businesskitai
/reload-plugins

Enter your credentials when prompted — TURSO_URL and TURSO_TOKEN from BusinessKit → Settings → Credentials.

Commands are namespaced: /businesskit:ceo, /businesskit:crm, /businesskit:blog-writer etc.

Option B — Clone for full access

Source code, all agents, customise everything.

git clone https://github.com/businesskitai/businesskit-agent
cd businesskit-agent
npm install
cp .env.example .env
# Paste TURSO_URL and TURSO_TOKEN from BusinessKit → Settings → Credentials
npm run setup

Commands are direct: /ceo, /crm, /blog-writer etc.

Get credentials: BusinessKit → Settings → Credentials → copy Turso URL and Token.

Fill in your context (20 minutes, once)

These files make every agent 10x better. Without them, agents guess.

context/about-me.md      → who you are, your background, credibility
context/brand-voice.md   → voice bible with real writing examples
context/working-style.md → how you work, approval preferences, schedule
context/business.md      → goals, revenue model, 90-day targets

This is the most important step. Shann Holmberg (Espressio) calls this the Brand Foundation — the static layer agents read before producing anything so the output sounds like you, not generic AI.

How to use

Claude Code

Open this folder. Type any slash command:

/ceo          → weekly business briefing, priorities, pending approvals
/blog-writer  → write posts, listicles, how-tos, comparisons
/newsletter   → draft and send newsletters
/social       → post to Twitter, LinkedIn, Instagram, TikTok (13 platforms)
/crm          → manage contacts, deals, outreach pipeline
/seo          → audit, fix meta, track LLM visibility
/analytics    → revenue, traffic, product performance
/store        → launch products, courses, services
/ingest       → process agent_notes inbox into knowledge base
/kb           → query your knowledge base
/compress     → save session before context runs out
/resume       → reload context next session

Claude Cowork

Install the BusinessKit plugin. Same commands, runs in your browser.

Terminal

npx tsx cli.ts ceo
npx tsx cli.ts blog-writer
npx tsx cli.ts crm

The knowledge layer

Drop anything into your inbox:

"add to notes: https://twitter.com/karpathy/status/... — useful for SEO strategy"
"add to notes: idea — launch a free email course as lead magnet"
"add to notes: competitor just raised prices, opportunity"

Run /ingest weekly. The agent reads each note, builds or updates wiki pages, cross-references related entries, marks contradictions as stale.

Query anytime:

/kb  →  "what do I know about email deliverability?"
        "what content formats performed best?"
        "what's my current positioning vs competitors?"

Every answer gets filed back. The knowledge base gets richer every session.

Agents

Agent	What they do
CEO	Weekly briefing, revenue pulse, priorities, pending approvals
CMO	Marketing strategy, content calendar, growth planning
COO	Operations, publishing queue, task management
CBO	Revenue analysis, pricing strategy, product performance
Blog Writer	Posts, listicles, how-tos, comparisons, programmatic content
Newsletter Writer	Drafts, subscriber analytics, send management
Copywriter	Landing pages, product copy, profile bio
Course Creator	Course structure, lessons, pricing, access
Store Manager	Products, webinars, services, sponsorships, 1:1 calls
Jobs Manager	Job listings, applications
Forms Builder	Intake forms, waitlists, surveys
Docs Writer	Knowledge base articles, FAQs
CRM Agent	Contacts, deals, outreach pipeline with approval gates
Social Agent	13 platforms via Zernio, scheduling, inbox
Analytics Agent	Revenue, traffic, product, email stats
SEO Agent	Technical audit, meta, LLM visibility tracking
Scheduler	Cron tasks, publish queue, Hermes pattern detection

Cost

Every agent is built to minimise token cost:

Skills loaded on demand — only what the task needs
KB index scanned first (slug + summary), content loaded only when needed
Reports pushed to Turso mid-conversation — never lost if session ends
SYSTEM.md enforces: do first, report after. No narrating what's about to happen.

One founder moved from $130/5 days on a heavyweight agent setup to $10 on a lean knowledge-layer-first approach. That's the target.

Works with

Tool	How
Claude Code	Primary runtime — slash commands in `.claude/commands/`
Claude Cowork	Plugin at `.claude-plugin/plugin.json` — 18 commands
Gemini CLI	Reads `GEMINI.md` automatically
Codex	Reads `AGENTS.md` automatically
Cursor	Reads `.cursorrules` automatically
Any terminal	`npx tsx cli.ts <agent>`

Requirements

Node.js 18+
A BusinessKit account with Turso connected
Social platform tokens (optional — for /social)

MIT License