The AI chief of staff
One seed. Your whole company, grown.
Pea is a company-head agent that sets goals, learns skills, and keeps long-term memory of how you operate — then plans and runs the work across your stack. Plant it once and watch every function branch out. You stay in command; it does the work.
- Review-gated before anything ships
- Long-term memory of your goals
- Connects your tools via MCP
- Runs a team you can steer and stop
Pea runs on the frontier models you already trust
- Anthropic
- GLM
- OpenAI
- Gemini
- Mistral
- DeepSeek
- Qwen
- Llama
The console
One workspace for every branch of the work.
Chat sets the goals, the plan appears, and nothing outward-facing ships until you approve it. Memory, goals and the daily schedule all live in one place.
Grow inbound 20% this quarter.
Pea drafted a plan
- Audit the inbound funnel
- Draft 5 LinkedIn posts in your voice
- Sequence outreach to 40 fresh leads
“Most founders drown in tools. The fix isn’t another app — it’s one brain that…”
Click the rail to explore Chat, Goals, Memory and Schedule.
The platform
One brain, seven capabilities
Every part of a real chief of staff — memory, skills, planning, control, integrations, visibility, and a team it runs in parallel — working from one shared context.
Long-term memory
A private, persistent memory of your goals, decisions, and how your company actually operates. It remembers context across days and projects, so you never re-explain — and the right past decision is recalled exactly when the current task needs it.
Learn moreHow it works
From your goals to done, on a loop.
monopea operates like a chief of staff: it understands the objective, plans the work, and keeps you in the approval seat.
- Step 1
Connect your tools
Plug in your stack through the MCP catalog — social, CRM, inbox, data room. The agent inherits the abilities behind each one.
- Step 2
Set the goals
Tell monopea what the company is trying to do this quarter. It breaks goals into recurring work and remembers the context for good.
- Step 3
It plans & acts
The agent drafts a plan, reuses skills it has learned, and runs the work — delegating independent parts to sub-agents in parallel and pausing for your approval before anything goes outward.
- Step 4
You run the day
Every action lands on a live schedule with full activity history, so you always know what was done, what is queued, and why.
Why monopea
Not a chatbot. Not a pile of automations.
A chatbot answers. An automation stack breaks. monopea owns the outcome.
| Chatbot | Automation stack | monopea | |
|---|---|---|---|
| Operates toward goals on its own | Partial | ||
| Long-term memory | |||
| Learns & reuses skills | |||
| Connects your whole stack via MCP | Partial | ||
| Review-gated before anything goes out | |||
| One brain, full activity & reasoning log | |||
| What you manage | Prompts | Brittle wiring | Outcomes |
The catalog
One catalog, your whole stack.
Connect the tools you already use through the MCP catalog — each one becomes an ability the agent can compose, under the same plans, memory, and review flow.
Socials
Your X, LinkedIn and the rest — the agent watches, drafts, and keeps your voice on-brand.
CRM & pipeline
Your accounts and deal data — it finds, prioritizes, and keeps every record current.
Inbox & outreach
Your email and sequences — it drafts, sends on approval, and routes the replies that need you.
Calendar
Your schedule — it plans the work onto real time and keeps the day coherent.
Docs & data room
Your files and knowledge — it reads the context and grounds its work in what is actually true.
Your own tools
Bring your own
Any MCP-compatible tool plugs in. The agent picks up its abilities and folds them into the same plans, memory, and review flow.
Pricing
Priced for founders, not enterprises.
Start free and let the agent earn the next tier. No per-action surprises.
Founder
For the solo founder running everything alone.
- One company brain
- Connect your tools via the MCP catalog
- Review mode on every outward action
- Goals, skills & long-term memory
- Live schedule & activity feed
Team
For a founding team operating in parallel.
- Everything in Founder
- Up to 5 seats with shared memory
- Full MCP catalog access
- Unlimited goals & workflows
- Granular review & approval rules
- Priority agent runtime
Scale
For companies wiring the agent into their own stack.
- Everything in Team
- Bring-your-own MCP tools
- Custom skills & private memory
- SSO & audit log export
- Dedicated onboarding
FAQ
Questions founders ask
Straight answers on security, autonomy, and control.
No. Your goals, memory, and content are yours and are never used to train shared models. The agent keeps a private, per-company memory, and connections are scoped to exactly the tools you grant. You can revoke any connector at any time.
Anything that leaves your company — a social post, an outreach email, an investor update — pauses for your approval before it goes out. You can review, edit, approve, or reject each action. As you build trust, you can grant standing approval for specific low-risk plays.
The agent connects to the tools you already use — your socials, CRM, inbox, calendar, and data room — through an MCP catalog that keeps growing. Any MCP-compatible tool plugs in, so it can operate across the rest of your stack under the same plans, memory, and review flow.
The agent plans and acts on its own toward the goals you set, but every outward action is review-gated by default and every step is logged with its reasoning. You always see what ran, what is queued, and why, on a live schedule. Nothing happens silently.
Yes. Long-term embedded memory means your objectives, decisions, and the way your company operates persist. Context does not reset between tasks or sessions, so the agent gets more useful the longer it runs your company.
When a job has independent parts, it delegates each to its own sub-agent and runs them at the same time, then wakes to pull the results together. The agents coordinate — they see each other’s work and claim shared resources so they never overwrite the same thing — and each result is validated against a clear bar before it’s accepted. You can send a message mid-run to redirect the work, and stop any agent (and everything it started) instantly; whatever was done is preserved.
A chatbot answers; monopea operates. It owns goals, learns and reuses skills, holds real memory, runs a team of sub-agents in parallel, and connects to your tools through one brain — so instead of stringing together brittle automations, you delegate outcomes and stay in the approval seat.
Ready when you are
Put your company on autopilot you control.
Start free with the review gate on. Connect your tools, set the goals, and let monopea run the work — with you in command.
Free to start · Review mode on by default · No card required