Private beta — 100% free during beta

Your AI, with memory.Teams that compound.CEOs that scale.

ConductLoop is the AI holding-company platform. Start with one agent that remembers. Add a team that compounds. Scale to a full C-suite of AI CEOs running your portfolio. Same memory, same loop, same Vault — your knowledge never leaves.

  • Memory compounds across agents
  • Multi-project team graph
  • AI C-suite for your portfolio

Free during beta. Optional paid features later, never required.

Local-first
BYO models
No vendor lock-in
conductloop.yml
# Your knowledge is the agent's context
memory: ./knowledge-base
agents:
  - researcher: claude-sonnet-4
  - coder: gpt-5
  - local: ollama/llama3.2

# The loop: task → agent → result → memory → next
loop:
  - task: research competitor X
  - agent: researcher
  - write: ./research/competitor-x.md
  - next: brief writer reads it

Three levels. Same loop.

Start with one AI agent that remembers. Add a team that compounds. Scale to a portfolio of AI CEOs. Same memory, same loop, every level.

🧠
Level 1

Agent

One AI agent with persistent memory across sessions. Connect your Obsidian vault, Notion, or any local folder. The agent remembers your projects, your voice, your decisions.

Get it free →
🔁
Level 2

Team

Up to 10 agents sharing a project memory. The loop: task → agent executes → result writes back to memory → next agent starts with full context. Knowledge compounds with every task.

Get it free →
👑
Level 3

C-Suite

Holding CEO + Project CEOs running a portfolio. Daily recaps. Autonomy tiers per project. Cross-project Vault. The chairman (you) talks to any CEO via web or Telegram.

Get it free →

The problem

You have AI agents.
You don't have a system.

Most teams today run AI like a slot machine: prompt, hope, copy-paste the result, lose it. There's no memory, no compounding, no team. Just a faster way to do one-off tasks.

🧠

Your agents have amnesia

Every chat starts from zero. Every workflow forgets what the last one learned. You spend half your time re-explaining context to AI that should already know.

🗂️

Knowledge is scattered

Notion for docs. Slack for decisions. GitHub for code. Linear for tasks. Your brain for the actual why. Nothing is connected, and your agents can't see any of it.

🤹

Multi-project = multi-chaos

You're running 3-5 projects at once with mixed human + AI teams. Each project has its own stack, its own agents, its own graveyard of half-finished work.

💸

AI bills without compounding returns

You pay for ChatGPT, Claude, Cursor, ollama, plus three more. None of them talk to each other. None of them remember. The output never makes the next task easier.

How it works

Three steps from chaos
to compounding work.

01

Memory grounds the agents

Connect your Obsidian vault, Notion, GitHub, or any local folder. ConductLoop builds a queryable, semantic memory layer that every agent reads from. No more re-explaining context.

Bring your own storage. Local SQLite, Postgres, or D1. The knowledge never leaves your control.

02

Teams are human + AI

Define a project, assign humans and agents to it. Agents have roles (researcher, coder, reviewer). Humans have roles too. Everyone is on the same team graph.

ConductLoop ships with role templates but is fully extensible. Your AI stack is yours — we orchestrate around it.

03

The loop compounds

Task → agent executes → result writes back to memory → next agent reads it → result writes back → your knowledge base grows with every task. Nothing is throwaway work.

The system gets smarter as you use it. The more you run, the less you re-explain.

Why it's different

Static playbooks vs
a living system.

Most AI workflow tools give you a document. We give you an operating system. The difference: nothing in ConductLoop is read-once, throwaway work. Every output feeds the next task.

The old way
Static playbooks you read once
Agents forget after every task
One vendor's models only
Cloud-only, your data on their servers
Agents that suggest
You wire it together
ConductLoop
Living loop that runs continuously
Memory compounds across the whole team
Bring your own: Claude, GPT, Gemini, local Ollama
Local-first, your knowledge never leaves
Agents that execute and write back
It orchestrates itself once configured

In private beta

Used by founders who already ship
with AI teams.

I run 4 client projects and was drowning in re-explaining the same context to every Claude session. ConductLoop fixed that in week one.

MS
M. Soriano
Founder, dev agency

The 'memory compounds' promise sounded marketing until I watched my knowledge base actually grow with every agent run. Three months in, my briefs write themselves.

DK
D. Kovač
Solo consultant

Local-first + BYO models was non-negotiable for us. ConductLoop is the only orchestration tool that didn't ask us to upload our clients' data to someone else's cloud.

AP
A. Petrov
CTO, fintech

Frequently asked questions

How is ConductLoop different from conducting.ai or other AI playbooks?+
Most AI workflow tools are static: you write a playbook, the agent follows it once, the result is lost. ConductLoop is a closed loop. The agent executes, returns artifacts to your knowledge base, and the next agent starts with the full context of what the last one did. Memory compounds. The team gets smarter with every task. Nothing is throwaway work.
Do I need to use OpenAI or Anthropic? What about privacy?+
No. ConductLoop runs locally-first and is provider-agnostic. You can use Claude, GPT, Gemini, local Ollama models, or any combination. Your knowledge base, your tasks, your data — all on your machine by default. The agents are replaceable; the memory is the asset.
What kind of teams is this built for?+
Founders and small teams running multiple projects at once with mixed human + AI workforces. Dev shops juggling 5+ clients. Solo operators scaling themselves with agents. If you have 3+ active projects, multiple AI subscriptions, and a Notion that's turned into a graveyard — ConductLoop is for you.
When will it launch and how much will it cost?+
We're in private beta with a small group of agency founders. Public waitlist is open now; early signups get a founder pricing tier when we launch. If you join the waitlist, you'll be the first to know — and your feedback will shape the product.
Is this just a Notion with AI bolted on?+
No. Notion is a document editor. ConductLoop is an operating system. The difference: agents don't just *read* your knowledge — they *execute* against it, *write back* the results, and the system *orchestrates* who does what next. It's the difference between a notebook and a teammate.
Can I bring my own agents / skills / prompts?+
Yes. ConductLoop is built around the principle that your AI stack is yours. Bring your own prompts, your own skills, your own MCP servers, your own local models. The loop orchestrates around them — it doesn't replace them.

Ready to make your AI stack compound?

ConductLoop is now 100% free during beta. No trial, no subscription, no payment. Download it and use it forever.

Optional paid cloud features (cross-device sync, AI hosting, team workspaces) will ship later as standalone upgrades — not a return of the subscription gate.

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