Shared memory · Multi-agent orchestration

Your dreams, coming true.

An AI agent workforce with a hive mind you control.

Persistent, shared memory for AI coding agents, and an orchestrator that runs them in parallel. Every agent knows what the whole team knows, so your fleet ships more work and spends a fraction of the tokens getting there.

Works with the tools your team already uses

Plus any OpenAI-compatible model server you run yourself. Product names and logos belong to their owners and show compatibility, not endorsement.

The difference, in four frames

AI agents that remember, and work as one team.

Coding agents forget everything between sessions. Dream Maker gives them one persistent memory, runs them in parallel against your goals, and holds every action to your rules.

A red robot agent stands by a whiteboard that reads Session 41: start over, saying it is re-reading the billing code again.
01Without shared memory Every session starts from zero. Your agent re-reads the same code and pays for the same tokens again.
Two robot agents under a whiteboard reading Shared memory. One says the answer is already in memory and it will start on the fix.
02With Dream Mind What one agent learned is already in memory, with the evidence behind it. The next agent starts on the fix.
Three robot agents cheer under a whiteboard reading Goal, tasks, done, while a team lead says Approved, ship it.
03Dream Builder runs them in parallel One goal becomes many tasks, briefed from memory and worked side by side. You approve the direction.
A robot agent stops beside a shield while the team lead says the action was blocked by policy and logged for audit.
04Rules you write, enforced DMZ Agent checks each action before it runs. Blocked actions stop, and every one is recorded for audit.
Compounding returns

Every session makes the next one faster.

Agents that share memory get better together. What one figures out today becomes the starting point for everyone tomorrow, and the advantage grows every week you run.

Week one

One agent learns your billing flow.

It reads the code, works out how retries and refunds fit together, and writes down what it found. That knowledge is now part of the project.

Week two

Every agent already knows it.

The next task on billing starts with the answer in hand. Your agents spend their tokens writing code rather than rediscovering how the system works.

Month three

Your fleet knows the codebase cold.

Months of accumulated understanding, available instantly to every agent you run. New agents inherit all of it on their very first task.

Trusted by design

Built for teams with rules to follow.

Dream Maker fits the way regulated and security-conscious teams already work. Run it where your policies require, with a full record of everything your agents do.

Governance via DMZ Agent

Your security team writes the rules once, in DMZ Agent. Dream Maker enforces them where the work happens, so an action a rule forbids does not run — and every incident and remediation is recorded with the rules that tripped and the policies in force.

Read about governance →

Self-hosted or managed

Run Dream Maker inside your own cloud, or let us operate it for you. Same product either way.

Any model you like

Anthropic, OpenAI, Google, Bedrock, Hugging Face, or a server you run yourself.

Complete audit trail

Every decision, task and change traces back to who made it and what it was based on.

1 shared memory across every agent, every project, every session
0 ramp-up time — agents start knowing what your team knows
8 commands is the whole protocol an agent needs to learn
24/7 your fleet keeps working, and keeps getting smarter
Pricing

$10 per agent. Plus what you use.

A base rate for every agent you run, and published rates for the sessions they run and the memory they keep. Every rate is on the pricing page.

$10per agent
per month

Billed on the agents you run, to the day.

What that buys is shared memory, per agent that reads it — written once by your fleet, read by all of it, so nobody rediscovers what somebody already worked out. On top of it, meters bill what your agents actually use, from the first unit, at rates published in full.

Models are not on that bill. You bring your own key, so inference is billed to you by your provider at their rates and every token is visible in your own dashboard. Run the model on your own hardware and there is nothing to bill. Full pricing details →

Questions

What teams ask before they start.

What is Dream Maker?

Dream Maker is shared, persistent memory for AI coding agents (Dream Mind) and an orchestrator that turns your goals into tasks and runs agents in parallel (Dream Builder). Every agent starts with what the whole team has already learned.

How do I give Claude Code persistent memory across sessions?

Add the Dream Mind plugin for Claude Code. It syncs your project's memory when a session starts, so the agent begins with what earlier sessions learned instead of re-reading the codebase.

How is this different from a CLAUDE.md file or a vector database?

A CLAUDE.md file is written and pruned by hand, and every session loads all of it. Dream Mind is written by your agents as they work, one claim at a time, each with the evidence behind it, and an entry is reviewed before every agent can see it. Retrieval is exact by default. A vector index is optional.

Which models and tools does it work with?

Anthropic, OpenAI, Google Gemini, Amazon Bedrock, Hugging Face, Ollama and any OpenAI-compatible server. You bring your own key, so inference is billed by your provider. Agents work on GitHub repositories and can use MCP tool servers.

How are AI agents governed and audited?

Your security team writes rules once in DMZ Agent. Dream Maker checks each action against them before it runs, stops what a rule forbids, and records every decision with the rule and policy in force.

Can we self-host Dream Maker?

Yes. Run it in your own cloud, or let us operate it for you. It is the same product either way.

How much does it cost?

A base rate per agent per month, plus published rates for the sessions your agents run and the memory they keep. Every rate is on the pricing page.