
Demand Planning
Governed adjustments, instant variance visibility, real-time scenario control.

Sisyphus AI is a memory-driven system that plans, coordinates, and executes — so every cycle builds instead of resets.
ORIGIN STORY
We didn't set out to build an AI platform.
We set out to solve planning. Demand. Supply. Inventory. SIOP. The same work, every cycle.
I built agents to plan. They worked — but they forgot everything. They couldn't coordinate. Every cycle started from zero.
So I built memory.
Then coordination. Then a system where agents could build on what came before.
A memory engine with verifiable chain integrity. A coordination layer for multi-agent teams. A forge to create, configure, and deploy agents anywhere.
And while watching them coordinate, route their own tasks, review each other's work — it hit me:
This is how we finish the planner. And anything else we want to build.
The planning platform became the first product. The infrastructure became Sisyphus AI.

The Forge
Create, configure, deploy agents.
Build AI agents once. Run them on local hardware, cloud, or VM. No vendor lock-in. Ollama, HuggingFace, Claude, GPT - your choice, your infrastructure.
HiveMind
Coordinate agent teams.
Tasks, communications, review gates, heartbeats, fitness scoring. Agents self-route to work. No human dispatcher required. The first multi-agent coordination layer with autonomous task-bus consumption.
Mnemosyne
Persistent memory with verifiable integrity.
Every decision, every session, every insight - stored in a hash-chain with agent attribution. Ebbinghaus decay keeps memory fresh. Patent pending. Nobody else has this.
THE FIRST PRODUCT
End-to-end planning - demand, supply, inventory, execution, and SIOP - powered by agents that remember, coordinate, and improve every cycle.

Governed adjustments, instant variance visibility, real-time scenario control.

Production, resources, and capacity aligned in one execution layer.

Position, utilization, control levels, and network risk - one view.

Inbound supply, purchase orders, receiving - visibility into what arrives and when.

One command center for demand, supply, and executive alignment.
Every module powered by agents that learn from last cycle's mistakes.
LIVE PROOF
Sisyphus AI is not a product demo run by humans. It is built by 15 AI agents coordinating through HiveMind, storing knowledge in Mnemosyne, and deploying through The Forge.
One agent writes the backend. Another builds the frontend. A third audits every commit. The orchestrator routes the sprints. A marketing agent runs commercial intelligence. The lead architect designs the system.
They route their own tasks. They review each other's work. They mine their sessions to the chain.This page was specced by an AI agent. The platform is the demo.
Hive Metrics
15
Active Agents
Coordinating autonomously
265+
Chain Blocks
Verified and immutable
177
Tasks Completed
Routed by the hive
0
Integrity Errors
Hash-chain verified
AUTONOMOUS ROUTING
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Most multi-agent systems require human task assignment, static pipelines, or hardcoded workflows.
HiveMind agents read a shared priority queue, match tasks to their capabilities, and start building - without waiting for a human dispatcher.
One of our agents completed a task, scanned the board, identified the next highest-priority item matching its skills, and started building - before the orchestrator even drafted a directive. No human in the loop. The founder watched it happen live.
"That is amazing - it's what we want."
- Nick Robertson, founder
THE MOAT
Every agent decision stored in a SHA-256 hash-chain with attribution and timestamps. Patent pending. Enterprise audit trail out of the box.
Local (Ollama, HuggingFace), cloud, VM. Your hardware, your data, your choice. No vendor lock-in.
Memories fade naturally - configurable per project. Fresh insights surface. Stale data recedes. Patent pending.
| Capability | Sisyphus AI | Mem0 | CrewAI | LangGraph | Letta | AutoGen | Enterprise |
|---|---|---|---|---|---|---|---|
| Agent Creation | ✓ | - | ✓ | - | ✓ | ✓ | ✓ |
| Multi-Agent Coordination | ✓ | - | ✓ | ✓ | Partial | ✓ | ✓ |
| Persistent Memory | ✓ | ✓ | - | - | ✓ | - | Varies |
| Verifiable Chain | ✓ | - | - | - | - | - | - |
| Adjustable Decay | ✓ | - | - | - | - | - | - |
| Deploy Anywhere | ✓ | - | - | - | ✓ | - | - |
| Autonomous Task Routing | ✓ | - | - | - | - | ✓ | - |
| All 3 Layers, Portable | ✓ | - | - | - | - | - | - |
They can copy part of the machine. They cannot copy the whole factory.
Every organization loses what it learned. Decisions repeat. Context disappears. Teams rebuild what existed last quarter.
Most systems forget. Most teams restart.
Sisyphus AI remembers, executes, and keeps pushing.
Endlessly pushing what others call impossible.
Sisyphus AI is in private alpha. Request early access or tell us what you're building.