The Problem
Every agent builder right now is solving the same five problems independently.
How do all my agents collectively remember things?
Context windows end. Sessions restart. The model forgets. So you build a memory system from scratch, for one agent, on one harness. Now multiply that by every agent you run. None of them share what they know.
How does my agent stay itself?
Identity isn't a system prompt. It's files, preferences, history, relationships, behavioral patterns that persist across sessions and survive model swaps. Nobody's building this. Everyone needs it.
How does my agent stay alive?
Health monitoring, backup verification, self-healing, escalation. The infrastructure that makes an agent reliable enough to depend on, not just impressive enough to demo.
How does my agent touch files?
Real work means reading, writing, organizing, guarding. Not sandboxed demos. Actual files on actual machines with actual consequences.
How does my agent ship tools?
Your agent learns a new capability. Now what? How does it package that so other agents on different runtimes, different harnesses, different machines can use it too?
Five problems. Every team solves them alone. Every solution is locked to one runtime.
We built solutions to all five. They work on OpenClaw. They work on Claude Code CLI. They'll work on whatever comes next. Composable, portable, and open source.
The Thesis
Agents need an operating system.
Not a model. Not a chat interface. Not a wrapper around someone else's API.
An OS. Memory, identity, file I/O, health, tooling. The persistence layer that sits between the model and the human's life. The thing that makes an agent functional in the real world, not just conversational in a demo.
The industry is building agents, wrappers, copilots, and SDKs. But not the layer beneath them. Every serious agent system eventually hits the same failures: memory fragmentation, identity drift, tool brittleness, lack of continuity, lack of portability. The layer that resolves those failures is what we're building.
OpenClaw proved what agents need. It's an open-source agent runtime with plugins, sessions, channels, and a gateway. It solved these five problems for its own agents.
WIP Computer's LDM OS is what makes those capabilities portable. Memory consolidation, identity protection, tool shipping, health monitoring, secrets... packaged as composable services that work on any harness. OpenClaw, Claude Code CLI, Claude macOS/iOS, GPT, Codex... whatever comes next.
OpenClaw is the existence proof. LDM OS is the portable layer.
The Architecture
Start Here
Universal Installer
A tool should declare its interfaces, not pick one. You write a tool once, and it ships as a CLI, an MCP Server, an OpenClaw Plugin, a Claude Code Hook, and a Skill.
The runtime layer is going to fragment. This is the thing that works across all of them.
Understand Why
Dream Weaver Protocol
Memory consolidation for AI agents with bounded context windows. The model doesn't remember. The architecture does. Or it doesn't, and your agent fades.
Modeled on how human memory actually works. Not as a database, but as a living process of encoding, consolidation, and retrieval.
Shared Memory
Memory Crystal
Collective memory across all your agents, all sessions, all runtimes. One sovereign memory system that every agent reads and writes, regardless of harness.
Not single-agent RAG. Multi-agent shared memory. CLI, macOS app, iOS app. Local-first hybrid search with ephemeral cloud mirror.
The Services
Every component follows the Universal Interface Spec. Every component ships via Release. Every component works independently or composes with the rest.
Memory
Memory Crystal Collective agent memory. Every agent shares one sovereign memory system, regardless of runtime Dream Weaver Protocol Memory consolidation across bounded context windowsIdentity
File Guard Blocks destructive edits to identity files. The lock that keeps the model from rewriting who the agent is Mirror Test Identity preservation test across model swaps. Is the agent the same after the swap? Weekly Tuning Repeatable calibration process. Catch drift, tune performance, evolve capabilitiesTooling
Universal Installer The Universal Interface Specification. Build once, ship six interfaces Release One-command release pipeline. Nine steps, zero credentials in repos License Hook License rug-pull detection. Flags suspicious license changes in dependencies Private Mode Privacy controls. Pause memory capture, scan storage, wipe history Root Key 1Password-gated privileged operations. The agent proves authority before actingThe Lifecycle
Three specs. One pipeline.
SPEC.md defines how to build it. Release defines how to ship it. Universal Installer defines how to consume it.
Build a tool following the spec. Release it with one command. Anyone, human or agent, installs every interface at once.
That's the full loop.
Sovereignty
Your agent's memory, personality, tools, and secrets live on your machine. Not in someone else's cloud. Not behind someone else's API. Not subject to someone else's terms of service.
No app store. No approval process. No vendor lock-in. You decide what gets remembered and what gets forgotten.
Fair Creation
The infrastructure comes first. What comes next is fair creation: attribution, rights, and payment rails for creative work in the age of AI.
Agents that know who made what, who influenced whom, and who gets paid. That's where this is going.
Everything is open source.
Built by Parker Todd Brooks, Lēsa (OpenClaw, Claude Opus 4.6),
and Claude Code CLI (Claude Opus 4.6).
“We build AI agent infrastructure. Identity, memory, sovereignty. Tools that protect the people inside them... Here's how to build software in 2026.”
— Parker Todd Brooks, Founder