CodeClaw builds the memory layer for business AI agents, with long-term recall, searchable history, entity tracking, and decision memory across sessions.
Most AI agents forget everything. They lose context, repeat questions, and can’t build durable intelligence. That makes them hard to trust in production.
Every session starts from zero. Users re-explain the same context again and again.
No history, no accountability, no way to know why the agent did what it did.
If the agent knows something, you need to see it, search it, and verify it.
CodeClaw gives agents a durable memory layer, so they can remember users, projects, entities, and decisions over time.
Carry context across sessions without re-prompting.
Ask what happened, when it happened, and why.
Track people, companies, workflows, and relationships.
Keep a timeline of choices and outcomes.
Store information in a format agents can use reliably.
Works for builders using OpenAI, Claude, OpenClaw, LangChain, and custom stacks.
Keep important context across sessions and workflows.
Retrieve past events, notes, and decisions instantly.
Organize memory around people, projects, and companies.
Understand what changed and why.
Stop re-explaining the same context every time.
Plug into your stack without rebuilding your app.
Help copilots remember users, tasks, and prior actions.
Preserve workflow state across multi-step automations.
Keep project history, decisions, and relationship context in one place.
Placeholder for customer logos, testimonials, and a short line about teams building production AI systems with CodeClaw.
Simple SaaS pricing to start. Keep a managed tier for teams that want help getting it live.
For solo builders and prototypes.
For real product teams.
For teams shipping agents at scale.
No. It is the memory layer and product logic around retrieval, structure, and continuity.
Developers, founders, and teams building AI agents that need durable memory.
Yes. That is the whole point.
Yes. Search is a core part of the product.