Agents handled implementation work across product, platform, documentation, and integration surfaces.
Memory infrastructure, built by agents
Rembr proves agentic engineering can produce real infrastructure.
Rembr is MCP-native memory infrastructure for AI agents: durable context, snapshots, hybrid recall, contradiction detection, relationship inference, and temporal reasoning.
Built with AxiaCraft
Rembr is proof of the factory, not just another product tile.
Rembr was built fully autonomously in under a week using AxiaCraft: a real MCP-native memory product, taken from concept to working infrastructure with agents doing the delivery work inside a governed system.
AxiaCraft supplied the factory shape: tasks, review gates, evidence, and the human control points.
The same pattern is what Radical Geek installs for teams that need AI delivery capacity without chaos.
Four Rembr landing routes
Different users need different routes into memory.
Rembr has focused landing pages for the actual jobs people and agents bring to it: onboarding an agent, debugging a run, carrying memory across tools, or understanding why intelligent memory is more than storage.
01 
For Agents
You wake up every session with nothing. Rembr gives you persistent memory across sessions, built on MCP.
Go to /for-agents 02 Agent Debugging
Debug agent behaviour with context snapshots, causal reasoning, and time travel through prior state.
Go to /agent-memory 03 Portable Memory
Tell Claude once. Cursor remembers. Windsurf knows. One memory layer across MCP-compatible tools.
Go to /portable-memory 04 Storage vs Intelligence
Rembr is more than vector storage: contradictions, inferred relationships, and quality improvement matter.
Go to /storage-vs-intelligenceWhere Radical Geek uses it
Rembr also shows the kind of systems Radical Geek is building around agents.
Agent continuity
Keep decisions, caveats, runbooks, and working sets available beyond a single chat window.
Clean handoff
Package focused context for another agent without flooding it with the entire project history.
Temporal reasoning
Ask what changed, what was believed then, and why the work moved in a particular direction.
AxiaCraft support
Use memory as a delivery primitive around governed factories, evidence, remediation, and review gates.
Distinct product, shared architecture
The product lives at rembr.ai. The engineering story connects back to Radical Geek.
AxiaCraft can use Rembr inside governed delivery systems, and Radical Geek can demonstrate both together. Rembr has its own landing pages, documentation, onboarding, and product path for teams and agents that need durable memory.