Private memory layer for agents

memMCP: reusable context for AI agents

Fix the context problem plaguing vibecoders everywhere.

memMCP turns context into memory so your agents stop paying for the same tokens over and over. It is local-first, private by default, and MCP-compatible.

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Why it matters

Long-context prompts are expensive and unreliable at scale.

memMCP keeps context reusable, cheap, and consistent.

What you get

Memory bank, semantic recall, orchestration, and observability in one stack.

Private by default

Self-host or deploy managed. Data stays in your control.

Pilot (2-4 weeks)

We measure baseline token spend, deploy memMCP, and deliver a before/after savings report. If you have a workflow burning long-context tokens, this is the fastest way to prove ROI.

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