VEKTOR Memory is a local-first persistent memory SDK for AI agents — giving Claude, GPT, Groq, Gemini, and Ollama the ability to remember across sessions, without sending data to the cloud.
VEKTOR Memory is a persistent memory layer for AI agents, built on a four-layer associative graph architecture called MAGMA (Semantic, Temporal, Causal, Entity). It runs entirely on local hardware using SQLite, works with every major AI provider via the Model Context Protocol, and ships with 34 MCP tools, 21 integrations, and a CLI. No cloud sync. No telemetry. No subscription. Your agent’s memory belongs to you.
VEKTOR Memory is a persistent memory SDK for AI agents. It replaces the blank-slate problem — where every AI session starts with no context from the last — with a structured, local-first memory layer that accumulates knowledge over time, across tools, and across sessions.
The core architecture is MAGMA: a four-layer associative graph built on SQLite-vec. Semantic, Temporal, Causal, and Entity layers work together to store not just facts but relationships, contradictions, timelines, and patterns. Recall uses a dual-channel BM25 plus semantic pipeline, returning ranked results in under 1ms from local storage. The system also runs a background REM cycle that consolidates and prunes memories autonomously.
VEKTOR ships as a Node.js CLI and SDK with 34 MCP tools, native support for Claude Desktop, Cursor, Windsurf, VS Code, Cline, Roo Code, and 21 provider integrations. It is sold as a one-time commercial licence. No subscription, no data on external servers, no dependency on any cloud provider. The open-source ecosystem includes Vex (vector memory portability), Vek-Sync (MCP config sync), and Via (universal CLI integration layer).
v1.5.8 — released May 2026vektormemory.com[email protected] — response within 48 hoursThe founder of VEKTOR Memory is an independent developer with 40 years of computing experience, building production AI infrastructure without venture capital or external funding. Based between Australia, they ship closed-source commercial tooling during active development and open-source the components that belong to the community.
The founder of VEKTOR Memory has been working with computers for 40 years — across hardware, software, and systems that predate most of the current AI stack. VEKTOR began as a personal problem: AI agents that forgot everything between sessions, making them useless for any serious ongoing work. The solution, built entirely without VC funding, is now a production-grade memory SDK used by developers building agents with Claude, GPT, Groq, Gemini, and Ollama. The philosophy is direct: your agent’s memory belongs to you. No telemetry, no cloud sync, no subscription dependency. Build the tool properly first, open-source the parts the community should own, and charge for the rest.
We will never contact you asking for your personal information, your AES-256 credential vault files, or your API keys. VEKTOR Memory does not store any user data on our servers for any product — open source or closed source. Your memories, credentials, and vault files live on your machine only. We have no access to them. This is not a policy. It is the architecture.
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