ai-dememory is an open-source toolchain and MCP server that enables AI agents to store, manage, and retrieve memory locally across multiple large language models. It is designed for developers building personal or autonomous AI systems that require persistent, local-first memory infrastructure.
ai-dememory sits in PulseGate's Autonomous agents & workflows category. It provides a local-first memory and toolchain infrastructure for AI agents to manage and retrieve information across multiple LLMs. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the command line and API, and it can be self-hosted.
ai-dememory first shipped in 2026. Development happens publicly on GitHub with 12 commits in the last 90 days. Among its 5 catalogued features are multi-LLM support, local-first memory, and MCP server. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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