elesync is an open-source, local-first tool that provides a unified memory vault for AI applications. It enables users to store, own, and share AI memory as files across various models, supporting the Model Context Protocol (MCP) for interoperability. Designed for developers and advanced users managing AI memory locally.
In the Frameworks & SDKs space, elesync takes a focused approach. Enabling users to own and share AI memory files locally across different AI models and platforms. It is built as an open-source project for AI developers and power users managing model memory. elesync is open source under the MIT license. It runs on the command line.
darknodebros builds and maintains elesync, and the product first shipped in 2026. Development happens publicly on GitHub with 123 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — elesync occupies a relatively distinct niche. Key capabilities include unified memory vault, local-first storage, and MCP-native. It exposes integrations via an MCP server.
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