SuperLocalMemory
A local-first memory-layer tool for AI agents that provides a unified, reliable and controllable memory solution for mainstream AI coding tools such as Claude Code, Codex and Cursor as well as MCP-compatible agents, supporting multimodal retrieval, local storage and memory governance.
Timeline (last 90 days)
Qualixar (which describes itself as an AI reliability engineering lab) launched a product called SuperLocalMemory, positioned as a local-first agent memory brain.
SuperLocalMemory supports mainstream AI coding tools such as Claude Code, Codex, Cursor, and ChatGPT, as well as any agent compatible with the MCP protocol or CLI.
SuperLocalMemory is supported theoretically by four arXiv papers and was re-released after a thorough rewrite.
SuperLocalMemory's recall function explicitly distinguishes three states: supported, related, or no answer.
SuperLocalMemory performs memory verification through Laya (local Mac side) or Jev (online side) to ensure reliability.
SuperLocalMemory integrates Google's EmbeddingGemma 2 model and supports finding images and PDF files through natural language descriptions.
SuperLocalMemory uses the AGPL-3.0 open-source license, and all memory data is stored locally by default, giving users complete data control.
SuperLocalMemory has governed and mesh-connected characteristics; the former ensures the compliance and controllability of memories, and the latter supports memory sharing and collaboration between multiple devices or multiple agents.
SuperLocalMemory received 84 votes and 7 comments on Product Hunt, ranking 19th.
SuperLocalMemory is suitable for developers who need to share context across multiple AI coding tools, teams with high requirements for data privacy, and researchers who need to process large amounts of images and PDF materials.
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All Facts (11)
Users can obtain installation instructions through SuperLocalMemory's GitHub repository, and individuals and small teams can freely use and modify it under the AGPL-3.0 license.
50%UnverifiedSuperLocalMemory supports mainstream AI coding tools such as Claude Code, Codex, Cursor, and ChatGPT, as well as any agent compatible with the MCP protocol or CLI.
50%UnverifiedSuperLocalMemory is supported theoretically by four arXiv papers and was re-released after a thorough rewrite.
50%UnverifiedSuperLocalMemory's recall function explicitly distinguishes three states: supported, related, or no answer.
50%UnverifiedSuperLocalMemory performs memory verification through Laya (local Mac side) or Jev (online side) to ensure reliability.
50%UnverifiedSuperLocalMemory integrates Google's EmbeddingGemma 2 model and supports finding images and PDF files through natural language descriptions.
50%UnverifiedSuperLocalMemory uses the AGPL-3.0 open-source license, and all memory data is stored locally by default, giving users complete data control.
50%UnverifiedSuperLocalMemory has governed and mesh-connected characteristics; the former ensures the compliance and controllability of memories, and the latter supports memory sharing and collaboration between multiple devices or multiple agents.
50%UnverifiedSuperLocalMemory received 84 votes and 7 comments on Product Hunt, ranking 19th.
50%UnverifiedSuperLocalMemory is suitable for developers who need to share context across multiple AI coding tools, teams with high requirements for data privacy, and researchers who need to process large amounts of images and PDF materials.
50%UnverifiedQualixar (which describes itself as an AI reliability engineering lab) launched a product called SuperLocalMemory, positioned as a local-first agent memory brain.
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