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Store notes, code, and terminal output locally for instant context retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "omni-memory" yet — see the docs or source repo.
Save the following project notes, code snippets, and key decisions to local memory for later retrieval by project name: - Project: Apollo API - Stack: FastAPI + PostgreSQL - Decision: implement login and permission control first
Stores the content in the vector memory and retrieves related context by project name.
Save this terminal output, and when I ask about similar errors later, prioritize retrieving related troubleshooting notes: ERROR: connection refused on port 5432 Tried: restarting containers, checking environment variables
Records the error and troubleshooting steps so related fixes can be recalled later.
Inside Claude Code, find the memories I recorded last week about 'payment module refactor' and summarize related code, notes, and todos.
Retrieves memories on the topic and turns them into a concise context summary for continued work.
Turn an Obsidian vault into persistent working memory for your AI.
Provides local persistent memory for coding agents with low-cost context retrieval.
Provide local-first shared memory, auditing, and sync across AI clients.
Build, capture, and search a persistent personal knowledge memory in Markdown.
Provide structured memory, semantic retrieval, and cross-session context for AI apps.
Save and reuse AI memory across platforms for more consistent workflows.