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Connect Claude Code to local EverOS for private long-term memory search and storage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "everos-mcp" yet — see the docs or source repo.
Use everos-mcp to search my local EverOS long-term memory for “payment module refactor” and summarize key decisions and open tasks in chronological order.
Relevant memory entries plus a structured summary of context, key decisions, and unfinished items.
Store today’s discussion outcome about the API authentication approach in EverOS long-term memory, including the chosen solution, reasons, risks, and next steps.
The discussion is saved to local long-term memory for future retrieval and reuse.
First retrieve my previously stored “logging system overhaul” memory through everos-mcp, then propose implementation steps for the next phase based on that context.
It retrieves prior memory first, then provides more context-aware implementation recommendations.
When iterating on the same project, developers can save decisions, architecture notes, and TODOs into local EverOS and retrieve them in later conversations. This reduces the need to restate context repeatedly.
This fits users who prefer local data handling. By connecting Claude Code to a local EverOS instance, they can search and store memory on their own machine, as stated in the description.
It connects Claude Code to a local EverOS instance for searching and storing long-term memory. The description emphasizes that data stays entirely on your machine.
Based on the description, you need Claude Code and a locally running EverOS instance. For exact installation and configuration steps, see the source repository.
From the provided description, its goal is to keep data entirely on your local machine. For implementation details, see the source repository.
Connect Codex to local EverOS for long-term memory search and management.
Give Claude Code cross-session long-term memory with SQLite full-text search.
Give Claude Code persistent memory, checkpoints, and project sync across sessions.
Provide portable long-term memory across AI agents, platforms, and workflows.
Give Claude Code cross-machine, file-first memory with synced full-text search.
Give AI coding assistants long-term memory across sessions for persistent context.