$ loading_
Save and restore AI session context locally with JSON files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-memo" yet — see the docs or source repo.
Use local-memo to load my last saved session context and summarize the current task, to-dos, and unresolved issues.
A summary of the saved context so the AI can continue from where it left off.
Save our current requirements, key decisions, completed steps, and next actions to local-memo as a project checkpoint.
A structured local JSON memory file is created for later restoration.
After each subtask, update the local context with local-memo, including goals, progress, blockers, and references.
Continuously updated restorable session memory that keeps long-running work consistent across sessions.
Provide persistent local memory and semantic search for MCP AI clients.
Provide persistent local semantic memory for MCP tools to store and search notes.
Let AI read, write, search files, and run local commands.
Give AI agents persistent memory and semantic retrieval across conversations.
Connect Obsidian vaults for local-first AI memory search and knowledge management.
Give AI agents persistent memory, shared reasoning, and auditable collaboration.