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Give AI coding assistants local persistent memory, semantic search, and task tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "aivectormemory" yet — see the docs or source repo.
Store the current repository's tech stack, folder structure, coding conventions, and pending tasks in vector memory. When I reopen a session later, summarize the project context from memory first and continue development.
The AI saves key project details and later resumes work by recalling context automatically.
Search memory for past discussions related to authentication refactoring, permission models, and login failure handling. Summarize previous decisions, reasons, and remaining tasks.
Returns semantically matched history and distills it into decisions and next actions.
Create a task list for the current sprint, split frontend and backend subtasks, assign priority and status, and automatically update task progress in local memory after code changes.
Produces a trackable task list and keeps task status and development progress in local memory.
Turn an Obsidian vault into persistent working memory for your AI.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI coding assistants persistent memory and local vector search.
Give AI coding assistants persistent memory across sessions with automatic context injection.
Give AI coding agents persistent memory across sessions for people, decisions, and context.