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Provide local-first persistent memory for AI agents across projects.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "AI Agent Memory" MCP server from askskill: Run: claude mcp add 'io-github-xiangzi1126-ai-agent-memory-mcp' -- npx -y ai-agent-memory-mcp
Use AI Agent Memory to save key context for this project: the stack is Next.js and PostgreSQL, coding standards use default ESLint rules, and deployment uses Docker.
Key project details are stored in persistent memory for later agent sessions.
Load the saved memory for the current project and use that context before answering follow-up development questions.
The agent retrieves existing project memory and continues working with that context.
Save this architecture decision to the current project's memory and do not share it with other projects.
The memory is tied to the current project, keeping context separate across projects.
Developers can use it to save project conventions, stack choices, and key decisions across multiple sessions. Because the memory is persistent, later agents can continue with the existing context.
When teams want memory to travel with the project instead of staying tied to one agent, this MCP server provides a local-first approach. That lets project context stay with the project itself.
It is an MCP server for persistent memory, designed to give AI agents reusable long-term memory. The description says it is agent-agnostic and local-first.
Based on the description, memory travels with the project instead of being tied only to a single agent session. That makes it suitable for saving and reusing context at the project level.
The provided material does not include installation steps, runtime requirements, or key setup details. See the source repository for specifics.
Add persistent local semantic long-term memory to AI agents.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Manage durable project memory in AGENTS.md for AI agents.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI agents persistent memory to log and recall conversation context via MCP.
Persist and retrieve searchable cross-session memories for AI agents.