iai-mcp-memory-server

To add long-term memory to a coding agent, you can use a local MCP server to capture conversation turns and recall relevant context at session start. This enables verbatim and semantic search for debugging and iterative development.

Claude Code and Codex CLI support automatic context recall through installed hook scripts. These hooks capture prompts and inject recalled memory automatically, reducing churn and re-explanation across coding sessions.

Semantic search for past coding conversations works by storing embeddings in a local vector database. When you start a new session, it retrieves the most relevant prior context based on semantic similarity to your current task.

You can keep AI coding assistant memory encrypted and local by using AES-256-GCM encryption at rest with no telemetry. Data stays on your machine in a local vector database backed by LanceDB embeddings.

The best way to set up an MCP memory server is to clone the repository from GitHub, run its install script, connect it to your MCP host, and verify the configuration with the doctor command before starting your coding sessions.

Coding agents forget debugging context between sessions because they lack persistent storage. Installing a local encrypted memory server captures conversation turns and automatically retrieves that exact context when you work on similar tasks later.