agentmem provides lightweight persistent memory for AI agents using a single SQLite file, enabling hybrid search capabilities and memory retention across sessions.
From the registry: Lightweight persistent memory for AI agents. Hybrid search. 16 tools. One SQLite file.
$ pip install agentmem-lite[all]Please install the `agentmem` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install agentmem-lite** — Install the Python package from PyPI (with optional extras for best quality). Run: `pip install agentmem-lite[all]` (https://pypi.org/project/agentmem-lite/)
Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","agentmem","--db","/path/to/memory.db"]
Note: Replace /path/to/memory.db with the desired SQLite file path. Also ships an HTTP REST API via agentmem-http CLI.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.