Agent Memory
by Masikomoore
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MEMORY_LLM_MODEL | Yes | The LLM model to use for extraction (e.g., your-model). | |
| MEMORY_LLM_API_KEY | Yes | API key for the LLM provider used by the SmartExtractor. | |
| MEMORY_SERVER_TOKEN | Yes | A long random bearer token used to authenticate MCP clients that connect to the server. | |
| MEMORY_EMBEDDING_MODEL | Yes | The embedding model to use (e.g., text-embedding-3-small). | |
| MEMORY_EMBEDDING_API_KEY | Yes | API key for the embedding provider (e.g., OpenAI or compatible API). |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessResponsive