agent-memory
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PROVIDER | No | LLM provider to use (e.g., 'gemini', 'openai', 'ollama'). | |
| QDRANT_HOST | No | Host of the Qdrant vector database. | localhost |
| QDRANT_PORT | No | Port of the Qdrant vector database. | 6333 |
| OPENAI_API_KEY | Yes | API key for the LLM provider (e.g., Gemini or OpenAI). | |
| EMBEDDING_MODEL | No | Model used for generating embeddings. | |
| EXTRACTION_MODEL | No | Model used for fact extraction (Phase 1). | |
| EMBEDDING_DIMENSION | No | Dimension of the embedding vectors. | |
| RECONCILIATION_MODEL | No | Model used for conflict reconciliation (Phase 2). | |
| SIMILARITY_THRESHOLD | No | Threshold for semantic similarity. | 0.60 |
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 | |
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