agent-memory
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| memory.fetch_contextA | Return a budgeted, ranked Markdown context pack assembled from the project's .agent-memory/ files. Call this before reading source files manually; the pack contains current task state, conventions, and any sections relevant to the query. An empty query returns the bootstrap pack (local current state + conventions + index summary). |
| memory.propose_updateA | Propose one or more structured edits to the project's .agent-memory/ files. Each operation is validated against the schema, scanned for secrets, and checked for required provenance. Depending on the intent and category, the proposal is either applied immediately or staged under .agent-memory/staging// for human review via the apply/reject CLI commands. A rejected proposal is reported in the response body, not as a transport error. |
| memory.statusA | Report memory health and metadata for the project's .agent-memory/ store: file counts per kind, index + current-state sizes, pending staged proposals (with age, TTL remaining, and drift status per proposal), orphaned branch-local files, secret-scan / git / lock posture. Read-only; never modifies any file. Call this to decide whether memory needs maintenance (stale staging, drifted proposals) before proposing further updates. |
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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