universal-memory
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| initialize_projectC | Initialize the local Universal Memory project layout. |
| statusA | Expose local cognitive persistence memory initialization and health check status. Returns initialization state, fact counts, active rules, registered skills, approximate size, host validations, and recommended actions. |
| bootstrapA | Load UMEM status, active project context, and the skills catalog once per session. |
| inspect_project_layoutA | Report the active project layout without mutating files. |
| migrate_project_layoutC | Copy curated legacy project content into visible shared project storage. |
| doctorA | Run read-only environment diagnostics for Universal Memory. |
| contextB | Assemble the active cognitive memory context for AI agent operations. Retrieves and compiles project-specific or global context facts, preferences, and rules formatted in Markdown, optimized for injection into system prompts. |
| remember_factC | Persist a memory fact through the shared safe mutation pipeline. |
| list_factsB | List memory facts with optional scope and status filters. |
| purge_factA | Purge one fact by id or all facts in a scope through the shared use case. Requires |
| list_audit_eventsC | List audit events for a scope. |
| list_snapshotsC | List created snapshots for a scope. |
| rollback_scopeB | Rollback the latest created snapshot for a scope. Requires |
| host_setupC | Configure an agent host manifest through the safe mutation pipeline. |
| host_checkB | Validate an agent host manifest without mutating files. |
| sync_instructionsC | Synchronize approved active rules into supported instruction targets. |
| propose_skillB | Review or decide a latent skill proposal. If |
| track_latent_skillD | Explicitly track or increment recurrence for a latent skill opportunity. |
| generate_skillC | Generate the physical Agent Skill structure for an approved latent skill. |
| create_skillC | Create a canonical Agent Skill without native sync unless sync is explicit. |
| create_skill_draftA | Create an editable draft skill without canonical publish or native runtime writes. |
| validate_skillA | Validate a draft, canonical skill, or local skill path without mutating files. |
| publish_skillC | Publish a validated draft as canonical and optionally sync native targets. |
| share_skillC | Explicitly copy a project skill into shared repository content. |
| promote_skill_recommendationC | Promote an approved latent skill candidate into a canonical Agent Skill. |
| sync_skillsC | Synchronize canonical Agent Skills into native targets with optional git warnings. |
| import_skillC | Import an existing native or local Agent Skill directory into canonical UMEM storage. |
| adopt_skillB | Adopt an existing skill directory into UMEM without creating duplicate slugs. |
| update_canonical_skillC | Update canonical skill content with validation and optional native sync. |
| rename_skillA | Rename a canonical skill slug while blocking unmanaged destination conflicts. |
| cleanup_skillC | Plan or apply managed-only native target cleanup for a canonical skill. |
| repair_skillsC | Plan or apply managed-only repair for orphan native skill targets. |
| list_skillsA | List registered skills and candidates without mutating local state. |
| recommend_skillsA | Review read-only latent skill recommendations captured by explicit skills.track evidence. This never promotes, imports, syncs, creates, or mutates skills. |
| get_skill_detailC | Inspect metadata and triggers for one registered skill. |
| activate_skillB | Reactivate an ignored latent skill through the shared safe mutation pipeline. |
| deactivate_skillC | Deactivate an active latent skill without deleting its physical SKILL.md. |
| update_skillC | Update skill metadata or markdown through the shared safe mutation pipeline. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 38 tools
There are many skill-related tools with heavily overlapping purposes, such as create_skill, create_skill_draft, generate_skill, import_skill, adopt_skill, and promote_skill_recommendation. An agent would struggle to choose the correct tool without deep domain knowledge, and the boundaries between latent tracking, proposals, recommendations, and canonical skill creation are not obvious.
Most tools follow a consistent snake_case verb_noun pattern, like list_facts, purge_fact, validate_skill, and rename_skill. There are only a few deviations such as bootstrap, status, context, doctor, host_setup, and host_check, which are still readable but break the otherwise predictable convention.
38 tools is excessive for a single server, especially when roughly two dozen are dedicated to skill lifecycle management. This creates unnecessary selection burden and overlaps; the server would benefit from consolidation or splitting into focused sub-servers.
The server covers a broad range of memory, snapshot, audit, host, and skill lifecycle workflows with surprising depth. However, there are minor gaps like updating an existing memory fact, deleting a canonical skill entirely, or rolling back to a specific snapshot rather than only the latest.