cognos-session-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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| save_sessionA | Save a trust-scored session summary to CognOS Session Memory. Call this instead of or after /compact to preserve verified context across sessions. The summary is scored epistemically — short or vague summaries get lower trust scores and may not be injected next session. |
| load_sessionA | Load the last verified session context from CognOS Session Memory. Returns the summary and an inject-ready SESSION_CONTEXT block. Only returns context that passed the trust threshold — never injects low-confidence or stale sessions. |
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 2 tools
The two tools have completely distinct purposes: load_session retrieves context and save_session stores it. There is no overlap in their functionality, making it easy for an agent to select the correct one.
Both tools follow a consistent verb_noun pattern (load_session, save_session), which is clear and predictable. No mixing of conventions.
With only 2 tools, the surface is thin for a memory management system. While it covers the basic load/save operations, the count is borderline low for the implied scope.
The tool set covers loading and saving sessions, but lacks operations like list, delete, or update sessions. There are notable gaps that may require agents to work around missing functionality.