Skip to main content
Glama

agent-memory

Store agent information and recall it by meaning using semantic queries to enable persistent memory across sessions.

Instructions

Agent Memory — Persistent, scoped memory for your agent — store and recall by meaning. The primitive shallow builders lack. (2 MESH/call, a tool · memory)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPayload for agent-memory
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavioral traits. It mentions persistence, scoping, and cost (2 MESH/call), but does not describe side effects, limits, or how retrieval by 'meaning' works. Significant gaps remain.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and directly states the purpose. The parenthetical cost note is useful but slightly cryptic. It could be more structured, but overall it is concise and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should explain return values or behavior more clearly. It does not specify what recall returns or how memory is scoped. For a nested-parameter tool, this is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already defines all parameters. The description adds minimal extra meaning beyond stating 'store and recall by meaning', which is not detailed enough to compensate. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states it is persistent, scoped memory for storing and recalling by meaning. It uses clear verbs (store, recall) and identifies the resource (memory). However, it does not differentiate itself from siblings like agent-brain, which could also involve memory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The phrase 'The primitive shallow builders lack' hints at a comparison but is too vague to inform decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RightOnPar-LLC/mesh-connector'

If you have feedback or need assistance with the MCP directory API, please join our Discord server