Skip to main content
Glama
yamantaka520

agent-memory-os

memory_context_pack

Retrieves and formats the most relevant memories within a token budget, de-duplicating and flagging contradictions. Provides a ready-to-paste text block for prompts.

Instructions

Build a prompt-ready, token-budgeted block of the most relevant memories.

    Prefer this over `memory_search` when you want text to paste straight into a
    prompt: it selects and formats the highest-value memories within `max_tokens`,
    de-duplicates, and flags contradictions. Access-controlled to this agent's
    identity. Returns a formatted string (empty if nothing relevant is visible).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerNoOptional filter to a single owner id. Leave unset to include everything this agent may see.
queryYesThe task or question to gather relevant memories for.
max_tokensNoApproximate token budget for the returned block; the most relevant memories are selected to fit.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Fully describes behavior without annotations: selects highest-value memories, fits within max_tokens, de-duplicates, flags contradictions, access-controlled, returns formatted string or empty.

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

Conciseness5/5

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

Four sentences, front-loaded with purpose, no fluff. Every sentence contributes meaningful information.

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

Completeness5/5

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

Given moderate complexity, output schema presence, and full annotation burden, the description is complete: covers purpose, usage, behavior, and parameter semantics adequately.

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

Parameters4/5

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

Schema has 100% coverage, so baseline is 3. Description adds value by explaining that max_tokens is a budget and that selection is based on relevance, but this is mostly repetition of schema descriptions.

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

Purpose5/5

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

Clearly states verb 'Build' and resource 'prompt-ready, token-budgeted block of memories'. Explicitly differentiates from sibling memory_search with a usage preference.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'Prefer this over memory_search when you want text to paste straight into a prompt'. Implicitly indicates when to use alternative.

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

Install Server

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/yamantaka520/Agent-Memory-OS'

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