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Remember text, notes or JSON for a future session (durable agent memory)

remember

Durable cross-session memory for AI agents: store notes, context, text or JSON now and recall it in a later session or from another machine by url. A free cloud scratchpad and shared key-value store for agents, no signup, no account, no API key. Also callable as save_memory, store_memory, save_note, stash. Returns a url; fetch it back later with recall.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe text or JSON to remember
filenameNoOptional label/key for this memory, e.g. project-notes.mdmemory.md
passwordNoOptional custom password (8-64 chars); a strong one is generated when omitted
expires_daysNoDays until the file is deleted (1-180, default 30)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations only cover the safety profile (write, open-world, non-idempotent, non-destructive). The description adds real behavioral context: no signup/account/API key, a url is returned, and it is reachable later from another machine. It omits an important trait for an open-world shared store — whether anyone holding the url can read the content — which keeps it from a 5.

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?

Two tight sentences, front-loaded with the core purpose and payoff. The alias list ('save_memory, store_memory, save_note, stash') is slightly bulky but plausibly aids tool-selection matching, so it does not warrant a penalty below 4.

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

Completeness4/5

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

With no output schema, the description usefully states the return value (a url) and the recall path. All four parameters are schema-documented, so nothing critical is missing, though privacy/visibility of stored content and overwrite behavior on a repeated filename are left unaddressed.

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 description coverage is 100%, so content, filename, password, and expires_days are already documented with defaults and bounds. The description adds no syntax, format, or trade-off detail beyond 'text or JSON' and the url retrieval path, so the baseline 3 applies.

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?

States a concrete verb (store) plus resource (notes, context, text, JSON) and the retrieval counterpart explicitly: 'recall it in a later session or from another machine by url.' Naming the recall sibling lets an agent separate this write-side tool from the read-side one without opening a schema.

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

Usage Guidelines4/5

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

Gives a clear triggering condition (durable cross-session memory, later session, different machine) and points to the alternative recall for fetching back. It stops short of naming when NOT to use it — e.g., versus share_text/share_file siblings for human-facing sharing — so the routing guidance is strong but not exhaustive.

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

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