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nmem_eternal

Save project context, decisions, and persistent instructions across sessions. Store project-level facts for AI agents to retain between conversations.

Instructions

SAVE project context, decisions, instructions that persist across sessions. Pair with nmem_recap to LOAD. Use for project-level facts, not task-specific memories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesstatus=view memory counts and session state, save=store project context/decisions/instructions
reasonNoReason for the decision
compactNoReturn compact response (strip metadata hints, truncate lists). Saves 60-80% tokens.
decisionNoAdd a key decision (saved as DECISION)
tech_stackNoSet tech stack (saved as FACT)
instructionNoAdd a persistent instruction (saved as INSTRUCTION)
project_nameNoSet project name (saved as FACT)
token_budgetNoMax tokens for response. Progressively strips content to fit budget.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.62.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full behavioral burden. It mentions persistence across sessions, which is a key behavioral trait, but doesn't describe whether saving is reversible, what permissions are required, or what happens to existing memories when new ones are added. For a mutation tool with zero annotation coverage, this is a notable gap.

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?

Two concise sentences that are front-loaded with the core action and purpose. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given the complexity (8 parameters, mutation operation, no annotations, no output schema), the description covers the basic purpose and a key usage distinction, but leaves significant gaps regarding behavioral traits like reversibility, permissions, and interaction with existing memories. It is adequate but not complete for a tool of this complexity.

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 the schema already documents all 8 parameters thoroughly. The description doesn't add any parameter-specific meaning beyond what the schema provides. Baseline 3 is appropriate when the schema does all the heavy lifting.

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 clearly states the verb and resource: it SAVES project context, decisions, and instructions that persist across sessions. It distinguishes itself somewhat from siblings by scoping to project-level facts rather than task-specific memories, which helps differentiate it from nmem_remember.

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?

The description explicitly says to use for project-level facts, not task-specific memories, and pairs it with nmem_recap for loading. It doesn't name all relevant alternatives like nmem_remember, but the primary when-to-use condition is clear.

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