A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
57
Does it follow best practices?
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Agent memory setup workflow
Correct clone destination
0%
100%
Correct source repo
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100%
npm install step
25%
100%
Compile step present
0%
100%
start-server command
0%
100%
Project ID argument
35%
100%
Absolute path argument
35%
100%
Node.js version requirement
100%
100%
Script parameterized
100%
100%
Without context: $0.2853 · 1m 21s · 18 turns · 20 in / 4,668 out tokens
With context: $0.3152 · 59s · 19 turns · 22 in / 3,661 out tokens
MCP tool names and argument formats
memory_write tool name
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100%
memory_write key arg
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100%
memory_write type arg
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memory_write content arg
0%
100%
memory_write tags arg
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100%
memory_search tool name
0%
100%
memory_search query arg
0%
100%
memory_search optional filters
0%
100%
memory_read tool name
0%
100%
memory_read key arg
0%
100%
memory_stats tool name
0%
100%
memory_stats no required args
0%
100%
Without context: $0.4395 · 1m 33s · 17 turns · 1,682 in / 4,893 out tokens
With context: $0.2017 · 57s · 11 turns · 268 in / 3,200 out tokens
Dashboard setup and complete workflow
Clone to correct path
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100%
npm install step
0%
100%
Compile step
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100%
start-server with project ID
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100%
start-server with absolute path
0%
100%
Dashboard start command
0%
100%
Dashboard receives absolute path
0%
100%
Dashboard URL correct
0%
100%
Node.js prerequisite
0%
100%
Source repo URL
0%
100%
Without context: $5.8680 · 17m 12s · 125 turns · 7,022 in / 32,655 out tokens
With context: $0.1724 · 35s · 12 turns · 13 in / 2,295 out tokens
Table of Contents
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