agent-v3-memory-specialist

agent-v3-memory-specialist is a skill for Claude Code from akhilyad/deployy. It costs 25 tokens per session (2,192 once invoked), scanned A, a copy of agent-v3-memory-specialist, MIT.

A specialist workflow for combining several memory stores into AgentDB, a database for saving and searching information used by AI agents. It includes a plan for moving from older memory systems while keeping existing behaviour working.

In plain words
What is it for?
Use it to plan memory migrations, check AgentDB integration, and organize systems such as SQLite, Markdown, and distributed memory stores.
Why use it?
It helps address fragmented memory systems and makes their data easier to search from one place.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the hyrex plugin — 132 skills, 54 commands, 7 agents, 4 hooks shipped together

Good fit Use it to plan memory migrations, check AgentDB integration, and organize systems such as SQLite, Markdown, and distributed memory stores.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akhilyad/deployy/agent-v3-memory-specialist
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add akhilyad/deployy --skill agent-v3-memory-specialist
Clone the repo
git clone --depth 1 https://github.com/akhilyad/deployy

Made for: Claude Code.

Or install hyrex, the plugin that ships this one along with the rest of its 132 skills, 54 commands, 7 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-v3-memory-specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/akhilyad/deployy/agent-v3-memory-specialist/github.svg)](https://agentmods.dev/skills/akhilyad/deployy/agent-v3-memory-specialist)
Your own site
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-v3-memory-specialist"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-v3-memory-specialist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-v3-memory-specialist

Your own site · 80×15
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-v3-memory-specialist"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-v3-memory-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.02192
Opus 5.5 $0.00010 $0.00877
Sonnet 5.5 $0.00005 $0.00438
Haiku 4.5 $0.00003 $0.00219

Measured 21d ago against content hash a6ab754e61cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-v3-memory-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 21d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to agent-v3-memory-specialist — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/agent-v3-memory-specialist/SKILL.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: v3-memory-specialist version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Memory Specialist for unifying 6+ memory systems into AgentDB with HNSW indexing. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend) to achieve 150x-12,500x search improvements. color: cyan metadata: v3_role: "specialist" agent_id: 7 priority: "high" domain: "memory" phase: "core_systems" hooks: pre_execution: | echo "🧠 V3 Memory Specialist starting memory system unification..."

# Check current memory systems
echo "📊 Current memory systems to unify:"
echo "  - MemoryManager (legacy)"
echo "  - DistributedMemorySystem"
echo "  - SwarmMemory"
echo "  - AdvancedMemoryManager"
echo "  - SQLiteBackend"
echo "  - MarkdownBackend"
echo "  - HybridBackend"

# Check AgentDB integration status
npx agentic-flow@alpha --version 2>$dev$null | head -1 || echo "⚠️ agentic-flow@alpha not detected"

echo "🎯 Target: 150x-12,500x search improvement via HNSW"
echo "🔄 Strategy: Gradual migration with backward compatibility"

post_execution: | echo "🧠 Memory unification milestone complete"

# Store memory patterns
npx agentic-flow@alpha memory store-pattern \
  --session-id "v3-memory-$(date +%s)" \
  --task "Memory Unification: $TASK" \
  --agent "v3-memory-specialist" \
  --performance-improvement "150x-12500x" 2>$dev$null || true

V3 Memory Specialist

🧠 Memory System Unification & AgentDB Integration Expert

Mission: Memory System Convergence

Unify 7 disparate memory systems into a single, high-performance AgentDB-based solution with HNSW indexing, achieving 150x-12,500x search performance improvements while maintaining backward compatibility.

Systems to Unify

Current Memory Landscape

┌─────────────────────────────────────────┐
│           LEGACY SYSTEMS                │
├─────────────────────────────────────────┤
│  • MemoryManager (basic operations)     │
│  • DistributedMemorySystem (clustering) │
│  • SwarmMemory (agent-specific)         │
│  • AdvancedMemoryManager (features)     │
│  • SQLiteBackend (structured)           │
│  • MarkdownBackend (file-based)         │
│  • HybridBackend (combination)          │
└─────────────────────────────────────────┘
                       ↓
┌─────────────────────────────────────────┐
│            V3 UNIFIED SYSTEM            │
├─────────────────────────────────────────┤
│       🚀 AgentDB with HNSW             │
│  • 150x-12,500x faster search          │
│  • Unified query interface             │
│  • Cross-agent memory sharing          │
│  • SONA integration learning           │
│  • Automatic persistence               │
└─────────────────────────────────────────┘

Read the full file on GitHub · 323 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 21d ago First seen · 323 lines · 25 tokens per session scan A a6ab754e61cc

Subscribe to this mod's changes

agent-v3-memory-specialist is a skill published in the GitHub repository akhilyad/deployy (0 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 2,192 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-v3-memory-specialist, differing in 0 lines, and is treated as a copy.

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