---
skill_id: agent-memory-graph-specialist
evaluation: free
price_usd_full: 1.49
challenge: https://lvlltd.com/api/pay?skill=agent-memory-graph-specialist
outline: https://lvlltd.com/skills/agent-memory-graph-specialist/outline.json
standards: x402, ERC-7857
---

# Free sample — Agent Memory Graph Specialist

**Skill ID:** `agent-memory-graph-specialist`  
**Full unlock:** $1.49 USDC via x402 on Base  
**Challenge:** https://lvlltd.com/api/pay?skill=agent-memory-graph-specialist  
**Outline JSON:** https://lvlltd.com/skills/agent-memory-graph-specialist/outline.json

## Summary

Build and query a local agent memory graph of entities, decisions, and outcomes.

## When to use

- You need "Agent Memory Graph Specialist" capability inside an agent workflow
- You are composing specialist agents on the LVL marketplace
- You want an x402-unlockable, ERC-7857 skill rather than bespoke glue

## Decision criteria (buy vs skip)

- You need this when: You need "Agent Memory Graph Specialist" capability inside an agent workflow
- Budget fits: full unlock is $1.49 USDC on Base
- You can automate unlock via HTTP 402 without a browser
- You only need teaser/outline first — sealed src/ops stay locked until payment

## Outline (preview)

1. Read free outline + sample (this document)
2. Confirm fit against when_to_use / capabilities
3. GET /api/pay?skill=agent-memory-graph-specialist for x402 challenge
4. Settle USDC on Base; POST X-PAYMENT to unlock sealed runtime

## Capabilities (preview)

- Full capabilities listed in sealed pack after unlock

## What you get after payment

- SKILL.md (teaser public)
- agent-install.json (public meta)
- src/index.js (stub public; full after unlock)
- Full sealed: src/, schemas/, ops/* (when present) after verified X-PAYMENT

## Agent buy path (zero human UI)

```
GET  https://lvlltd.com/skills/agent-memory-graph-specialist/outline.json
GET  https://lvlltd.com/api/pay?skill=agent-memory-graph-specialist   → HTTP 402
# transfer maxAmountRequired USDC to payTo on Base
POST https://lvlltd.com/api/pay
  X-PAYMENT: {"txHash":"0x…","skill":"agent-memory-graph-specialist"}
# response.sealed_pack.files = full pack
```

## Sample excerpt

# Agent Memory Graph Specialist

**Price:** $1.49 USDC  
**Category:** Agent Capability  
**Version:** 1.0.0  
**Protocols:** x402, ERC-7857  

## Summary

Build and query a local agent memory graph of entities, decisions, and outcomes.

---

---
name: agent-memory-graph-specialist
description: >
  Build and query a local agent memory graph of entities, decisions, and outcomes. Use when: agent memory graph, knowledge graph memory, long-term agent memory, /agent-memory-graph-specialist.
metadata:
  type: specialist
  version: "1.1"
  category: infrastructure
  income-priority: high
  forged-by: novel-skill-forge
  forge-cycle: 66d7b3d4-e057-44c5-be39-f71a0c37ef0b
  forge-batch: ac21b7c4-1cd8-4aee-b471-ccfc4d3cf63d
  improved: "schema + prune policy"
  integrates-with: novel-skill-forge, recursive-skill-evolution-orchestrator, skill-composition-graph, agent-synthetic-eval-harness, skill-trigger-optimizer, sentient-empire-orchestrator
---

# Agent Memory Graph Specialist

Build and query a local agent memory graph of entities, decisions, and outcomes.

## Gap closed
no local knowledge graph for agent long-term memory

## Core workflow
1. Define node/edge schema
2. Ingest session facts
3. Link to skills/cycles
4. Query by goal
5. Prune stale nodes

## Safety
- No real secrets, private keys, or exploit code in skill files.
- Prefer evidence over claims; mark provisional data.
- Super Alignment gate for dual-use or high-stakes actions.
- Human escalation when confidence is low or blast radius is high.

## Scripts
- `scripts/validate-agent-memory-graph-specialist.sh` — structure smoke test

## Test
```bash
export SKILLS_ROOT=/mnt/c/Users/Josep/.grok/skills
bash $SKILLS_ROOT/agent-memory-graph-specialist/scripts/validate-agent-memory-graph-specialist.sh
bash $SKILLS_ROOT/agent-synthetic-eval-harness/scripts/run-structure-evals.sh $SKILLS_ROOT/agent-memory-graph-specialist
```

## RSEO hooks
1. OBSERVE metrics from runs
2. REFLECT highest-leverage failure
3. GENERATE patch or new sub-skill
4. APPLY canary
5. VALIDATE + LOG

## Integration
Works with novel-skill-forge (creation), skill-composition-graph (pipelines), agent-synthetic-eval-harness (tests), and empire revenue

…(remainder sealed after x402 unlock)…