Agent skill

Memory

by automateyournetwork in automateyournetwork/netclaw

NetClaw's native persistent memory (spec 033) — structured facts with temporal validity, semantic search across past sessions, decision logging, and entity relationships, backed by SQLite + ChromaDB…

Apache-2.0Auto-check passedAgent Workflows

Install Memory

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/memory .claude/skills/memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .claude/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/memory .agents/skills/memory && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .agents/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/memory .cursor/skills/memory && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .cursor/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/memory

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/memory .gemini/skills/memory && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .gemini/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/memory .github/skills/memory && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .github/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill memory -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw memory --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/memory .opencode/skills/memory && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "memory" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/memory into .opencode/skills/memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: memory
GitHub stars: 675
Token cost: ~1.2k tokens
SKILL.md length: 399 words
Files: 1
Skills in repo: 120
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 4 steps: Structured Fact Storage → Semantic Recall → Decision Logging → …
Recalling operational facts
SKILL.md covers Overview, Capabilities, MCP Tools and Usage Examples, plus 4 more sections
Calls uvx and sqlite3

What it does

Memory is an agent skill from automateyournetwork/netclaw. NetClaw's native persistent memory (spec 033) — structured facts with temporal validity, semantic search across past sessions, decision logging, and entity relationships, backed by SQLite + ChromaDB at ~/.openclaw/memory/. This is the primary, GAIT-integrated memory system referenced by SOUL Principle 9. Use when recording or recalling operational facts, past decisions, or entity relationships across sessions. For the alternate community MemPalace tool (wing/room/drawer model with its own knowledge graph), see…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Diagrams, Agent memory and Knowledge graphs. It works with Chroma and SQLite. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.

When your agent uses it

Recalling operational facts
Entity relationships across sessions

Example prompts

“/memory”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Structured Fact Storage
Semantic Recall
Decision Logging
Entity Relationships

What it can do on your machine

Read from SKILL.md and the folder at commit 95bb17e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- uvx
- sqlite3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uvx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory loads about 1.2k tokens when it runs. Until then it costs about 157 tokens; SKILL.md has 399 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~157
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from automateyournetwork/netclaw at commit 95bb17e, republished under its Apache-2.0 licence (© automateyournetwork). 399 words, ~1,181 tokens.

Download SKILL.mdSave it as .claude/skills/memory/SKILL.md (or your agent's skills folder).

name: memory
description: NetClaw's native persistent memory (spec 033) — structured facts with temporal validity, semantic search across past sessions, decision logging, and entity relationships, backed by SQLite + ChromaDB at ~/.openclaw/memory/. This is the primary, GAIT-integrated memory system referenced by SOUL Principle #9. Use when recording or recalling operational facts, past decisions, or entity relationships across sessions. For the alternate community MemPalace tool (wing/room/drawer model with its own knowledge graph), see `mempalace` instead — the two stores don't share data, so pick one per fact rather than writing to both.
license: Apache-2.0
user-invocable: true

Skill: Persistent Memory

Purpose: Provide persistent context across NetClaw sessions through structured facts, semantic search, and entity relationships.

Overview

The Memory skill enables NetClaw to remember information about your network across sessions. Instead of re-explaining your topology, device names, and past issues every time, NetClaw builds a memory that grows smarter with each interaction.

Memory vs. the RAG Knowledge Base: Memory (memory_* tools, ~/.openclaw/memory/) holds NetClaw's OWN experience — facts, session summaries, decisions, entity relationships. Document content lives in the separate RAG knowledge base (rag skill, rag_* tools, ~/.openclaw/rag/). "Remember this PDF / URL / standard" routes to rag_ingest, not memory_record_fact; "what does the vendor guide say" routes to rag_search, not memory_recall. Operational facts ("PE2 is in maintenance until Friday"), past-session questions, and decision history stay here. Neither store writes into the other.

Capabilities

1. Structured Fact Storage

Store precise facts about network entities with temporal validity:

Device states, configurations, IP addresses
Maintenance windows, change history
Performance baselines, thresholds

2. Semantic Recall

Search past sessions using natural language:

"What was that BGP issue last month?"
"Show me troubleshooting related to MTU"
"Find sessions about PE2"

3. Decision Logging

Record operational decisions with rationale:

Why a route was changed
Why a device was quarantined
Links to ServiceNow change requests

4. Entity Relationships

Track network topology and dependencies:

PE2 peers_with RR1
Service-X depends_on Device-Y
Impact analysis for changes

Show full SKILL.md (176 more words)Show less

MCP Tools

Tool	Purpose
`memory_record_fact`	Store a fact with temporal validity
`memory_get_facts`	Query current facts for an entity
`memory_invalidate`	Mark a fact as no longer current
`memory_timeline`	Query historical facts
`memory_store_session`	Store session summary for semantic search
`memory_recall`	Semantic search across past sessions
`memory_record_decision`	Log a decision with rationale
`memory_get_decisions`	Query past decisions
`memory_link_entities`	Create relationship between entities
`memory_query_graph`	Query entity relationships

Usage Examples

Record a Fact

memory_record_fact entity="PE2" key="bgp_state" value="established" metadata={"peer": "10.0.0.1"}

Query Facts

memory_get_facts entity="PE2"

Semantic Search

memory_recall query="BGP flapping problem" top_k=5

Record a Decision

memory_record_decision context="PE2 BGP session flapping" decision="Increased hold timer to 180s" rationale="Reduce flap frequency" entities=["PE2", "RR1"] cr_number="CHG0001234"

Link Entities

memory_link_entities subject="PE2" predicate="peers_with" object="RR1"

Data Storage

All memory data persists in ~/.openclaw/memory/:

memory.db - SQLite database (facts, decisions, links)
chroma/ - ChromaDB vector store (session embeddings)

Data is automatically pruned after 1 year.

Integration

With GAIT

All memory write operations log to GAIT for audit trail.

With HEARTBEAT

Memory enables pattern detection in health checks:

"3rd BGP flap on PE2 this week - want me to investigate?"

With SOUL

Memory directly fulfills Principle #9: "Get smarter every session."

Prerequisites

Memory MCP server enabled (./scripts/memory-enable.sh)
~500MB disk space for 1 year of data
First run downloads embedding model (~80MB)

Troubleshooting

Server Won't Start

bash

uvx --from netclaw-memory-mcp memory-mcp-server --help

Check Data Directory

bash

ls -la ~/.openclaw/memory/

Verify Database

bash

sqlite3 ~/.openclaw/memory/memory.db "SELECT COUNT(*) FROM facts;"

Files

Just SKILL.md in workspace/skills/memory of automateyournetwork/netclaw.

Open the folder on GitHubat commit 95bb17e

Compare with similar skills

Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Memory this skillautomateyournetwork/netclaw	675	—	~1.2k	Automated safety check: Pass	Apache-2.0	2 days ago
MemPalace MemoryMemPalace/mempalace	59k	—	~2.7k	Automated safety check: Pass	MIT	today
Cortexdb Memory Hermesliliang-cn/cortexdb	274	—	~1.7k	Automated safety check: Pass	MIT	yesterday
Fireworks Tech Graphninehills/skills	281	3 repos	~8k	Automated safety check: Pass	MIT	3 mo ago
Cortexdb Memory Openclawliliang-cn/cortexdb	274	—	~1.6k	Automated safety check: Pass	MIT	yesterday
Cognee Session Memory and Improvetopoteretes/cognee	32k	—	~3.2k	Automated safety check: Pass	Apache-2.0	today

Similar skills

MemPalace Memory
MemPalace/mempalace
Gives an agent a local memory palace over MCP: verbatim conversation memory, semantic search and a temporal knowledge graph, with a per-session recall protocol.
59k GitHub stars~2.7k tokensUpdated today
Knowledge ManagementAuto-check passed
Cortexdb Memory Hermes
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Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client…
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Knowledge ManagementAuto-check passed
Fireworks Tech Graph
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A skill your agent uses when the user wants to create any technical diagram - architecture, data flow, flowchart, sequence, agent/memory, or concept map - and export as SVG+PNG.
281 GitHub starsUsed in 3 repos~8k tokens
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Cortexdb Memory Openclaw
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Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package.
274 GitHub stars~1.6k tokensUpdated yesterday
Knowledge ManagementAuto-check passed
Cognee Session Memory and Improve
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Explains how cognee stores session memory by session_id and bridges it into the permanent graph with improve(), including the stages, results and settings.
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Agent WorkflowsAuto-check passed
Git Notes Memory
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Questions about Memory

What does Memory do?

When should I use Memory?

Memory fits situations like: recalling operational facts; entity relationships across sessions.

How do I install Memory in Claude Code?

Run `npx skills add automateyournetwork/netclaw --skill memory -a claude-code`. Or copy the skill folder (workspace/skills/memory in automateyournetwork/netclaw) into .claude/skills/memory in your project. Claude Code loads it when a task matches its description.

How do I install Memory in Codex?

Run `npx skills add automateyournetwork/netclaw --skill memory -a codex`. Or copy the skill folder (workspace/skills/memory in automateyournetwork/netclaw) into .agents/skills/memory in your project. Codex loads it when a task matches its description.

Can I use Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory, .gemini/skills/memory, .github/skills/memory and .opencode/skills/memory in your project.

What does Memory need to run?

Going by SKILL.md and its folder, Memory needs the command-line tools its instructions call (uvx and sqlite3).

Does Memory access the network?

SKILL.md contains no URLs. Its commands use uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Memory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory use?

Memory is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory?

Skills that share tags, products or a category with Memory: MemPalace Memory (MemPalace/mempalace, 59k stars), Cortexdb Memory Hermes (liliang-cn/cortexdb, 274 stars), Fireworks Tech Graph (ninehills/skills, 281 stars) and Cortexdb Memory Openclaw (liliang-cn/cortexdb, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory?

automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 675 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 5, 2026.

Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Memory

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Skill: Persistent Memory

Overview

Capabilities

1. Structured Fact Storage

2. Semantic Recall

3. Decision Logging

4. Entity Relationships

MCP Tools

Usage Examples

Record a Fact

Query Facts

Semantic Search

Record a Decision

Link Entities

Data Storage

Integration

With GAIT

With HEARTBEAT

With SOUL

Prerequisites

Troubleshooting

Server Won't Start

Check Data Directory

Verify Database

Files

Compare with similar skills

Similar skills

More from automateyournetwork/netclaw

Related

Questions about Memory