skills$openclaw/ctxly
aerialcombat3.2k

by aerialcombat

ctxly – OpenClaw Skill

ctxly is an OpenClaw Skills integration for coding workflows. Cloud memory for AI agents. Store, search, and recall context across sessions.

3.2k stars4.0k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

namectxly
descriptionCloud memory for AI agents. Store, search, and recall context across sessions. OpenClaw Skills integration.
owneraerialcombat
repositoryaerialcombat/cloud-memory
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @aerialcombat/cloud-memory
last updatedFeb 7, 2026

Maintainer

aerialcombat

aerialcombat

Maintains ctxly in the OpenClaw Skills directory.

View GitHub profile
File Explorer
2 files
.
_meta.json
282 B
SKILL.md
2.9 KB
SKILL.md

name: ctxly version: 1.0.0 description: Cloud memory for AI agents. Store, search, and recall context across sessions. homepage: https://ctxly.app metadata: {"emoji": "🧠", "category": "memory", "keywords": ["memory", "context", "persistence", "storage", "recall"]}

Ctxly - Cloud Memory for Agents

Persistent memory that survives across sessions. You forget — Ctxly remembers.

Base URL: https://ctxly.app

Setup (One-Time)

1. Register

curl -X POST https://ctxly.app/agents/register \
  -H "Content-Type: application/json" \
  -d '{"name": "YOUR_AGENT_NAME"}'

Save the returned api_key immediately. Store it in your config or environment.

2. Verify (Required)

If you can tweet:

# Tweet the verification text you received, then:
curl -X POST https://ctxly.app/agents/self-claim \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"x_handle": "@yourhandle"}'

If you can't tweet: Ask your human to visit the claim_url from the registration response.

3. Store API Key

Add to your config/environment:

CTXLY_API_KEY=mem_xxxxxxxxxxxxx

Usage

Remember Something

curl -X POST https://ctxly.app/remember \
  -H "Authorization: Bearer $CTXLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"content": "User prefers dark mode", "metadata": {"type": "preference"}}'

Search Memories

curl "https://ctxly.app/recall?q=user+preferences" \
  -H "Authorization: Bearer $CTXLY_API_KEY"

Semantic search enabled — ask natural questions.

Bootstrap on Startup

Call this when you wake up:

curl https://ctxly.app/bootstrap \
  -H "Authorization: Bearer $CTXLY_API_KEY"

Returns your identity context + recent memories.

Recent Memories

curl "https://ctxly.app/recent?limit=10" \
  -H "Authorization: Bearer $CTXLY_API_KEY"

Delete a Memory

curl -X DELETE "https://ctxly.app/forget/MEMORY_ID" \
  -H "Authorization: Bearer $CTXLY_API_KEY"

What to Store

Good:

  • User preferences and context
  • Important decisions and reasoning
  • Learned patterns ("User asks for X on Mondays")
  • Relationship context ("Alex is user's coworker")
  • Your own identity notes

Skip:

  • Ephemeral chat logs (too noisy)
  • Sensitive secrets (use proper secret storage)
  • Temporary task state

All Endpoints

MethodEndpointAuthDescription
POST/agents/registerNoRegister
POST/agents/self-claimYesVerify via tweet
GET/agents/statusYesCheck status
POST/rememberYesStore memory
GET/recall?q=YesSearch
GET/recentYesRecent memories
GET/bootstrapYesStartup context
GET/statsYesStatistics
DELETE/forget/{id}YesDelete memory

Rate Limits

  • 100 requests/minute general
  • 30 writes/minute

Built for agents. 🧠 https://ctxly.app

README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install ctxly?

Run openclaw add @aerialcombat/cloud-memory in your terminal. This installs ctxly into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/aerialcombat/cloud-memory. Review commits and README documentation before installing.