skills$openclaw/memdata
thelabvenice8.8k

by thelabvenice

memdata – OpenClaw Skill

memdata is an OpenClaw Skills integration for writing workflows. Persistent memory for autonomous agents. Wallet = identity. Pay per query. Optional encrypted storage.

8.8k stars8.5k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026writing

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namememdata
descriptionPersistent memory for autonomous agents. Wallet = identity. Pay per query. Optional encrypted storage. OpenClaw Skills integration.
ownerthelabvenice
repositorythelabvenice/memdata
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @thelabvenice/memdata
last updatedFeb 7, 2026

Maintainer

thelabvenice

thelabvenice

Maintains memdata in the OpenClaw Skills directory.

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SKILL.md

name: memdata version: 1.8.0 description: Persistent memory for autonomous agents. Wallet = identity. Pay per query. Optional encrypted storage. author: The Lab Venice homepage: https://memdata.ai license: MIT

MemData

Persistent memory for autonomous agents. Your wallet is your identity.

Core Concept

Your wallet address IS your identity. First payment auto-creates your account. Same wallet = same memories across all sessions.

No registration. No API keys. Just pay and use.

Session Flow

1. GET /identity          # Start session - get context from last session
2. POST /ingest           # Store new memories
3. POST /query            # Search your memories
4. POST /identity         # End session - save handoff for next time

Authentication

x402 payment protocol. USDC on Base (eip155:8453).

Every endpoint (except /status):

  1. Returns 402 with payment requirements
  2. You sign payment with wallet
  3. Retry with x-payment header
  4. Request succeeds

Pricing

EndpointCost
/query$0.001
/ingest$0.005
/identity$0.001
/artifacts$0.001
/setup-encryption$0.001
/statusFree

Encrypted Storage (Optional)

If you need privacy (competitive data, sensitive memories):

ModeSetupStorageCan MemData Read?
StandardNonePostgresYes
EncryptedOne-time delegationStoracha (IPFS)No

Enable encryption:

GET /setup-encryption     # Get serverDID
POST /setup-encryption    # Send signed UCAN delegation
# All future ingest/query now encrypted

Encrypted storage uses Lit Protocol (threshold cryptography) + Storacha (IPFS/Filecoin).


Endpoints

Base: https://memdata.ai/api/x402


GET /identity

Call this at the start of every session. Returns your identity, what you were working on, last session handoff, and memory stats.

Response:

{
  "identity": {
    "agent_name": "Agent 0x1234...",
    "identity_summary": "I analyze DeFi protocols",
    "session_count": 12
  },
  "last_session": {
    "summary": "Analyzed 3 yield farms",
    "context": {"protocols_reviewed": ["Aave", "Compound", "Uniswap"]}
  },
  "working_on": "Compare APY across protocols",
  "memory_stats": {
    "total_memories": 150,
    "oldest_memory": "2026-01-15T...",
    "newest_memory": "2026-02-03T..."
  }
}

POST /identity

Update your identity or save session handoff before ending.

Update identity:

{
  "agent_name": "YieldBot",
  "identity_summary": "I analyze DeFi yield opportunities",
  "working_on": "monitoring Aave rates"
}

Save session handoff (before ending):

{
  "session_handoff": {
    "summary": "Completed yield analysis for Q1",
    "context": {"best_yield": "Aave USDC 4.2%"}
  },
  "working_on": "start Q2 analysis next"
}

POST /ingest

Store content in memory. Auto-chunks and embeds.

Request:

{
  "content": "Aave USDC yield is 4.2% APY as of Feb 3. Compound is 3.8%.",
  "sourceName": "yield-analysis-2026-02-03",
  "type": "note"
}

Response:

{
  "success": true,
  "artifact_id": "e8fc3e63-...",
  "chunks_created": 1,
  "encrypted": false
}

POST /query

Semantic search across your memories.

Request:

{
  "query": "what are the best DeFi yields?",
  "limit": 5,
  "threshold": 0.3
}

Response:

{
  "success": true,
  "results": [
    {
      "chunk_id": "uuid",
      "chunk_text": "Aave USDC yield is 4.2% APY...",
      "source_name": "yield-analysis-2026-02-03",
      "similarity_score": 0.72,
      "created_at": "2026-02-03T..."
    }
  ],
  "encrypted": false,
  "memory": {
    "grounding": "historical_baseline",
    "depth_days": 19,
    "data_points": 150
  }
}

Optional filters: since, until (ISO dates)


GET /setup-encryption

Check encryption status. Returns info needed to create UCAN delegation.

Response:

{
  "encryption": {
    "enabled": false,
    "serverDID": "did:key:z6Mkr...",
    "spaceDID": "did:key:z6Mkt..."
  }
}

POST /setup-encryption

Enable encrypted storage. One-time setup.

Request:

{
  "delegationCar": "base64-encoded UCAN delegation"
}

After this, all /ingest encrypts via Lit Protocol and stores on Storacha. All /query decrypts before returning. Response encrypted field becomes true.


GET /artifacts

List stored memories.

Response:

{
  "artifacts": [
    {
      "id": "uuid",
      "source_name": "yield-analysis-2026-02-03",
      "chunk_count": 1,
      "created_at": "2026-02-03T..."
    }
  ],
  "total": 25
}

DELETE /artifacts/:id

Delete a memory and all its chunks.


GET /status

Health check and pricing. Free, no payment required.


Query responses include memory.grounding:

ValueMeaning
historical_baseline100+ data points, trends meaningful
snapshot<100 data points, point-in-time only
insufficient_dataNo memories found

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 memdata?

Run openclaw add @thelabvenice/memdata in your terminal. This installs memdata 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/thelabvenice/memdata. Review commits and README documentation before installing.