Crawler Summary

openclaw-mem0-skill answer-first brief

OpenClaw Mem0 Skill OpenClaw Mem0 Skill Add long-term memory to OpenClaw agents with the @mem0/openclaw-mem0 plugin. Your agents forget everything between sessions — this fixes that. Overview The Mem0 plugin provides: - **Auto-Recall** — Before responding, relevant memories are injected into context - **Auto-Capture** — After responding, important exchanges are stored automatically - **Agent Tools** — Five tools for explicit memory oper Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

openclaw-mem0-skill is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

openclaw-mem0-skill

OpenClaw Mem0 Skill OpenClaw Mem0 Skill Add long-term memory to OpenClaw agents with the @mem0/openclaw-mem0 plugin. Your agents forget everything between sessions — this fixes that. Overview The Mem0 plugin provides: - **Auto-Recall** — Before responding, relevant memories are injected into context - **Auto-Capture** — After responding, important exchanges are stored automatically - **Agent Tools** — Five tools for explicit memory oper

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Mind Expansion Industries

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/Mind-Expansion-Industries/openclaw-mem0-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Mind Expansion Industries

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

openclaw plugins install @mem0/openclaw-mem0

json

{
  "plugins": {
    "entries": {
      "openclaw-mem0": {
        "enabled": true,
        "config": {
          "apiKey": "${MEM0_API_KEY}",
          "userId": "your-user-id"
        }
      }
    }
  }
}

bash

export MEM0_API_KEY="your-key-here"

json

{
  "openclaw-mem0": {
    "enabled": true,
    "config": {
      "mode": "open-source",
      "userId": "your-user-id"
    }
  }
}

json

{
  "config": {
    "mode": "open-source",
    "userId": "your-user-id",
    "oss": {
      "embedder": {
        "provider": "openai",
        "config": { "model": "text-embedding-3-small" }
      },
      "vectorStore": {
        "provider": "qdrant",
        "config": { "host": "localhost", "port": 6333 }
      },
      "llm": {
        "provider": "openai",
        "config": { "model": "gpt-4o" }
      }
    }
  }
}

bash

# Search all memories
openclaw mem0 search "what languages does the user know"

# Search only long-term
openclaw mem0 search "what languages" --scope long-term

# Search only session
openclaw mem0 search "what did we just discuss" --scope session

# View stats
openclaw mem0 stats

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

OpenClaw Mem0 Skill OpenClaw Mem0 Skill Add long-term memory to OpenClaw agents with the @mem0/openclaw-mem0 plugin. Your agents forget everything between sessions — this fixes that. Overview The Mem0 plugin provides: - **Auto-Recall** — Before responding, relevant memories are injected into context - **Auto-Capture** — After responding, important exchanges are stored automatically - **Agent Tools** — Five tools for explicit memory oper

Full README

OpenClaw Mem0 Skill

Add long-term memory to OpenClaw agents with the @mem0/openclaw-mem0 plugin. Your agents forget everything between sessions — this fixes that.

Overview

The Mem0 plugin provides:

  • Auto-Recall — Before responding, relevant memories are injected into context
  • Auto-Capture — After responding, important exchanges are stored automatically
  • Agent Tools — Five tools for explicit memory operations
  • Dual Scope — Session (short-term) and User (long-term) memory

Installation

openclaw plugins install @mem0/openclaw-mem0

Restart OpenClaw after installation.

Quick Setup

Option 1: Mem0 Cloud (Recommended)

  1. Get API key from app.mem0.ai
  2. Add to openclaw.json:
{
  "plugins": {
    "entries": {
      "openclaw-mem0": {
        "enabled": true,
        "config": {
          "apiKey": "${MEM0_API_KEY}",
          "userId": "your-user-id"
        }
      }
    }
  }
}
  1. Set environment variable:
export MEM0_API_KEY="your-key-here"

Option 2: Self-Hosted (Open Source)

No Mem0 key needed. Requires OPENAI_API_KEY for embeddings/LLM.

{
  "openclaw-mem0": {
    "enabled": true,
    "config": {
      "mode": "open-source",
      "userId": "your-user-id"
    }
  }
}

Self-Hosted with Custom Components

{
  "config": {
    "mode": "open-source",
    "userId": "your-user-id",
    "oss": {
      "embedder": {
        "provider": "openai",
        "config": { "model": "text-embedding-3-small" }
      },
      "vectorStore": {
        "provider": "qdrant",
        "config": { "host": "localhost", "port": 6333 }
      },
      "llm": {
        "provider": "openai",
        "config": { "model": "gpt-4o" }
      }
    }
  }
}

Memory Scopes

Session (Short-Term)

  • Scoped to current conversation
  • Auto-captured via run_id parameter
  • Contextual to ongoing chat

User (Long-Term)

  • Persists across all sessions
  • Explicitly stored with longTerm: true
  • Shared for user across all conversations

Auto-recall searches both scopes — long-term first, then session.

Agent Tools

| Tool | Description | |------|-------------| | memory_search | Search memories by natural language | | memory_list | List all stored memories | | memory_store | Explicitly save a fact | | memory_get | Retrieve memory by ID | | memory_forget | Delete by ID or query |

Tool Parameters

memory_search / memory_list

  • scope: "session", "long-term", or "all"

memory_store

  • longTerm: true (default) or false

CLI Commands

# Search all memories
openclaw mem0 search "what languages does the user know"

# Search only long-term
openclaw mem0 search "what languages" --scope long-term

# Search only session
openclaw mem0 search "what did we just discuss" --scope session

# View stats
openclaw mem0 stats

Migration from File-Based Memory

Transfer existing memories to Mem0:

# Example: Store key project info
openclaw mem0 store "MindBots Vision: AI digital agency with 15+ agents"
openclaw mem0 store "User prefers direct communication, hates corporate"
openclaw mem0 store "Target market: Music festivals, rave scene"

Or use agent tools during conversation:

"Store that Mind prefers Telegram for urgent updates"
→ Agent calls memory_store with longTerm: true

Troubleshooting

"Invalid API key"

Memories not recalling

  • Check plugin is enabled in openclaw.json
  • Verify userId matches between sessions
  • Check openclaw mem0 stats for stored memories

Self-hosted connection errors

  • Verify Qdrant/vector DB is running
  • Check Docker container status
  • Ensure ports are accessible

Cloud vs Self-Hosted

| Feature | Cloud | Self-Hosted | |---------|-------|-------------| | Setup | 2 minutes | 15-30 minutes | | Data control | Mem0 servers | Your servers | | Cost | Free tier, then paid | Free (infrastructure only) | | Maintenance | None | You manage | | Scaling | Automatic | Manual |

Recommendation: Start with Cloud. Migrate to self-hosted if you hit limits or need full data control.

Environment Variables

# Cloud mode
export MEM0_API_KEY="your-key"

# Self-hosted mode
export OPENAI_API_KEY="your-key"  # For embeddings/LLM

# Optional: Custom user ID
export MEM0_USER_ID="mind-main"

Best Practices

  1. Use descriptive memories — "User prefers X" not "X"
  2. Store key facts explicitly — Don't rely only on auto-capture
  3. Scope appropriately — Session for temporary, long-term for permanent
  4. Organize by user — Different userId for different people
  5. Regular cleanup — Use memory_forget to remove outdated info

Example Workflows

Onboarding New User

1. User introduces themselves
2. Auto-capture stores preferences
3. Explicitly store: "User is Mind, CEO of MindBots"
4. Future sessions auto-recall this context

Project Context

1. Discuss new project (MIRRAGE, ACE-Step, etc.)
2. Store: "MIRRAGE status: built, needs RunPod deployment"
3. Later: "What's MIRRAGE status?" → Auto-recalls context

Multi-Session Task

Session 1: "Working on Modal deploy skill"
Session 2: (Auto-recall) "Continuing Modal deploy skill work"

Resources

License

MIT — Same as OpenClaw

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:27:01.406Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mind Expansion Industries",
    "href": "https://github.com/Mind-Expansion-Industries/openclaw-mem0-skill",
    "sourceUrl": "https://github.com/Mind-Expansion-Industries/openclaw-mem0-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:41.092Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:41.092Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/Mind-Expansion-Industries/openclaw-mem0-skill",
    "sourceUrl": "https://github.com/Mind-Expansion-Industries/openclaw-mem0-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:41.092Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mind-expansion-industries-openclaw-mem0-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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