Xpersona

Crawler Summary

simplemem answer-first brief

Local memory storage with Ollama semantic search for persistent agent memory --- name: simplemem description: Local memory storage with Ollama semantic search for persistent agent memory metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": ["mcporter"] }, }, } --- SimpleMem Skill A skill for interacting with SimpleMem, a local memory storage system that uses Ollama for semantic search and dialogue compression. Overview SimpleMem is a self-hosted MCP server that provides long-term me Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

simplemem is best for general automation workflows where MCP and 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

simplemem

Local memory storage with Ollama semantic search for persistent agent memory --- name: simplemem description: Local memory storage with Ollama semantic search for persistent agent memory metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": ["mcporter"] }, }, } --- SimpleMem Skill A skill for interacting with SimpleMem, a local memory storage system that uses Ollama for semantic search and dialogue compression. Overview SimpleMem is a self-hosted MCP server that provides long-term me

MCPself-declared
OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP, OpenClaw

Freshness

Feb 25, 2026

Vendor

Omni Nexusai

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Unpublished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. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/Omni-NexusAI/openclaw-simplemem.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

Omni Nexusai

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP, OpenClaw

contractmedium
Observed Feb 25, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

curl -X POST http://127.0.0.1:8001/api/auth/register -H "Content-Type: application/json" -d '{"openrouter_api_key": "local-ollama-user"}'

bash

curl -X POST http://127.0.0.1:8001/api/auth/register -H "Content-Type: application/json" -d '{"openrouter_api_key": "local-ollama-user"}'

bash

mcporter config add simplemem --url http://127.0.0.1:8001/mcp --header Authorization="Bearer YOUR_TOKEN_HERE"

text

memory_add(speaker: "Daniel", content: "Setting up SimpleMem with Ollama for local memory storage")

text

memory_add_batch(dialogues: ["First dialogue", "Second dialogue", "Third dialogue"])

text

memory_query(question: "What is Daniel setting up?")

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Local memory storage with Ollama semantic search for persistent agent memory --- name: simplemem description: Local memory storage with Ollama semantic search for persistent agent memory metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": ["mcporter"] }, }, } --- SimpleMem Skill A skill for interacting with SimpleMem, a local memory storage system that uses Ollama for semantic search and dialogue compression. Overview SimpleMem is a self-hosted MCP server that provides long-term me

Full README

name: simplemem description: Local memory storage with Ollama semantic search for persistent agent memory metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": ["mcporter"] }, }, }

SimpleMem Skill

A skill for interacting with SimpleMem, a local memory storage system that uses Ollama for semantic search and dialogue compression.

Overview

SimpleMem is a self-hosted MCP server that provides long-term memory storage for OpenClaw agents. It uses:

  • Ollama for local LLM inference (qwen3:4b)
  • qwen3-embedding:4B for semantic embeddings
  • Local storage (no cloud dependencies)

Setup

Prerequisites

  • SimpleMem cloned to C:\Users\yepyy\.openclaw\SimpleMem
  • Ollama running with qwen3:4b and qwen3-embedding:4B models
  • MCP server started: python run.py --port 8001 in C:\Users\yepyy\.openclaw\SimpleMem\MCP

Configuration

  1. Register user and get token via: 
    curl -X POST http://127.0.0.1:8001/api/auth/register -H "Content-Type: application/json" -d '{"openrouter_api_key": "local-ollama-user"}'
  2. Add to mcporter config: 
    mcporter config add simplemem --url http://127.0.0.1:8001/mcp --header Authorization="Bearer YOUR_TOKEN_HERE"

Functions

memory_add(speaker, content, timestamp?)

Store a dialogue in SimpleMem memory.

Parameters:

  • speaker: Name of the speaker (used for coreference resolution)
  • content: Content of the dialogue (pronouns will be resolved)
  • timestamp?: ISO 8601 timestamp (defaults to now)

Example:

memory_add(speaker: "Daniel", content: "Setting up SimpleMem with Ollama for local memory storage")

memory_add_batch(dialogues)

Store multiple dialogues at once.

Parameters:

  • dialogues: Array of dialogue strings

Example:

memory_add_batch(dialogues: ["First dialogue", "Second dialogue", "Third dialogue"])

memory_query(question, enable_reflection?)

Query SimpleMem and get an AI-generated answer.

Parameters:

  • question: Natural language question
  • enable_reflection?: Enable iterative refinement for complex queries (default: true)

Example:

memory_query(question: "What is Daniel setting up?")

memory_retrieve(query, top_k?)

Retrieve raw memory entries without generating an answer.

Parameters:

  • query: Search query (semantic + keyword matching)
  • top_k?: Maximum number of entries to return (default: 10)

Example:

memory_retrieve(query: "SimpleMem setup", top_k: 5)

memory_clear()

Clear ALL memories for this user. This action CANNOT be undone.

Example:

memory_clear()

memory_stats()

Get statistics about the memory store.

Example:

memory_stats()

Usage

From Other Skills

import { memory_add, memory_query } from '@simplemem';

// Store a memory
memory_add(speaker: "Agent", content: "Completed task XYZ");

// Query memories
const result = memory_query(question: "What did Agent do today?");

From Main Session

# Add memory
mcporter call "simplemem.memory_add(speaker: 'Daniel', content: '...' )"

# Query memory
mcporter call "simplemem.memory_query(question: '...')"

Technical Details

Models Used

  • Chat Model: qwen3:4b (2.5GB) - for dialogue compression and query generation
  • Embedding Model: qwen3-embedding:4B (2.5GB) - for semantic search
  • Total VRAM: ~5GB (fits in 8GB GPU with headroom)

Data Storage

  • Vector Database: LanceDB for semantic embeddings
  • Metadata: SQLite database for structured data
  • Location: C:\Users\yepyy\.openclaw\SimpleMem\data

API Endpoints

  • Server: http://127.0.0.1:8001
  • MCP: /mcp
  • Auth: /api/auth/register

Troubleshooting

Server Not Running

cd C:\Users\yepyy\.openclaw\SimpleMem\MCP
python run.py --port 8001

Models Not Found

ollama list
# Should show: qwen3:4b and qwen3-embedding:4B

Connection Issues

  • Check server is running on port 8001
  • Verify token is correct in mcporter config
  • Ensure firewall allows localhost connections

Examples

Store Meeting Notes

memory_add(speaker: "Daniel", content: "Met with Bob at Starbucks yesterday at 2pm to discuss project timeline")

Query Recent Events

memory_query(question: "What meetings did I have last week?")

Search by Topic

memory_retrieve(query: "project timeline", top_k: 3)

Development

Adding New Functions

  1. Update the MCP server code in C:\Users\yepyy\.openclaw\SimpleMem\MCP
  2. Restart the server
  3. Update this skill file with new function documentation

Performance Tips

  • Use memory_add_batch for importing conversation history
  • Disable enable_reflection for simple factual lookups
  • Use memory_retrieve when you need raw data instead of generated answers

License

SimpleMem is open source. This skill is provided as-is for OpenClaw integration.

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declaredOpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/contract"
curl -s "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/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.

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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://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP",
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:27:13.104Z"
    }
  },
  "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": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile 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": "Omni Nexusai",
    "href": "https://github.com/Omni-NexusAI/openclaw-simplemem",
    "sourceUrl": "https://github.com/Omni-NexusAI/openclaw-simplemem",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:47:17.092Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP, OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:47:17.092Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/omni-nexusai-openclaw-simplemem/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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