Xpersona

Crawler Summary

llm-agent answer-first brief

Multi-agent LLM system for desktop automation - local-first with CrewAI, Ollama, and web UI LLM Agent 🧠 Multi-agent LLM system for desktop automation. Local-first with CrewAI orchestration and Ollama inference. Agents coordinate across research, execution, and system tool tasks — no cloud required. --- 1. Features - **Multi-Agent Orchestration** — CrewAI coordinates specialized agents: research, analytics, and operations - **Local LLM Inference** — Runs with Ollama — private, offline-capable, no API keys - Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

llm-agent is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

llm-agent

Multi-agent LLM system for desktop automation - local-first with CrewAI, Ollama, and web UI LLM Agent 🧠 Multi-agent LLM system for desktop automation. Local-first with CrewAI orchestration and Ollama inference. Agents coordinate across research, execution, and system tool tasks — no cloud required. --- 1. Features - **Multi-Agent Orchestration** — CrewAI coordinates specialized agents: research, analytics, and operations - **Local LLM Inference** — Runs with Ollama — private, offline-capable, no API keys -

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Jayswebdev

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Unpublished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 10/9/2026.

View Source

Setup snapshot

  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

Jayswebdev

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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 REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

curl -fsSL https://ollama.com/install.sh | sh

bash

# Install Ollama (https://ollama.com)
curl -fsSL https://ollama.com/install.sh | sh

# Pull a model — llama3 is a good starting point
ollama pull llama3

bash

git clone https://github.com/JaysWebDev/llm-agent.git
cd llm-agent

# Or use the install script
bash install.sh

bash

# Manual setup
python3 -m venv venv
source venv/bin/activate     # Linux/Mac
# venv\Scripts\activate      # Windows

pip install -r requirements.txt
python app.py

text

llm-agent/
├── app.py            # Flask web server and API routes
├── main.py           # Application entry point
├── orchestrator.py   # Multi-agent task orchestration (CrewAI)
├── llm.py            # Ollama integration layer
├── system_tools.py   # System tools (files, processes, hardware)
├── index.html        # Frontend UI
├── main.js           # Frontend JavaScript
├── style.css         # Styling
├── install.sh        # One-shot setup script
└── requirements.txt

python

MODEL = "llama3"  # swap for any ollama model you've pulled

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Multi-agent LLM system for desktop automation - local-first with CrewAI, Ollama, and web UI LLM Agent 🧠 Multi-agent LLM system for desktop automation. Local-first with CrewAI orchestration and Ollama inference. Agents coordinate across research, execution, and system tool tasks — no cloud required. --- 1. Features - **Multi-Agent Orchestration** — CrewAI coordinates specialized agents: research, analytics, and operations - **Local LLM Inference** — Runs with Ollama — private, offline-capable, no API keys -

Full README

LLM Agent 🧠

Multi-agent LLM system for desktop automation. Local-first with CrewAI orchestration and Ollama inference. Agents coordinate across research, execution, and system tool tasks — no cloud required.

1. Features

  • Multi-Agent Orchestration — CrewAI coordinates specialized agents: research, analytics, and operations
  • Local LLM Inference — Runs with Ollama — private, offline-capable, no API keys
  • System Tools — File operations, hardware monitoring, process management via psutil
  • Browser-Based Interface — Clean web UI for task input and agent interaction
  • Role-Based Agents — Each agent has a defined role, goal, and set of allowed tools

2. Tech Stack

| Layer | Stack | |-------|-------| | Backend | Python, Flask, CrewAI, LangChain | | Inference | Ollama (local) | | Frontend | HTML, CSS, JavaScript (Bootstrap) | | System | psutil, subprocess |

3. Quick Start 🚀

Step 1 — Install Ollama and pull a model

# Install Ollama (https://ollama.com)
curl -fsSL https://ollama.com/install.sh | sh

# Pull a model — llama3 is a good starting point
ollama pull llama3

Step 2 — Clone and run

git clone https://github.com/JaysWebDev/llm-agent.git
cd llm-agent

# Or use the install script
bash install.sh

# Manual setup
python3 -m venv venv
source venv/bin/activate     # Linux/Mac
# venv\Scripts\activate      # Windows

pip install -r requirements.txt
python app.py

Open http://localhost:5000 in your browser.

4. Project Structure

llm-agent/
├── app.py            # Flask web server and API routes
├── main.py           # Application entry point
├── orchestrator.py   # Multi-agent task orchestration (CrewAI)
├── llm.py            # Ollama integration layer
├── system_tools.py   # System tools (files, processes, hardware)
├── index.html        # Frontend UI
├── main.js           # Frontend JavaScript
├── style.css         # Styling
├── install.sh        # One-shot setup script
└── requirements.txt

5. Agent Roles 🤖

| Agent | Role | Tools | |-------|------|-------| | Researcher | Web search and summarization | search, scrape | | Analyst | Data analysis and reporting | file read, calculation | | Operator | System task execution | shell, file write, process management |

6. Supported Models

Tested with Ollama models:

  • llama3 — recommended for general use
  • mistral — good for structured output
  • codellama — optimized for code tasks

Change the model in llm.py:

MODEL = "llama3"  # swap for any ollama model you've pulled

7. Troubleshooting 🔧

Ollama not responding

# Check if Ollama is running
ollama list
# Start it manually if needed
ollama serve

Port conflict on 5000

# Run on a different port
PORT=8080 python app.py

Model too slow on CPU Try a smaller model: ollama pull tinyllama — much faster, less capable.

Part of the JaysWebDev toolchain.

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/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 ReposUpdated 5h agoRank 70

AionUi

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!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

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

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
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/crewai-jayswebdev-llm-agent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T23:49:08.362Z"
    }
  },
  "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"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Jayswebdev",
    "href": "https://github.com/JaysWebDev/llm-agent",
    "sourceUrl": "https://github.com/JaysWebDev/llm-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:19:41.659Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:19:41.659Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jayswebdev-llm-agent/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
  }
]

Sponsored

Ads related to llm-agent and adjacent AI workflows.