Xpersona

Crawler Summary

Multimodal-CrewAi answer-first brief

This project demonstrates that building reliable AI systems is not just about choosing the right model, but about designing the right architecture. By separating reasoning, execution, and validation using CrewAI, MCP, and local models, we move from black-box AI to transparent, grounded, and controllable systems. 🚀 Multimodal AI Agent System (CrewAI + MCP + Ollama) This project demonstrates a **production-style multimodal AI system** that processes **audio and image inputs**, validates them, and generates a **grounded, structured output** using local models. --- 🧠 Overview This system showcases: - Multimodal understanding (Audio + Image) - Agent-based orchestration (CrewAI) - Tool execution via MCP - Local-first AI (Ollama Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Multimodal-CrewAi 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

Multimodal-CrewAi

This project demonstrates that building reliable AI systems is not just about choosing the right model, but about designing the right architecture. By separating reasoning, execution, and validation using CrewAI, MCP, and local models, we move from black-box AI to transparent, grounded, and controllable systems. 🚀 Multimodal AI Agent System (CrewAI + MCP + Ollama) This project demonstrates a **production-style multimodal AI system** that processes **audio and image inputs**, validates them, and generates a **grounded, structured output** using local models. --- 🧠 Overview This system showcases: - Multimodal understanding (Audio + Image) - Agent-based orchestration (CrewAI) - Tool execution via MCP - Local-first AI (Ollama

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

Dipankarbhowmik

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Unpublished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

Dipankarbhowmik

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

text

multimodal_agent/
├── main.py
├── agents.py
├── tasks.py
├── tools.py
├── mcp_server.py
├── mcp_client.py
├── inputs/
│   ├── earth.jpg
│   └── moon.wav
└── README.md

text

conda activate crewmcp2

text

ollama run phi3

text

uvicorn mcp_server:app --port 9000 --reload

text

python main.py

text

{
  "answer": "...",
  "audio_transcript": "...",
  "image_description": "...",
  "confidence": 0.9,
  "evidence": [...],
  "uncertainty": "low"
}

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

This project demonstrates that building reliable AI systems is not just about choosing the right model, but about designing the right architecture. By separating reasoning, execution, and validation using CrewAI, MCP, and local models, we move from black-box AI to transparent, grounded, and controllable systems. 🚀 Multimodal AI Agent System (CrewAI + MCP + Ollama) This project demonstrates a **production-style multimodal AI system** that processes **audio and image inputs**, validates them, and generates a **grounded, structured output** using local models. --- 🧠 Overview This system showcases: - Multimodal understanding (Audio + Image) - Agent-based orchestration (CrewAI) - Tool execution via MCP - Local-first AI (Ollama

Full README

🚀 Multimodal AI Agent System (CrewAI + MCP + Ollama)

This project demonstrates a production-style multimodal AI system that processes audio and image inputs, validates them, and generates a grounded, structured output using local models.

🧠 Overview

This system showcases:

  • Multimodal understanding (Audio + Image)
  • Agent-based orchestration (CrewAI)
  • Tool execution via MCP
  • Local-first AI (Ollama + Whisper, no API keys)
  • Grounded reasoning with validation

🏗️ Architecture

User Inputs (Audio + Image)
↓
CrewAI Agents (Reasoning Layer)
↓
MCP Server (Execution Layer)
↓
Tools (Whisper, Moondream, Validation)
↓
Final Structured Output

⚙️ Tech Stack

  • CrewAI
  • MCP (FastAPI)
  • Ollama (phi3, moondream)
  • Whisper
  • Python

📁 Project Structure

multimodal_agent/
├── main.py
├── agents.py
├── tasks.py
├── tools.py
├── mcp_server.py
├── mcp_client.py
├── inputs/
│   ├── earth.jpg
│   └── moon.wav
└── README.md

▶️ How to Run

1. Activate environment

conda activate crewmcp2

2. Start Ollama

ollama run phi3

3. Start MCP Server

uvicorn mcp_server:app --port 9000 --reload

4. Run project

python main.py

📤 Output

{
  "answer": "...",
  "audio_transcript": "...",
  "image_description": "...",
  "confidence": 0.9,
  "evidence": [...],
  "uncertainty": "low"
}

🔍 Key Features

  • Multimodal processing
  • Agent-based workflow
  • MCP execution layer
  • Grounded AI outputs

⚠️ Requirements

  • Python 3.10+
  • FFmpeg
  • Ollama installed

✍️ Medium Blog

Read the full blog here:
https://medium.com/@your-username/multimodal-ai-agents-crewai-mcp-ollama

🚀 Future Work

  • Video understanding
  • Streaming
  • API deployment
  • UI integration

📜 License

MIT License

🔥 Final Thought

The future of AI isn’t just smarter models—it’s better systems.

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-dipankarbhowmik-multimodal-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/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.

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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/crewai-dipankarbhowmik-multimodal-crewai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T23:50:43.843Z"
    }
  },
  "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": "Dipankarbhowmik",
    "href": "https://github.com/DipankarBhowmik/Multimodal-CrewAi",
    "sourceUrl": "https://github.com/DipankarBhowmik/Multimodal-CrewAi",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:05:58.270Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:05:58.270Z",
    "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-dipankarbhowmik-multimodal-crewai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-dipankarbhowmik-multimodal-crewai/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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Ads related to Multimodal-CrewAi and adjacent AI workflows.