Xpersona

Crawler Summary

LLM-Powered-Multi-Agent-System answer-first brief

Local Multi-Agent system using CrewAI + FastAPI + Streamlit. A clean-architecture orchestration platform featuring real-time status polling, live agent logs, and markdown report generation. Collaborative AI Agent Orchestrator A production-ready, clean-architecture multi-agent orchestration platform built with **FastAPI**, **CrewAI**, and **LangChain**. It uses a local **Ollama** instance running Llama 3 for local LLM inference and a **Streamlit** frontend for user interaction, progress tracking, and report downloads. --- Architecture Diagram The codebase utilizes Clean Architecture patterns to separate Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

LLM-Powered-Multi-Agent-System 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-Powered-Multi-Agent-System

Local Multi-Agent system using CrewAI + FastAPI + Streamlit. A clean-architecture orchestration platform featuring real-time status polling, live agent logs, and markdown report generation. Collaborative AI Agent Orchestrator A production-ready, clean-architecture multi-agent orchestration platform built with **FastAPI**, **CrewAI**, and **LangChain**. It uses a local **Ollama** instance running Llama 3 for local LLM inference and a **Streamlit** frontend for user interaction, progress tracking, and report downloads. --- Architecture Diagram The codebase utilizes Clean Architecture patterns to separate

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

Yogiri19

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Unpublished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

Yogiri19

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

mermaid

graph TD
    Streamlit[Streamlit Frontend] -->|REST API| FastAPI[FastAPI Backend]
    FastAPI --> Endpoints[API Endpoints]
    Endpoints --> Service[Crew Service]
    Service --> Core[Agents & Tasks Definitions]
    Core --> CrewAI[CrewAI Framework]
    CrewAI --> LangChain[LangChain ChatOllama]
    LangChain --> Ollama[Local Ollama Llama 3]

bash

ollama pull llama3

bash

cd agent_orchestrator

bash

python -m venv venv
   # On Windows:
   venv\Scripts\activate
   # On macOS/Linux:
   source venv/bin/activate

bash

pip install -r requirements.txt

bash

uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Local Multi-Agent system using CrewAI + FastAPI + Streamlit. A clean-architecture orchestration platform featuring real-time status polling, live agent logs, and markdown report generation. Collaborative AI Agent Orchestrator A production-ready, clean-architecture multi-agent orchestration platform built with **FastAPI**, **CrewAI**, and **LangChain**. It uses a local **Ollama** instance running Llama 3 for local LLM inference and a **Streamlit** frontend for user interaction, progress tracking, and report downloads. --- Architecture Diagram The codebase utilizes Clean Architecture patterns to separate

Full README

Collaborative AI Agent Orchestrator

A production-ready, clean-architecture multi-agent orchestration platform built with FastAPI, CrewAI, and LangChain. It uses a local Ollama instance running Llama 3 for local LLM inference and a Streamlit frontend for user interaction, progress tracking, and report downloads.

Architecture Diagram

The codebase utilizes Clean Architecture patterns to separate concerns:

graph TD
    Streamlit[Streamlit Frontend] -->|REST API| FastAPI[FastAPI Backend]
    FastAPI --> Endpoints[API Endpoints]
    Endpoints --> Service[Crew Service]
    Service --> Core[Agents & Tasks Definitions]
    Core --> CrewAI[CrewAI Framework]
    CrewAI --> LangChain[LangChain ChatOllama]
    LangChain --> Ollama[Local Ollama Llama 3]
  • Core: Contains static configurations and domain logic, including the setup of CrewAI Agents, Tasks, and LLMs.
  • Services: Manages the orchestration and asynchronous execution of Crews. Implements task lifecycle states (PENDING, RUNNING, COMPLETED, FAILED) in an in-memory repository.
  • Schemas: Validates and serializes requests/responses using Pydantic v2.
  • API: Exposes HTTP endpoints for triggering crews and retrieving execution logs.

Tech Stack

  • Backend: FastAPI, Uvicorn, Pydantic v2, Pydantic-Settings
  • Frontend: Streamlit, Requests
  • Orchestration: CrewAI, LangChain Community
  • LLM Engine: Ollama (Llama 3 or similar model)
  • Deployment: Docker, Docker Compose

Prerequisites

  1. Python: Python 3.11 or higher installed.
  2. Ollama: Download and install Ollama from https://ollama.com.
  3. Pull Llama 3 Model: 
    ollama pull llama3
  4. Docker & Docker Compose: (Optional, for containerized run).

Getting Started (Local Run)

1. Setup the Backend API

  1. Navigate to the project root directory: 
    cd agent_orchestrator
  2. Create and activate a virtual environment: 
    python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
  3. Install dependencies: 
    pip install -r requirements.txt
  4. Start the FastAPI server using Uvicorn: 
    uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
    The backend API will be available at http://localhost:8000 with interactive API docs at http://localhost:8000/docs.

2. Setup the Streamlit Frontend

  1. Ensure the virtual environment is active.
  2. Run the Streamlit application: 
    streamlit run frontend/app.py
  3. Open your browser and navigate to http://localhost:8501.

Deployment with Docker Compose

To orchestrate and run both the backend and frontend in Docker:

  1. Ensure Ollama is running on your host machine.
  2. Run the build and start command: 
    docker-compose up --build
  3. Docker Compose will start:
    • FastAPI Backend: http://localhost:8000
    • Streamlit Frontend: http://localhost:8501

Note: The containers are configured to communicate with Ollama running on your host machine via the hostname host.docker.internal.

API Endpoints

  • GET /: Health status and API metadata.
  • POST /api/v1/tasks: Trigger a new crew execution.
    • Payload: 
      {
  "topic": "The evolution of clean code practices in AI development"
}
    • Response: Returns a unique task_id, status (PENDING/RUNNING), and initialization logs.
  • GET /api/v1/tasks/{task_id}: Fetch status, incremental agent logs, and the final generated report once complete.
  • GET /api/v1/tasks: List all submitted tasks and their metadata.

Code Quality and Design

  • Type Hinting: All code contains descriptive Python type hints for static analysis.
  • Robust Error Handling: Background tasks are wrapped in try-except blocks, storing execution errors in the task state for frontend visibility.
  • Clean Logging: Configured standard library logger for consistent stdout output.

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-yogiri19-llm-powered-multi-agent-system/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/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-yogiri19-llm-powered-multi-agent-system/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:08:22.617Z"
    }
  },
  "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": "Yogiri19",
    "href": "https://github.com/Yogiri19/LLM-Powered-Multi-Agent-System",
    "sourceUrl": "https://github.com/Yogiri19/LLM-Powered-Multi-Agent-System",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:51:00.172Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:51:00.172Z",
    "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-yogiri19-llm-powered-multi-agent-system/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-yogiri19-llm-powered-multi-agent-system/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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