Xpersona

Crawler Summary

a2a-multi-framework-game-scheduler answer-first brief

Multi-agent scheduling system using Google's A2A protocol. Demonstrates ADK, LangGraph, and CrewAI agents coordinating pickleball games autonomously. A2A Friend Scheduling Demo Executive Summary The A2A Friend Scheduling project is a sophisticated multi-agent system that demonstrates Google's Agent-to-Agent (A2A) communication protocol for coordinating pickleball game scheduling among friends. This project showcases how autonomous agents built with different AI frameworks can seamlessly collaborate to solve real-world coordination challenges through standardized i Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

a2a-multi-framework-game-scheduler 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
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

a2a-multi-framework-game-scheduler

Multi-agent scheduling system using Google's A2A protocol. Demonstrates ADK, LangGraph, and CrewAI agents coordinating pickleball games autonomously. A2A Friend Scheduling Demo Executive Summary The A2A Friend Scheduling project is a sophisticated multi-agent system that demonstrates Google's Agent-to-Agent (A2A) communication protocol for coordinating pickleball game scheduling among friends. This project showcases how autonomous agents built with different AI frameworks can seamlessly collaborate to solve real-world coordination challenges through standardized i

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

OpenClaw

Freshness

Feb 25, 2026

Vendor

Mohsinsheikhani

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Unpublished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

  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

Mohsinsheikhani

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

Protocol compatibility

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 REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

text

GOOGLE_API_KEY="your_api_key_here"

bash

cd kaitlynn_agent_langgraph
uv venv
source .venv/bin/activate
uv run --active app/__main__.py

bash

cd nate_agent_crewai
uv venv
source .venv/bin/activate
uv run --active .

bash

cd karley_agent_adk
uv venv
source .venv/bin/activate
uv run --active .

bash

cd host_agent_adk
uv venv
source .venv/bin/activate
uv run --active adk web

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 scheduling system using Google's A2A protocol. Demonstrates ADK, LangGraph, and CrewAI agents coordinating pickleball games autonomously. A2A Friend Scheduling Demo Executive Summary The A2A Friend Scheduling project is a sophisticated multi-agent system that demonstrates Google's Agent-to-Agent (A2A) communication protocol for coordinating pickleball game scheduling among friends. This project showcases how autonomous agents built with different AI frameworks can seamlessly collaborate to solve real-world coordination challenges through standardized i

Full README

A2A Friend Scheduling Demo

Executive Summary

The A2A Friend Scheduling project is a sophisticated multi-agent system that demonstrates Google's Agent-to-Agent (A2A) communication protocol for coordinating pickleball game scheduling among friends. This project showcases how autonomous agents built with different AI frameworks can seamlessly collaborate to solve real-world coordination challenges through standardized inter-agent communication.

Project Overview

Core Purpose

This multi-agent application demonstrates how to orchestrate conversations between different agents to automatically schedule pickleball games. The system eliminates the manual back-and-forth typically required for group scheduling by having intelligent agents communicate directly with each other to find optimal meeting times and book resources.

Key Capabilities:

  • Automated availability checking across multiple participants
  • Intelligent conflict resolution and time slot optimization
  • Real-time court booking and reservation management
  • Framework-agnostic agent communication using A2A protocol

Business Use Case

While demonstrated through pickleball scheduling, this system addresses broader business coordination challenges:

Primary Applications:

  • Corporate Meeting Scheduling: Automate finding common availability across team members
  • Resource Management: Coordinate booking of shared facilities, equipment, or services
  • Event Planning: Streamline multi-party event coordination and logistics
  • Service Orchestration: Coordinate multiple service providers for complex deliveries

Business Value:

  • Reduces scheduling overhead and administrative burden
  • Eliminates coordination delays and miscommunications
  • Scales to handle complex multi-party scheduling scenarios
  • Demonstrates feasibility of autonomous agent collaboration

System Architecture

This application contains four specialized agents that communicate via HTTP endpoints:

  • Host Agent (ADK): Central orchestrator that manages the scheduling workflow, checks court availability, and handles final bookings
  • Kaitlynn Agent (LangGraph): Manages Kaitlynn's calendar with realistic work-schedule availability patterns
  • Nate Agent (CrewAI): Handles Nate's scheduling using CrewAI's task-based agent framework
  • Karley Agent (ADK): Lightweight agent managing Karley's calendar and preferences

Each agent runs independently and exposes A2A-compliant APIs for seamless inter-agent communication.

<img width="2039" height="1291" alt="AI Agents - Mohsin Sheikhani" src="https://github.com/user-attachments/assets/58f4dd8c-3619-4e59-bb8a-1870bfb6d9f3" />

Setup and Deployment

Prerequisites

Before running the application locally, ensure you have the following installed:

  1. uv: The Python package management tool used in this project. Follow the installation guide: https://docs.astral.sh/uv/getting-started/installation/
  2. python 3.13 Python 3.13 is required to run a2a-sdk
  3. set up .env

Create a .env file in the root of the a2a-multi-framework-game-scheduler directory with your Google API Key:

GOOGLE_API_KEY="your_api_key_here"

Run the Agents

You will need to run each agent in a separate terminal window. The first time you run these commands, uv will create a virtual environment and install all necessary dependencies before starting the agent.

Terminal 1: Run Kaitlynn Agent

cd kaitlynn_agent_langgraph
uv venv
source .venv/bin/activate
uv run --active app/__main__.py

Terminal 2: Run Nate Agent

cd nate_agent_crewai
uv venv
source .venv/bin/activate
uv run --active .

Terminal 3: Run Karley Agent

cd karley_agent_adk
uv venv
source .venv/bin/activate
uv run --active .

Terminal 4: Run Host Agent

cd host_agent_adk
uv venv
source .venv/bin/activate
uv run --active adk web

Interact with the Host Agent

Once all agents are running, the host agent will begin the scheduling process. You can view the interaction in the terminal output of the host_agent.

References

  • https://github.com/google/a2a-python
  • https://codelabs.developers.google.com/intro-a2a-purchasing-concierge#1

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://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/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 6d 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
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://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T04:11:51.459Z"
    }
  },
  "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": "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": "Mohsinsheikhani",
    "href": "https://github.com/mohsinsheikhani/a2a-multi-framework-game-scheduler",
    "sourceUrl": "https://github.com/mohsinsheikhani/a2a-multi-framework-game-scheduler",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:47.235Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:47.235Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-mohsinsheikhani-a2a-multi-framework-game-scheduler/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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