Xpersona

Crawler Summary

AgenticAI-Playground answer-first brief

AgenticAI-Playground is a hands-on exploration hub for building, testing, and understanding modern Agentic AI systems — from autonomous agents and RAG pipelines to LLM orchestration frameworks like LangGraph, CrewAI, and AutoGen. Agentic AI Playground: CrewAI Email Assistant Welcome to the **Agentic AI Playground**! This repository serves as a hands-on playground for experimenting with Agentic AI workflows, focusing on multi-agent coordination, custom tools, and Google's Gemini models using the $1 framework. 🚀 Overview The primary project in this playground is an **Email Assistant Agent** designed to automate, polish, and transform raw or in Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AgenticAI-Playground 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

AgenticAI-Playground

AgenticAI-Playground is a hands-on exploration hub for building, testing, and understanding modern Agentic AI systems — from autonomous agents and RAG pipelines to LLM orchestration frameworks like LangGraph, CrewAI, and AutoGen. Agentic AI Playground: CrewAI Email Assistant Welcome to the **Agentic AI Playground**! This repository serves as a hands-on playground for experimenting with Agentic AI workflows, focusing on multi-agent coordination, custom tools, and Google's Gemini models using the $1 framework. 🚀 Overview The primary project in this playground is an **Email Assistant Agent** designed to automate, polish, and transform raw or in

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

Victorjanni

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Unpublished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

Victorjanni

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

5

Snippets

0

Languages

python

Executable Examples

python

from crewai.tools import BaseTool

class ReplaceJargonsTool(BaseTool):
    name: str = "Jargon replacement tool"
    description: str = "Replaces jargon with more specific terms."

    def _run(self, email: str) -> str:
        # Dictionary of acronyms/jargon and their professional translations
        replacements = {
            "PRX": "Project Phoenix (internal AI revamp project)",
            "TAS": "technical architecture stack",
            "DBX": "client database cluster",
            "SDS": "Smart Data Syncer",
            "SYNCBOT": "internal standup assistant bot",
            "WIP": "in progress",
            "POC": "proof of concept",
            "ping": "reach out"
        }
        suggestions = []
        email_lower = email.lower()
        for jargon, replacement in replacements.items():
            if jargon.lower() in email_lower:
                suggestions.append(f"Consider replacing '{jargon}' with '{replacement}'")

        return "\n".join(suggestions) if suggestions else "No jargon or internal abbreviations detected."

bash

# Using uv (recommended)
uv sync

bash

pip install -e .

env

GEMINI_API_KEY=your-api-key-here

bash

uv run jupyter notebook

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

AgenticAI-Playground is a hands-on exploration hub for building, testing, and understanding modern Agentic AI systems — from autonomous agents and RAG pipelines to LLM orchestration frameworks like LangGraph, CrewAI, and AutoGen. Agentic AI Playground: CrewAI Email Assistant Welcome to the **Agentic AI Playground**! This repository serves as a hands-on playground for experimenting with Agentic AI workflows, focusing on multi-agent coordination, custom tools, and Google's Gemini models using the $1 framework. 🚀 Overview The primary project in this playground is an **Email Assistant Agent** designed to automate, polish, and transform raw or in

Full README

Agentic AI Playground: CrewAI Email Assistant

Welcome to the Agentic AI Playground! This repository serves as a hands-on playground for experimenting with Agentic AI workflows, focusing on multi-agent coordination, custom tools, and Google's Gemini models using the CrewAI framework.

🚀 Overview

The primary project in this playground is an Email Assistant Agent designed to automate, polish, and transform raw or informal email drafts into professional, contextual correspondence.

The repository features two primary notebook workflows that build upon each other:

  1. Basic Agent Workflow: Sets up a single agent to rewrite drafts using natural language instructions.
  2. Tool-Enhanced Workflow: Integrates a custom Python class-based tool to automatically detect and suggest replacements for internal jargon and acronyms before drafting.

🛠️ Project Structure

The project is structured simply to support interactive experimentation:

  • email_agent.ipynb: Implements the baseline CrewAI assistant using the Gemini 2.0 Flash model.
  • email_agent_with_tool.ipynb: Enhances the assistant by integrating a custom tool (ReplaceJargonsTool) to intercept and resolve internal jargon/abbreviations.
  • pyproject.toml: Project configuration specifying dependencies like crewai[google-genai,tools].
  • main.py: A basic hello-world entry point confirming Python environment status.

🔑 Key Concepts Covered

1. CrewAI Orchestration

The notebooks demonstrate the core concepts of the CrewAI framework:

  • Agents: Entities with specific roles, goals, and backstories.
  • Tasks: Specific, actionable prompts assigned to agents along with expected outputs.
  • Crews: Orchestrators coordinating the sequential execution of tasks by agents.

2. LLM Integration

We leverage gemini/gemini-2.0-flash as our core model, showcasing the integration between CrewAI and Google GenAI APIs.

3. Custom Agent Tools

In email_agent_with_tool.ipynb, we build a custom tool by inheriting from BaseTool:

from crewai.tools import BaseTool

class ReplaceJargonsTool(BaseTool):
    name: str = "Jargon replacement tool"
    description: str = "Replaces jargon with more specific terms."

    def _run(self, email: str) -> str:
        # Dictionary of acronyms/jargon and their professional translations
        replacements = {
            "PRX": "Project Phoenix (internal AI revamp project)",
            "TAS": "technical architecture stack",
            "DBX": "client database cluster",
            "SDS": "Smart Data Syncer",
            "SYNCBOT": "internal standup assistant bot",
            "WIP": "in progress",
            "POC": "proof of concept",
            "ping": "reach out"
        }
        suggestions = []
        email_lower = email.lower()
        for jargon, replacement in replacements.items():
            if jargon.lower() in email_lower:
                suggestions.append(f"Consider replacing '{jargon}' with '{replacement}'")

        return "\n".join(suggestions) if suggestions else "No jargon or internal abbreviations detected."

The agent autonomously determines when to execute this tool based on the user's input, parsing custom project acronyms (like TAS, PRX, SDS, SYNCBOT) before drafting the final response.

⚙️ Setup & Installation

This repository is optimized to use uv, a fast Python package installer and resolver.

1. Prerequisites

Ensure you have Python 3.13 or newer installed.

2. Install Dependencies

Run the following command in the project root to install the project virtual environment and lock dependencies:

# Using uv (recommended)
uv sync

Alternatively, if you are using standard pip:

pip install -e .

3. Environment Configuration

Create a .env file in the root directory and add your Google Gemini API key:

GEMINI_API_KEY=your-api-key-here

4. Running the Notebooks

Launch your Jupyter environment:

uv run jupyter notebook

Or open the folder directly in VS Code and select the .venv kernel to run the notebooks interactively.

📈 Example Workflow Run

Input Draft:

“looping in Priya. TAS and PRX updates are in the deck. ETA for SDS integration is Friday. Let's sync up tomorrow if SYNCBOT allows 😄. ping me if any blockers.”

Agent Action (Utilizing Custom Tool):

  1. Tool Invoked: The agent identifies jargon and runs Jargon replacement tool on the email.
  2. Tool Output:
    • Suggests replacing TAS $\rightarrow$ technical architecture stack
    • Suggests replacing PRX $\rightarrow$ Project Phoenix (internal AI revamp project)
    • Suggests replacing SDS $\rightarrow$ Smart Data Syncer
    • Suggests replacing SYNCBOT $\rightarrow$ internal standup assistant bot
    • Suggests replacing ping $\rightarrow$ reach out
  3. Refined Output Drafted: The agent structures a professional, polite, and cohesive email update using the translated terms.

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-victorjanni-agenticai-playground/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/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 2h 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-victorjanni-agenticai-playground/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T20:53:11.765Z"
    }
  },
  "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": "Victorjanni",
    "href": "https://github.com/victorjanni/AgenticAI-Playground",
    "sourceUrl": "https://github.com/victorjanni/AgenticAI-Playground",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:11.331Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:11.331Z",
    "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-victorjanni-agenticai-playground/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-victorjanni-agenticai-playground/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 AgenticAI-Playground and adjacent AI workflows.