Crawler Summary

Agentic-Systems answer-first brief

A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. ๐Ÿš€ Agentic Systems ๐Ÿš€ **Agentic Systems** is a go-to repository for building web search agents and multi-agent workflows using cutting-edge AI frameworks. It provides practical implementations leveraging **LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI** to create intelligent, autonomous, and collaborative AI agents. ๐Ÿ“Œ Features - **Web Search Agents** โ€“ Build AI-powered agents that autonomously retrieve and p Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

Agentic-Systems 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

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

Agentic-Systems

A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. ๐Ÿš€ Agentic Systems ๐Ÿš€ **Agentic Systems** is a go-to repository for building web search agents and multi-agent workflows using cutting-edge AI frameworks. It provides practical implementations leveraging **LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI** to create intelligent, autonomous, and collaborative AI agents. ๐Ÿ“Œ Features - **Web Search Agents** โ€“ Build AI-powered agents that autonomously retrieve and p

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals8 GitHub stars

Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 2/25/2026.

8 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

10mudassir007

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Unpublished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. 8 GitHub stars reported by the source. Last updated 2/25/2026.

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

10mudassir007

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

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Adoption (1)

Adoption signal

8 GitHub stars

profilemedium
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

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

2

Snippets

0

Languages

python

Executable Examples

plaintext

๐Ÿ“ฆ Agentic-Systems
โ”œโ”€โ”€ ๐Ÿ“ Email Response Agent
โ”‚   โ”œโ”€โ”€ duckduckgo_tool.py  # Search Tool
โ”‚   โ”œโ”€โ”€ email_agent.py      # Email Response Generator
โ”œโ”€โ”€ ๐Ÿ“ LLAMA-OCR
โ”‚   โ”œโ”€โ”€ ocr.py
โ”œโ”€โ”€ ๐Ÿ“ Travel-Planner
โ”‚   โ”œโ”€โ”€ travel-planner.ipynb
โ”œโ”€โ”€ agent.ipynb # Agent with LangChain   
โ”œโ”€โ”€ agent_phidata.ipynb # Agent with Phidata/Agno
โ”œโ”€โ”€ agent_pydantic.ipynb # Agent with Pydantic AI
โ”œโ”€โ”€ agent_with_crewai.ipynb # Agent with CrewAI
โ”œโ”€โ”€ langgraph_llm_with_tools.ipynb # Agent with LangGraph 
โ””โ”€โ”€ ๐Ÿ“„ README.md                 # Project documentation

bash

git clone https://github.com/yourusername/agentic-systems.git
cd agentic-systems

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. ๐Ÿš€ Agentic Systems ๐Ÿš€ **Agentic Systems** is a go-to repository for building web search agents and multi-agent workflows using cutting-edge AI frameworks. It provides practical implementations leveraging **LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI** to create intelligent, autonomous, and collaborative AI agents. ๐Ÿ“Œ Features - **Web Search Agents** โ€“ Build AI-powered agents that autonomously retrieve and p

Full README

Agentic Systems

๐Ÿš€ Agentic Systems is a go-to repository for building web search agents and multi-agent workflows using cutting-edge AI frameworks. It provides practical implementations leveraging LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI to create intelligent, autonomous, and collaborative AI agents.

๐Ÿ“Œ Features

  • Web Search Agents โ€“ Build AI-powered agents that autonomously retrieve and process information from the web.
  • Multi-Agent Email Response Agent โ€“ Automates email handling with intelligent agent collaboration.
  • LLaMA OCR โ€“ Optical Character Recognition (OCR) powered by LLaMA models for document processing.
  • Multi-Agent Travel Planner โ€“ AI-driven travel planning, including itinerary recommendations and booking assistance.
  • Seamless Integration โ€“ Works with popular AI frameworks to streamline agent-based solutions.

๐Ÿ› ๏ธ Tech Stack

  • LangChain โ€“ Framework for building LLM-powered applications.
  • LangGraph โ€“ Graph-based execution for multi-agent workflows.
  • Phidata/Agno โ€“ Data and workflow automation for AI agents.
  • Pydantic โ€“ Data validation and settings management.
  • CrewAI โ€“ Multi-agent collaboration framework.

๐Ÿ“‚ Project Structure

๐Ÿ“ฆ Agentic-Systems
โ”œโ”€โ”€ ๐Ÿ“ Email Response Agent
โ”‚   โ”œโ”€โ”€ duckduckgo_tool.py  # Search Tool
โ”‚   โ”œโ”€โ”€ email_agent.py      # Email Response Generator
โ”œโ”€โ”€ ๐Ÿ“ LLAMA-OCR
โ”‚   โ”œโ”€โ”€ ocr.py
โ”œโ”€โ”€ ๐Ÿ“ Travel-Planner
โ”‚   โ”œโ”€โ”€ travel-planner.ipynb
โ”œโ”€โ”€ agent.ipynb # Agent with LangChain   
โ”œโ”€โ”€ agent_phidata.ipynb # Agent with Phidata/Agno
โ”œโ”€โ”€ agent_pydantic.ipynb # Agent with Pydantic AI
โ”œโ”€โ”€ agent_with_crewai.ipynb # Agent with CrewAI
โ”œโ”€โ”€ langgraph_llm_with_tools.ipynb # Agent with LangGraph 
โ””โ”€โ”€ ๐Ÿ“„ README.md                 # Project documentation

๐Ÿš€ Getting Started

1๏ธโƒฃ Installation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/agentic-systems.git
cd agentic-systems

๐Ÿ› ๏ธ Contributing

Contributions are welcome! Feel free to submit pull requests, issues, or feature suggestions.

๐Ÿ“œ License

This project is licensed under the MIT License.


๐Ÿš€ Agentic Systems โ€“ Empowering AI with autonomous and intelligent multi-agent workflows!

Contract & API

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

MissingGITHUB REPOS

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-10mudassir007-agentic-systems/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/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 โ€ข (~400 MCP servers for AI agents) โ€ข AI Automation / AI Agent with MCPs โ€ข AI Workflows & AI Agents โ€ข 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 5d 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 | ๐ŸŒŸ 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
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-10mudassir007-agentic-systems/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T01:02:23.995Z"
    }
  },
  "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": "10mudassir007",
    "href": "https://github.com/10mudassir007/Agentic-Systems",
    "sourceUrl": "https://github.com/10mudassir007/Agentic-Systems",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:51.305Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:51.305Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "8 GitHub stars",
    "href": "https://github.com/10mudassir007/Agentic-Systems",
    "sourceUrl": "https://github.com/10mudassir007/Agentic-Systems",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:51.305Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท 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 Agentic-Systems and adjacent AI workflows.