Xpersona Agent
A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. Each agent framework generates a BUY / SELL / HOLD recommendation with rationale—ideal for exploring multi-agent design patterns and orchestration styles. AI Agent Frameworks Comparison: CrewAI vs LangGraph vs AutoGen This project demonstrates and compares three leading Python agent frameworks for orchestrating multi-agent financial analysis workflows: - **CrewAI**: Role-based, sequential agent orchestration - **LangGraph**: State-driven, graph-based agent workflows - **AutoGen**: Conversational, group-chat style agent collaboration All three frameworks are implemented
Overall rank
#18
Adoption
No public adoption signal
Trust
Unknown
Freshness
Feb 25, 2026
Freshness
Last checked Feb 25, 2026
Best For
ai-agent-comparison 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
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. Each agent framework generates a BUY / SELL / HOLD recommendation with rationale—ideal for exploring multi-agent design patterns and orchestration styles. AI Agent Frameworks Comparison: CrewAI vs LangGraph vs AutoGen This project demonstrates and compares three leading Python agent frameworks for orchestrating multi-agent financial analysis workflows: - **CrewAI**: Role-based, sequential agent orchestration - **LangGraph**: State-driven, graph-based agent workflows - **AutoGen**: Conversational, group-chat style agent collaboration All three frameworks are implemented Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Vigneshmaradiya
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Vigneshmaradiya
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
5
Snippets
0
Languages
python
text
ai-agent-comparision/ ├── crewai/ # CrewAI implementation ├── langgraph/ # LangGraph implementation ├── autogen/ # AutoGen implementation ├── requirements.txt ├── .env.example └── README.md
bash
python -m venv .venv source .venv/Scripts/activate # Windows pip install -r requirements.txt cp .env.example .env # and fill in your API keys
bash
cd crewai python main.py
bash
cd langgraph python main.py
bash
cd autogen python main.py
Editorial read
Docs source
GITHUB REPOS
Editorial quality
ready
A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. Each agent framework generates a BUY / SELL / HOLD recommendation with rationale—ideal for exploring multi-agent design patterns and orchestration styles. AI Agent Frameworks Comparison: CrewAI vs LangGraph vs AutoGen This project demonstrates and compares three leading Python agent frameworks for orchestrating multi-agent financial analysis workflows: - **CrewAI**: Role-based, sequential agent orchestration - **LangGraph**: State-driven, graph-based agent workflows - **AutoGen**: Conversational, group-chat style agent collaboration All three frameworks are implemented
This project demonstrates and compares three leading Python agent frameworks for orchestrating multi-agent financial analysis workflows:
All three frameworks are implemented to solve the same problem: analyzing a stock's recent performance and generating an investment recommendation (BUY/SELL/HOLD) with rationale.
ai-agent-comparision/
├── crewai/ # CrewAI implementation
├── langgraph/ # LangGraph implementation
├── autogen/ # AutoGen implementation
├── requirements.txt
├── .env.example
└── README.md
python -m venv .venv
source .venv/Scripts/activate # Windows
pip install -r requirements.txt
cp .env.example .env # and fill in your API keys
cd crewai
python main.py
cd langgraph
python main.py
cd autogen
python main.py
| Feature | CrewAI | LangGraph | AutoGen | |------------------------|----------------------|--------------------------|--------------------------| | Orchestration | Sequential pipeline | State graph (DAG) | Group chat (conversational) | | Agent Roles | Explicit, role-based | Node-based, flexible | Conversational, flexible | | Task Flow | Linear, step-by-step | Custom graph transitions | Multi-turn dialogue | | Extensibility | Add agents/tasks | Add nodes/edges | Add agents, chat logic | | Best For | Business workflows | Complex dependencies | Dynamic collaboration | | Code Structure | agents.py, tasks.py, tools.py | nodes.py, state.py, tools.py | agents.py, workflow.py, config.py | | Learning Curve | Low/Medium | Medium/High | Medium | | Output | Executive report | Analysis + recommendation| Chat log + report |
tools.py in any frameworkagents.py or nodes.pyThis project is a reference for anyone looking to build modular, multi-agent systems in Python using modern frameworks.
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/trust"
Operational fit
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
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
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"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
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"inputSchemaRef": null,
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"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
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"contractUrl": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/trust"
},
"curlExamples": [
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"curl -s \"https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T04:59:37.296Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
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"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": "Vigneshmaradiya",
"href": "https://github.com/Vigneshmaradiya/ai-agent-comparison",
"sourceUrl": "https://github.com/Vigneshmaradiya/ai-agent-comparison",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"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",
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"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vigneshmaradiya-ai-agent-comparison/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
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