Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Crawler Summary
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. π Agentic Systems π **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. π Features - **Web Search Agents** β Build AI-powered agents that autonomously retrieve and p Capability contract not published. No trust telemetry is available yet. 9 GitHub stars reported by the source. Last updated 5/31/2026.
Freshness
Last checked 5/31/2026
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 OPENCLEW, runtime-metrics, public facts pack
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. π Agentic Systems π **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. π Features - **Web Search Agents** β Build AI-powered agents that autonomously retrieve and p
Public facts
4
Change events
0
Artifacts
0
Freshness
May 31, 2026
Capability contract not published. No trust telemetry is available yet. 9 GitHub stars reported by the source. Last updated 5/31/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 31, 2026
Vendor
10mudassir007
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 9 GitHub stars reported by the source. Last updated 5/31/2026.
Setup snapshot
git clone https://github.com/10mudassir007/Agentic-Systems.gitSetup 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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
10mudassir007
Protocol compatibility
OpenClaw
Adoption signal
9 GitHub stars
Handshake status
UNKNOWN
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
python
plaintext
π¦ Agentic-Systems βββ π Email Response Agent β βββ duckduckgo_tool.py # Search Tool β βββ email_agent.py # Email Response Generator βββ π LLAMA-OCR β βββ ocr.py βββ π Travel-Planner β βββ travel-planner.ipynb βββ agent.ipynb # Agent with LangChain βββ agent_phidata.ipynb # Agent with Phidata/Agno βββ agent_pydantic.ipynb # Agent with Pydantic AI βββ agent_with_crewai.ipynb # Agent with CrewAI βββ langgraph_llm_with_tools.ipynb # Agent with LangGraph βββ π README.md # Project documentation
bash
git clone https://github.com/yourusername/agentic-systems.git cd agentic-systems
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
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. π Agentic Systems π **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. π Features - **Web Search Agents** β Build AI-powered agents that autonomously retrieve and p
π 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.
π¦ Agentic-Systems
βββ π Email Response Agent
β βββ duckduckgo_tool.py # Search Tool
β βββ email_agent.py # Email Response Generator
βββ π LLAMA-OCR
β βββ ocr.py
βββ π Travel-Planner
β βββ travel-planner.ipynb
βββ agent.ipynb # Agent with LangChain
βββ agent_phidata.ipynb # Agent with Phidata/Agno
βββ agent_pydantic.ipynb # Agent with Pydantic AI
βββ agent_with_crewai.ipynb # Agent with CrewAI
βββ langgraph_llm_with_tools.ipynb # Agent with LangGraph
βββ π README.md # Project documentation
Clone the repository and install dependencies:
git clone https://github.com/yourusername/agentic-systems.git
cd agentic-systems
Contributions are welcome! Feel free to submit pull requests, issues, or feature suggestions.
This project is licensed under the MIT License.
π Agentic Systems β Empowering AI with autonomous and intelligent multi-agent workflows!
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
An implementation of a multi-agent swarm using LangGraph
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
LangGraph Multi-Agent Supervisor
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
LangChain tools for OceanBus β give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.
Traction
No public download signal
Freshness
Updated 4mo ago
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-10mudassir007-agentic-systems/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract\"",
"curl -s \"https://www.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_OPENCLEW",
"generatedAt": "2026-10-08T22:18:56.614Z"
}
},
"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",
"label": "Vendor",
"value": "10mudassir007",
"category": "vendor",
"href": "https://github.com/10mudassir007/Agentic-Systems",
"sourceUrl": "https://github.com/10mudassir007/Agentic-Systems",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:34.169Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:34.169Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "traction",
"label": "Adoption signal",
"value": "9 GitHub stars",
"category": "adoption",
"href": "https://github.com/10mudassir007/Agentic-Systems",
"sourceUrl": "https://github.com/10mudassir007/Agentic-Systems",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:34.169Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-10mudassir007-agentic-systems/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
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