Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d 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. ๐ Agentic Systems ๐ **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. ๐ 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
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. ๐ Agentic Systems ๐ **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. ๐ Features - **Web Search Agents** โ Build AI-powered agents that autonomously retrieve and p
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 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Unpublished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. 8 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
10mudassir007
Protocol compatibility
OpenClaw
Adoption signal
8 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
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
๐ฆ Agentic-Systems โโโ ๐ Email Response Agent โ โโโ duckduckgo_tool.py # Search Tool โ โโโ email_agent.py # Email Response Generator โโโ ๐ LLAMA-OCR โ โโโ ocr.py โโโ ๐ Travel-Planner โ โโโ travel-planner.ipynb โโโ agent.ipynb # Agent with LangChain โโโ agent_phidata.ipynb # Agent with Phidata/Agno โโโ agent_pydantic.ipynb # Agent with Pydantic AI โโโ agent_with_crewai.ipynb # Agent with CrewAI โโโ langgraph_llm_with_tools.ipynb # Agent with LangGraph โโโ ๐ 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 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. ๐ Agentic Systems ๐ **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. ๐ Features - **Web Search Agents** โ Build AI-powered agents that autonomously retrieve and p
๐ 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.
๐ฆ Agentic-Systems
โโโ ๐ Email Response Agent
โ โโโ duckduckgo_tool.py # Search Tool
โ โโโ email_agent.py # Email Response Generator
โโโ ๐ LLAMA-OCR
โ โโโ ocr.py
โโโ ๐ Travel-Planner
โ โโโ travel-planner.ipynb
โโโ agent.ipynb # Agent with LangChain
โโโ agent_phidata.ipynb # Agent with Phidata/Agno
โโโ agent_pydantic.ipynb # Agent with Pydantic AI
โโโ agent_with_crewai.ipynb # Agent with CrewAI
โโโ langgraph_llm_with_tools.ipynb # Agent with LangGraph
โโโ ๐ 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.
๐ Agentic Systems โ 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://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"
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
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
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
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 | ๐ Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d 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://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
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