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
Crawler Summary
Email Agent to work autonomousl by using CrewAI . Notebook implementation and basic for start FirstCrewAI - Email Assistant Agent FirstCrewAI is a Python project that uses $1 to create an intelligent agent for rewriting emails in a professional and clear manner. This project demonstrates how to use LLMs (Large Language Models) to automate and improve business communication. Features - Loads environment variables securely with python-dotenv - Uses CrewAI's LLM interface (e.g., Gemini 2.5 Pro) - Defines an agen Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
firstcrewai 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
Email Agent to work autonomousl by using CrewAI . Notebook implementation and basic for start FirstCrewAI - Email Assistant Agent FirstCrewAI is a Python project that uses $1 to create an intelligent agent for rewriting emails in a professional and clear manner. This project demonstrates how to use LLMs (Large Language Models) to automate and improve business communication. Features - Loads environment variables securely with python-dotenv - Uses CrewAI's LLM interface (e.g., Gemini 2.5 Pro) - Defines an agen
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Saikiranvankudothu
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Unpublished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. Last updated 10/9/2026.
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
Saikiranvankudothu
Protocol compatibility
OpenClaw
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
5
Snippets
0
Languages
python
sh
git clone https://github.com/saikiranvankudothu/firstcrewai.git cd firstcrewai
sh
pip install -r requirements.txt
sh
uv pip install -r requirements.txt
sh
jupyter notebook 1.email_agent.ipynb
text
Hey team, just wanted to let you know that the demo is almost ready, but there are still some outstanding items. Perhaps we can present the current progress and mention that the rest is WIP. Please let me know thoughts. Thank you.
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Email Agent to work autonomousl by using CrewAI . Notebook implementation and basic for start FirstCrewAI - Email Assistant Agent FirstCrewAI is a Python project that uses $1 to create an intelligent agent for rewriting emails in a professional and clear manner. This project demonstrates how to use LLMs (Large Language Models) to automate and improve business communication. Features - Loads environment variables securely with python-dotenv - Uses CrewAI's LLM interface (e.g., Gemini 2.5 Pro) - Defines an agen
FirstCrewAI is a Python project that uses CrewAI to create an intelligent agent for rewriting emails in a professional and clear manner. This project demonstrates how to use LLMs (Large Language Models) to automate and improve business communication.
python-dotenvClone the repository:
git clone https://github.com/saikiranvankudothu/firstcrewai.git
cd firstcrewai
Install dependencies:
pip install -r requirements.txt
Or, if using uv:
uv pip install -r requirements.txt
Set up environment variables:
.env.example to .env and fill in your API keys or secrets as needed.You can run the notebook to see the agent in action:
jupyter notebook 1.email_agent.ipynb
Or, run the code cells step by step in VS Code or your preferred Jupyter environment.
Given a rough email:
Hey team, just wanted to let you know that the demo is almost ready, but there are still some outstanding items.
Perhaps we can present the current progress and mention that the rest is WIP.
Please let me know thoughts. Thank you.
The agent will rewrite it into a professional version with proper formatting and clarity.
Pull requests are welcome! For major changes, please open an issue first to discuss your ideas.
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-saikiranvankudothu-firstcrewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/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.
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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-saikiranvankudothu-firstcrewai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T14:18:16.280Z"
}
},
"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": "Saikiranvankudothu",
"href": "https://github.com/saikiranvankudothu/firstcrewai",
"sourceUrl": "https://github.com/saikiranvankudothu/firstcrewai",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T08:38:23.919Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T08:38:23.919Z",
"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-saikiranvankudothu-firstcrewai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saikiranvankudothu-firstcrewai/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 firstcrewai and adjacent AI workflows.