Crawler Summary

cold-email-replier-agent answer-first brief

Cold Email Replier Agent is an intelligent, multi agent AI system designed to automate and personalize the outbound sales process. Built with CrewAI and Streamlit, it utilizes specialized agents to research target companies and craft high converting, human sounding outreach and replies. Cold Email Replier Agent AI-powered cold email generator and auto-replier built with **Streamlit** and **CrewAI**. Features - **Cold email generation** — CrewAI agents analyze your offering and target company, then write a personalized outreach email - **Smart replies** — Paste an incoming email; the AI drafts a contextual reply - **Sidebar dashboard** — Configure your company, target company, and API keys in real ti Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

cold-email-replier-agent 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

Agent DossierGITHUB REPOSSafety: 66/100

cold-email-replier-agent

Cold Email Replier Agent is an intelligent, multi agent AI system designed to automate and personalize the outbound sales process. Built with CrewAI and Streamlit, it utilizes specialized agents to research target companies and craft high converting, human sounding outreach and replies. Cold Email Replier Agent AI-powered cold email generator and auto-replier built with **Streamlit** and **CrewAI**. Features - **Cold email generation** — CrewAI agents analyze your offering and target company, then write a personalized outreach email - **Smart replies** — Paste an incoming email; the AI drafts a contextual reply - **Sidebar dashboard** — Configure your company, target company, and API keys in real ti

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Tayyabakousar

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Unpublished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. Last updated 10/9/2026.

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

Tayyabakousar

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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

bash

# Create virtual environment (recommended)
python -m venv venv
venv\Scripts\activate        # Windows
# source venv/bin/activate   # macOS/Linux

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run main.py

text

├── main.py              # Streamlit UI
├── agents/
│   └── email_crew.py    # CrewAI agents & tasks
├── utils/
│   └── email_utils.py   # Email parsing & SMTP
└── requirements.txt

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Cold Email Replier Agent is an intelligent, multi agent AI system designed to automate and personalize the outbound sales process. Built with CrewAI and Streamlit, it utilizes specialized agents to research target companies and craft high converting, human sounding outreach and replies. Cold Email Replier Agent AI-powered cold email generator and auto-replier built with **Streamlit** and **CrewAI**. Features - **Cold email generation** — CrewAI agents analyze your offering and target company, then write a personalized outreach email - **Smart replies** — Paste an incoming email; the AI drafts a contextual reply - **Sidebar dashboard** — Configure your company, target company, and API keys in real ti

Full README

Cold Email Replier Agent

AI-powered cold email generator and auto-replier built with Streamlit and CrewAI.

Features

  • Cold email generation — CrewAI agents analyze your offering and target company, then write a personalized outreach email
  • Smart replies — Paste an incoming email; the AI drafts a contextual reply
  • Sidebar dashboard — Configure your company, target company, and API keys in real time
  • Optional auto-send — SMTP integration to send emails directly from the app
  • Email history — Review and reuse past generated emails

Setup

# Create virtual environment (recommended)
python -m venv venv
venv\Scripts\activate        # Windows
# source venv/bin/activate   # macOS/Linux

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run main.py

Usage

  1. Open the app at http://localhost:8501
  2. In the sidebar, paste your OpenAI API key (applied immediately)
  3. Fill in Your Company details (name, role, product, value prop)
  4. Set the Target Company (name, contact, industry, research notes)
  5. Use Generate Cold Email for initial outreach, or Reply to Email to respond to incoming messages
  6. Optionally configure SMTP in the sidebar to send emails automatically

Project Structure

├── main.py              # Streamlit UI
├── agents/
│   └── email_crew.py    # CrewAI agents & tasks
├── utils/
│   └── email_utils.py   # Email parsing & SMTP
└── requirements.txt

Agents

| Agent | Role | |-------|------| | Email Strategy Analyst | Analyzes context, defines hook angle and CTA | | Professional Email Writer | Writes concise, human-sounding emails |

SMTP Notes

For Gmail, use an App Password instead of your regular password. Host: smtp.gmail.com, Port: 587.

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://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/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.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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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://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:49:44.573Z"
    }
  },
  "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": "Tayyabakousar",
    "href": "https://github.com/TayyabaKousar/cold-email-replier-agent",
    "sourceUrl": "https://github.com/TayyabaKousar/cold-email-replier-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:14:38.836Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:14:38.836Z",
    "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-tayyabakousar-cold-email-replier-agent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tayyabakousar-cold-email-replier-agent/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
  }
]

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