Best AI Agent Skills for Lead Generation & CRM in 2026

AI agent skills for lead generation, prospecting, CRM enrichment, cold outreach, and sales pipeline automation.

🔍 Browse 25 lead generation & crm tools ⭐ 104.2k total stars 🔄 Refreshed every 8h
⚡
Quick Pick — If you only pick one, go with OpenOutreach ★ 2.9k — Open-source AI agent for B2B lead generation — describe your product, it finds t

The Complete Guide to Lead Generation & CRM Tools (2026)

What Are Lead Generation & CRM Tools?

Lead Generation & CRM tools are AI-powered software designed to help developers and teams tackle lead generation & crm-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 25 quality-scored lead generation & crm tools across languages including Python, TypeScript, Shell.

Why Use Lead Generation & CRM Tools?

In 2026, the AI agent ecosystem is maturing rapidly. Lead Generation & CRM tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — OpenOutreach, sales, gtm-skills — have earned an average of 4,168 GitHub stars, reflecting strong community validation. 16 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.

How to Choose the Best Lead Generation & CRM Tool?

When choosing a lead generation & crm tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with OpenOutreach — it ranks highest in both star count and quality score.

Top 25 Lead Generation & CRM Tools

1 OpenOutreach by eracle
★ 2.9k Python Agent Tool

Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit and explains why each one does, then exports a CSV your cold-email tool can send. Self-hosted CLI.

View Details → GitHub →
2 sales by sales-skills
★ 96 Python Claude Skill

Claude Code skills for sales, marketing, and GTM — CRM, outbound, note-takers, enrichment, email marketing, influencer marketing, social listening, directories, and more. Install: npx skills add sales-skills/sales

View Details → GitHub →
3 gtm-skills by explorium-ai
★ 85 TypeScript Codex Skill

GTM Skills for Claude & Codex

View Details → GitHub →
4 gtm-eng-skills by getaero-io
★ 63 TypeScript MCP Server

10 AI agent skills for Claude Code — waterfall email enrichment, TAM building, signal discovery, job change detection, and outbound automation. Powered by Deepline CLI with 28+ GTM data providers.

Quick Start: From Claude Code / Codex Paste this prompt: From the command line Then tell Claude what you need: Claude automatically picks the right skill and runs ...
```
Install the Deepline CLI and skills using https://code.deepline.com/agent-install.txt
```
View Details → GitHub →
5 b2b-sdr-agent-template by iPythoning
★ 190 Shell Codex Skill

Open-source AI SDR template for B2B export. 10-stage sales pipeline, 10 cron jobs, 4-engine memory, multi-channel (WhatsApp+Telegram+Email). Built on OpenClaw.

View Details → GitHub →
6 relaticle by relaticle
★ 1.7k PHP MCP Server

Open-source CRM with native AI agent support. 37 MCP tools, REST API, self-hosted. Built with Laravel & Filament

View Details → GitHub →
7 marketing-dashboard by builderz-labs
★ 469 TypeScript Codex Skill

Local-first marketing operations control center for CRM, outreach, content, analytics, approvals, automations, and agent workflows.

View Details → GitHub →
8 nocobase by nocobase
★ 24.4k TypeScript Agent Tool

NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.

View Details → GitHub →
9 hermes-dashboard by builderz-labs
★ 122 TypeScript Agent Tool

Open-source marketing operations control center for AI agent teams (CRM, outreach, content, analytics) powered by OpenClaw + SQLite.

View Details → GitHub →
10 CordysCRM by 1Panel-dev
★ 2.8k Java Codex Skill

🔥 Cordys 是由飞致云匠心打造的新一代的开源 AI CRM 系统,深度融合信息化、数字化与智能化能力,支持私有化部署,全面保障企业数据安全与主权。

View Details → GitHub →
★ 363 Python Agent Tool

Automate lead research, qualification, and outreach with AI agents and Langgraph, creating personalized messaging and connecting with your CRMs (HubSpot, Airtable, Google Sheets)

View Details → GitHub →
12 aiAgentStudio by iamsonal
★ 77 Apex Agent Tool

Open-source framework for building AI agents in Salesforce, with built-in memory, tools, and security

View Details → GitHub →
13 aihawk_mcp_server by feder-cr
★ 31.6k Python MCP Server

Anti-detect agentic stealth browser: undetected browsing, browser automation, Python AI web browsing agent, computer use, scraping, lead generation. No captchas.

View Details → GitHub →
14 AIHawk by feder-cr
★ 31.6k Python MCP Server

Anti-detect agentic browser: undetected browsing, browser automation, MCP server, AI web browsing agent, computer use, scraping, lead generation. No captchas.

View Details → GitHub →
15 DeskcommCRM by melgarafael
★ 4.4k TypeScript MCP Server

Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.

View Details → GitHub →
16 codex-first-customer-finder-skill by Kappaemme-git
★ 1.0k Python Codex Skill

A Codex skill that finds evidence-backed potential first customers from recent public signals.

Quick Start: This installs the skill into: Restart Codex after installation.
```bash
npx --yes codex-first-customer-finder-skill@latest
```
View Details → GitHub →
17 coreclaw-api-directory by cporter202
★ 176 Python MCP Server

An unofficial, categorized directory of 118 CoreClaw Worker APIs for web scraping, automation, lead generation, e-commerce, social data, and more.

View Details → GitHub →
18 line-harness-oss by Shudesu
★ 590 TypeScript MCP Server

L Harness — self-hosted LINE Official Account CRM: step messaging, broadcasts, forms and reservations, with MCP and TypeScript SDK. By Shudesu (野田修一).

View Details → GitHub →
19 objectstack by objectstack-ai
★ 68 TypeScript MCP Server

Apps small enough for AI to hold whole. ObjectStack turns the whole app — data model, UI, workflows, permissions — into typed metadata: a complete CRM in under 150k tokens, one context window. Agents read it whole, reason it whole, refactor it whole.

View Details → GitHub →
20 macro by macro-inc
★ 780 TypeScript MCP Server

Macro is a unified interface for email, messaging, tasks, calls, agents, docs, diagrams, CRM — linked together with shared AI memory.

View Details → GitHub →
21 gtm-mcp by impecablemee
★ 66 Python MCP Server

MCP server for B2B cold outreach — find companies via Apollo, verify with AI, push to SmartLead & GetSales. 49 tools. Works with Claude Code or any MCP client

View Details → GitHub →
22 gtm-engineer-playbook by Othmane-Khadri
★ 54 Shell MCP Server

10 installable Claude Code skills that turn your terminal into a GTM command center. ICP building, signal scanning, lead scoring, outreach sequences, battlecards. Built by Earleads.

View Details → GitHub →
23 RealEstateCRM by prolinkinfo
★ 354 JavaScript AI Tool

RealEstate CRM: Empowering Real Estate Agents with Modern CRM Tools

View Details → GitHub →
24 twenty-crm-mcp-server by mhenry3164
★ 89 JavaScript MCP Server

A Model Context Protocol (MCP) server for Twenty CRM integration. Enables natural language interactions with your CRM data through Claude and other AI assistants. Supports CRUD operations, dynamic schema discovery, and advanced search across people, companies, tasks, and notes.

View Details → GitHub →
★ 106 TypeScript MCP Server

GoHighLevel from Claude, Codex & MCP apps — 927 tools, full v3 coverage, safe CRM automation, plus RealWave for native workflow building.

View Details → GitHub →

Comparison

Tool Stars Language License Score
OpenOutreach ★ 2.9k Python GPL-3.0 78
sales ★ 96 Python — 59
gtm-skills ★ 85 TypeScript MIT 72
gtm-eng-skills ★ 63 TypeScript MIT 62
b2b-sdr-agent-template ★ 190 Shell MIT 65
relaticle ★ 1.7k PHP AGPL-3.0 68
marketing-dashboard ★ 469 TypeScript MIT 68
nocobase ★ 24.4k TypeScript — 74
hermes-dashboard ★ 122 TypeScript MIT 50
CordysCRM ★ 2.8k Java — 71
sales-outreach-automation-langgraph ★ 363 Python — 42
aiAgentStudio ★ 77 Apex MPL-2.0 58
aihawk_mcp_server ★ 31.6k Python MIT 88
AIHawk ★ 31.6k Python MIT 82
DeskcommCRM ★ 4.4k TypeScript MIT 70
codex-first-customer-finder-skill ★ 1.0k Python MIT 73
coreclaw-api-directory ★ 176 Python — 62
line-harness-oss ★ 590 TypeScript MIT 70
objectstack ★ 68 TypeScript Apache-2.0 60
macro ★ 780 TypeScript — 52
gtm-mcp ★ 66 Python — 55
gtm-engineer-playbook ★ 54 Shell MIT 60
RealEstateCRM ★ 354 JavaScript — 34
twenty-crm-mcp-server ★ 89 JavaScript MIT 74
Go-High-Level-MCP-2026-Complete ★ 106 TypeScript — 66

Related Categories

Frequently Asked Questions

What are the best lead generation & crm tools in 2026?

The top lead generation & crm tools in 2026 are OpenOutreach, sales, gtm-skills. Agent Skills Hub ranks 25 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.

How do I choose between OpenOutreach and sales?

OpenOutreach (2.9k stars) is the most adopted choice for general lead generation & crm workflows, written in Python. sales (96 stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with OpenOutreach — it has the deepest community and the most examples online.

When should I NOT use a lead generation & crm tool?

Avoid pre-built lead generation & crm tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.

What's the difference between lead generation & crm and email automation?

Lead Generation & CRM focuses specifically on ai agent skills for lead generation, prospecting, crm enrichment, cold outreach, and sales pipeline automation. Email Automation is a related but distinct category — see https://agentskillshub.top/best/email-automation/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose lead generation & crm when your primary goal is the specific task, and email automation when the workflow is broader.

Is OpenOutreach better than building it yourself?

For most teams, yes. OpenOutreach has 2.9k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.

Are these lead generation & crm tools free to use?

Most lead generation & crm tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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