Talking to customers · Independent · 20 Oct 2026

Kandid-ai/AgentSDR

Open-source AI SDR: email sequences, LinkedIn and WhatsApp outreach, enrichment tables, and an AI CRM that classifies every reply and drafts the answer. Self-hosted, bring your own AI key.

← Talking to customers
AgentSDR: open-source AI sales assistant. Runs email, LinkedIn, and WhatsApp outreach from your server.

In simple English

Finding new customers usually means paying for six different tools. This app puts lead enrichment, email sequences, LinkedIn messages, and a chat inbox into one place. An artificial intelligence reads every reply from your targets and writes a draft answer for you. Nothing goes out until you click send. You host it on your own server and pay only for the computer time and the artificial intelligence keys you use.

What it is

AgentSDR is a self-hosted sales engagement platform built with TypeScript, Next.js (a framework for building web applications), and PostgreSQL (a database system). It unifies multi-channel outreach and reply handling into a single dashboard.

What it is good for

Solo builders and small teams who want to run cold outreach without paying per-seat software fees or trusting third-party platforms with their prospect lists.

Stars45
LicenceMIT
Latestv0.3.1 (2026-10-08)checked 20 Oct 2026
Last code change2026-10-09
Written inTypeScript
Setup effort
4 / 5
Payoff
4 / 5
Good
  • No per-seat or per-contact fees.
  • Unifies email, LinkedIn, and WhatsApp into one inbox.
  • Keeps your prospect data on your own server.
Watch for
  • Requires Docker and server administration knowledge to set up and run.
  • LinkedIn automation risks account restrictions if limits are set too high.
  • Depends on paid external services for enrichment and artificial intelligence.
Replaces

Stitching together Apollo, Hunter, Instantly, and HubSpot for cold outreach

Works well with

Docker and OpenRouter for model access

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Install
mkdir agentsdr && cd agentsdr
curl -O https://raw.githubusercontent.com/Kandid-ai/AgentSDR/main/docker-compose.yml
docker compose up -d

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