Multi-channel outreach
Run email sequences, LinkedIn campaigns, and WhatsApp calls or message campaigns in one workspace, with replies collected in the AI CRM.
Open-source, self-hosted AI sales development for email, LinkedIn, and WhatsApp outreach.
AgentSDR is a self-hosted AI sales development platform for running outreach across email, LinkedIn, and WhatsApp from one workspace. Its AI CRM classifies replies, drafts responses from a knowledge base, and queues follow-up actions for review rather than sending them automatically. Channel activity and outcomes are brought together in one view.
The product is open source under the MIT License and runs on infrastructure managed by the user. Organizations connect their own service accounts and AI provider key, keeping leads, conversations, settings, and connected credentials within their own deployment and storage configuration.
Run email sequences, LinkedIn campaigns, and WhatsApp calls or message campaigns in one workspace, with replies collected in the AI CRM.
Classify replies into stages such as Interested, Customer, Not interested, or Other, then generate response drafts from the organization’s knowledge base for approval, editing, or reclassification.
Send from connected Google Workspace mailboxes using merge fields, CSV or XLSX columns, A/B spin text, mailbox pools, daily caps, sending windows, unsubscribe handling, and bounce suppression.
Use Unipile-connected LinkedIn accounts for invitation, acceptance messaging, and three follow-ups, with account-level pacing and reply threads.
Place calls inside WhatsApp Web through the Chrome extension, record and transcribe both sides to the connected R2 bucket, retry unanswered leads after 1, 2, and 4 days, and run message campaigns.
Deploy the MIT-licensed application with Docker Compose and PostgreSQL, while connecting organization-owned Google Workspace, Unipile, OpenRouter, Cloudflare R2, and enrichment accounts.
A sales team can run email, LinkedIn, and WhatsApp activity side by side, then review channel replies and follow-up work from a common CRM queue.
Teams can use the classification and draft workflow to identify interested prospects, information requests, meeting requests, and other replies before a person approves or edits the response.
Organizations that need to run the application themselves can deploy it with their own database, AI key, connected mailboxes and accounts, and storage bucket under the MIT License.
Operators can distribute campaigns across connected Google Workspace mailboxes, use spreadsheet-provided fields, and manage sending windows, caps, unsubscribes, and bounces.
AgentSDR supports email sequences through Google Workspace, LinkedIn outreach through Unipile-connected accounts, and WhatsApp calls and message campaigns.
Yes. AgentSDR is MIT-licensed and can be run with Docker Compose and PostgreSQL. The documented deployment uses one application, a PostgreSQL database, setup, and a cron sidecar.
The documented connections include Google Workspace for email, Unipile for LinkedIn and WhatsApp, OpenRouter for AI requests, Cloudflare R2 for call recordings, and enrichment providers such as Apollo, Hunter, and Lusha.
The AI classifies replies and drafts answers from the organization’s knowledge base. Drafts are held for review, where a user can approve, edit, or reclassify them.
Connected credentials are encrypted with AES-256-GCM in the instance database. Call recordings are stored in the organization’s connected Cloudflare R2 bucket, and AI requests use the organization’s own OpenRouter key.
Данные о трафике приведены только для справки.
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