AgentSDR

About AgentSDR

AgentSDR is an open-source AI sales development workspace released as an initial v0.1 build. It consolidates lead data, multi-channel outreach, and reply management into a single self-hosted platform. The tool runs email sequences, LinkedIn campaigns, and WhatsApp outreach with built-in enrichment, and uses an AI-driven CRM to auto-classify replies and generate draft responses.

Review

AgentSDR enters the outbound sales space as a self-hosted alternative to assembling a stack of separate tools. It combines a lead database, enrichment, sequencing, and a unified inbox under the MIT license. Because users supply their own API keys and infrastructure, the platform sidesteps per-seat and per-contact charges that are common in this category.

Key Features

• Unified Lead Database - A central repository for contacts and companies that the tool treats as the single source of truth across all outreach channels.
• Multi-Channel Outreach - Native sequencing for email (via Google Workspace), LinkedIn invites and messages, WhatsApp messaging, and recorded phone calls from one interface.
• Smart Enrichment - Connects to 15 data providers and supports custom AI columns for deeper research on leads.
• Unified AI CRM - Cross-channel replies sync into a single inbox, where the system auto-classifies responses and prepares AI-generated drafts for one-click approval.
• Self-Hosted Architecture - Runs on the user's own infrastructure with their own API keys for Google/Microsoft Workspace, Unipile, OpenRouter, and Cloudflare R2.

Pricing and Value

AgentSDR is free and open-source under the MIT license. There are no seat limits, per-contact fees, or vendor lock-in built into the platform itself. Users shoulder the costs of their own infrastructure, API usage, and email sending accounts. The pricing model for any future managed or cloud-hosted version has not yet been defined.

Pros

• No per-seat or per-contact pricing - the codebase itself imposes zero usage-based fees.
• Full data ownership since everything lives in the user's own database and cloud storage.
• Multi-channel reply aggregation pulls LinkedIn and email conversations into a single threaded inbox.
• MIT license permits auditing the codebase and modifying it to fit specific workflows.
• AI reply classification and draft generation can cut down manual inbox triage time.

Cons

• Self-hosting places deliverability responsibilities - domain warming, IP reputation, and sender score management - entirely on the user. The tool does not handle that layer.
• As a v0.1 release, the feature set is early; integrations, stability, and documentation are likely still maturing.
• Teams without technical staff to manage self-hosted infrastructure and API configurations will find the setup impractical.

AgentSDR fits small to mid-size outbound teams that have the engineering resources to run and customize a self-hosted stack. It's less suited for organizations that want a fully managed service with built-in deliverability infrastructure and hands-off maintenance. For technically capable users who already own warmed-up sending domains and want to escape recurring SaaS fees, the tool consolidates several functions that would otherwise require four or five separate subscriptions.