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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Agentic Email Automation Tool: Describe your product. Define your target market. The AI finds the leads for you.
| Date | Stars |
|---|---|
| 2026-07-31 | 2564 |
| 2026-08-02 | 2590 |
| 2026-08-06 | 2590 |
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 > **Describe your product. Define your target market. The AI finds the leads and emails them for you.** <div align="center"> [](https://github.com/eracle/OpenOutreach/stargazers) [](https://github.com/eracle/OpenOutreach/network/members) [](https://www.gnu.org/licenses/gpl-3.0) [](https://github.com/eracle/OpenOutreach/issues) <br/> # Demo: <img src="docs/demo.gif" alt="Demo Animation" width="100%"/> </div> --- ### 🚀 What is OpenOutreach? OpenOutreach is a **self-hosted, open-source, email-first AI sales agent** for B2B lead generation. It discovers leads from a **licensed data provider**, qualifies them on your own machine, and runs **agentic email outreach from a mailbox you own** — with **zero platform-ToS surface**: it is browserless, uses no social-network account, and does no scraping. Unlike other tools, **you don't need a list of profiles to contact** — you describe your product and your target market, and the system autonomously discovers, qualifies, and emails the right people. **How it works:** 1. **You provide** a product description and a campaign objective (e.g. "SaaS analytics platform" targeting "VP of Engineering at Series B startups") 2. **An LLM turns that into an ICP filter** and pages matching firmographic profiles from a **licensed discovery source** (BetterContact **Lead Finder**) — no emails yet, billed nothing 3. **A model scores the profiles** (Gaussian Process Regressor on profile embeddings) so the expensive steps go to the most promising candidates first — explore/exploit over the pool 4. **An LLM classifies** each candidate the model selects, and each decision is fed back into the model 5. **Only the best-fit leads get a paid email lookup.** A confidence gate rations a work-email resolution (one credit per verified hit); a hit routes the lead into **agentic email** — an AI agent sends a personalized opener from your mailbox, then reads replies and runs multi-turn follow-up The point of the scoring layer is cost: searching the licensed source is free, so the system can afford to look at a lot and spend paid lookups only on the best fits. *(The learning loop is an active experiment — it is not yet shown to beat picking at random, and no claim is made that it does.)* **Why choose OpenOutreach?** - 🧠 **Autonomous lead discovery** — No contact lists needed; AI finds your ideal customers from licensed data - 📧 **Email-first outreach** — Resolves a work email per qualified lead and sends from **your own mailbox**, at email volume - 🛡️ **Zero platform-ToS surface** — Browserless, no social-network account, no scraping — nothing to get banned - 💾 **Self-hosted + full data ownership** — Everything runs locally; browse your CRM in a web UI - 🐳 **One-command setup** — Dockerized deployment, interactive onboarding - ✨ **AI-powered messaging** — LLM-generated personalized outreach and agentic replies (bring your own model) Perfect for founders, sales teams, and agencies who want powerful automation **without account bans or subscription lock-in**. --- ## 💸 How OpenOutreach Stays Free OpenOutreach sends email from a mailbox **you own and control**, under your own sending identity. It sends **two kinds** of email, and you should know about both before you run it: - **Your outreach** — personalized emails to the leads *you* target, on your behalf, as part of your own campaigns. This is the whole point of the tool. - **A promotion for OpenOutreach itself** — if you run a **freemium** campaign, a small, maintainer-configured fraction of your sending (`acti
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3df51c4a86d0f530, topic:agentic, topic:agentic-workflow, desc:agentic