Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/eracle/OpenOutreach?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/eracle/OpenOutreach?utm_source=readme_badge) [](https://githubrepo.cloud/repo/eracle/OpenOutreach?utm_source=readme_badge) [](https://githubrepo.cloud/repo/eracle/OpenOutreach?utm_source=readme_badge)Momentum
+82
STARS · LAST 30 DAYS
3
PER DAY
#448
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +82 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +3 | +12 | +30 |
OpenOutreach gained 82 stars in the last 30 days, about 3 a day, and now has 3.3K. It is about 10 years old and has averaged roughly 327 stars a year. It ranks #448 among Python repositories and #3,091 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#5413
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
OpenOutreach has maintained a continuous presence across global trending indexes, peaking at #5413. Below is the 30-day activity profile:
💡 Overview
OpenOutreach is an open-source project written in Python: Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic, agentic-marketing. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install OpenOutreach⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
OpenOutreach coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with OpenOutreach.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install OpenOutreach using your package manager: `pip install OpenOutreach`
Initialize your project workspace or configuration file for OpenOutreach.
Import OpenOutreach into your codebase or invoke it directly from your terminal.
Execute your test suite or run `OpenOutreach --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
eracle/OpenOutreach is currently ranked #3,091 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,086 | ikawrakow/ik_llama.cpp | C++ | ★ 3.3K | Compare ↗ |
| #3,087 | bradygaster/squad | TypeScript | ★ 3.3K | Compare ↗ |
| #3,088 | vifm/vifm | C | ★ 3.3K | Compare ↗ |
| #3,088 | AtomicBot-ai/atomic-agent | TypeScript | ★ 3.3K | Compare ↗ |
| #3,090 | NVlabs/SoL-Pi | TypeScript | ★ 3.3K | Compare ↗ |
| #3,091 | eracle/OpenOutreach This Project | Python | ★ 3.3K | |
| #3,092 | HailToDodongo/pyrite64 | C++ | ★ 3.3K | Compare ↗ |
| #3,093 | vortex-data/vortex | Rust | ★ 3.3K | Compare ↗ |
| #3,094 | Tinche/aiofiles | Python | ★ 3.3K | Compare ↗ |
| #3,095 | ThinkUpLLC/ThinkUp | PHP | ★ 3.3K | Compare ↗ |
| #3,096 | dotnet/extensions | C# | ★ 3.3K | Compare ↗ |
Frequently Asked Questions
What does OpenOutreach do? +
Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
What language is OpenOutreach written in? +
The primary language is Python. Topics include: agent, agentic, agentic-marketing, agentic-workflow, automation.
Is OpenOutreach actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 0 open issues being tracked.
How many stars does OpenOutreach have? +
OpenOutreach has 3,268 stars and 601 forks on GitHub.
How does OpenOutreach rank among GitHub repositories? +
With 3,268 stars, eracle/OpenOutreach is ranked #3,091 globally across all repositories tracked on GitHubRepo and #448 among Python projects.
What license is OpenOutreach distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
