SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#745
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
SpeakerMemR1 gained 10 stars in the last 30 days, about 1 a day, and now has 112. It is about 1 year old and has averaged roughly 112 stars a year. It ranks #745 among Python repositories and #6,483 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#404
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
SpeakerMemR1 has maintained a continuous presence across global trending indexes, peaking at #404. Below is the 30-day activity profile:
💡 Overview
SpeakerMemR1 is an open-source project written in Python: SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue.
Engineered for speed, consistency, and developer ease, it solves common hurdles in conversational-memory, llm, multi-party-dialogues. 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 SpeakerMemR1⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
SpeakerMemR1 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 SpeakerMemR1.
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 SpeakerMemR1 using your package manager: `pip install SpeakerMemR1`
Initialize your project workspace or configuration file for SpeakerMemR1.
Import SpeakerMemR1 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `SpeakerMemR1 --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
2022hpsk/SpeakerMemR1 is currently ranked #6,483 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,453 | lumiis2/opportunity-tracker | Python | ★ 113 | Compare ↗ |
| #6,453 | eperez28/sonar.cool | Swift | ★ 113 | Compare ↗ |
| #6,453 | liushunqi8-hash/editaplot2026 | Python | ★ 113 | Compare ↗ |
| #6,453 | allebee/jevk5 | Python | ★ 113 | Compare ↗ |
| #6,453 | CaptureGrubEnchant/homebrew-tools-macOS | Ruby | ★ 113 | Compare ↗ |
| #6,483 | 2022hpsk/SpeakerMemR1 This Project | Python | ★ 112 | |
| #6,483 | slagyr/limelight | Java | ★ 112 | Compare ↗ |
| #6,483 | lang/unicode_utils | Ruby | ★ 112 | Compare ↗ |
| #6,483 | nothingmuch/git-svn-abandon | Shell | ★ 112 | Compare ↗ |
| #6,483 | openstreetmap/chef | Ruby | ★ 112 | Compare ↗ |
| #6,483 | geopm/geopm | C++ | ★ 112 | Compare ↗ |
Frequently Asked Questions
What does SpeakerMemR1 do? +
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
What language is SpeakerMemR1 written in? +
The primary language is Python. Topics include: conversational-memory, llm, multi-party-dialogues.
Is SpeakerMemR1 actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 0 open issues being tracked.
How many stars does SpeakerMemR1 have? +
SpeakerMemR1 has 112 stars and 13 forks on GitHub.
How does SpeakerMemR1 rank among GitHub repositories? +
With 112 stars, 2022hpsk/SpeakerMemR1 is ranked #6,483 globally across all repositories tracked on GitHubRepo and #745 among Python projects.
What license is SpeakerMemR1 distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
