Top AI Repos — open-source AI, indexed and scored
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.
| Date | Stars |
|---|---|
| 2026-07-31 | 790 |
| 2026-08-05 | 792 |
| 2026-08-06 | 792 |
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<h1 align="center"> <img src="readme_en/MIA.png" alt="MIA Title" width="120"/><br>Memory Intelligence Agent </h1> <div align="center"> [](https://arxiv.org/pdf/2604.04503) [](https://huggingface.co/LightningCreeper/MIA) [](https://huggingface.co/datasets/LightningCreeper/MIA) [](https://www.python.org/downloads/release/python-3100/) [](https://opensource.org/licenses/MIT) [](https://sii-group.com/fr-FR/sii-sud-ouest) [[English](./README.md)] [[Chinese](./README_CN.md)] </div> <p align="center"><i>An Agent Memory Framework Designed For Deep Research Agents</i></p> ## 🚀 Latest News - **[April 14, 2026]**: 💡 Released the user-facing streaming TTRL code, supporting dynamic data loading and customizable rewards. - **[April 3, 2026]**: 🦞 Guess what? OpenClaw skill MIA-v1 has landed on Clawhub. Download now and see the magic of memory for yourself! - **[April 1, 2026]**: 🌈 Full stack is here. Whole Training and Evaluation Codebase, Models and Datasets have been published. Check them out! ## 📌 Overview Are you tired of deep research agents that "understand" everything but "remember" nothing? Does your agent struggle with diluted attention in sea of long-form text? Are you frustrated by reasoning failures caused by noisy, irrelevant memories? Do you find your agent memory crippled by skyrocketing computational costs and the logistical nightmare of ever-growing context histories? Most importantly: Is your agent stuck memorizing "what" the result is, while completely failing to learn "how" to get there? If so, you are witnessing the fundamental bottleneck of current agent memory: an incompetent Planner retrieving memories from bloated memory and using non-comprehensive in-context prompts to guide an unprepared Executor in conducting deep research. **MIA (Memory In Intelligence Agent)** is a memory framewoek designed for deep research agents. It is developed by a joint team from the **Shanghai Institute of Intelligence (SII)** and **East China Normal University (ECNU)**. MIA is a paradigm-shifting framework designed to transform agents from "passive record-keepers" into "active strategists." MIA replaces the chaotic "memory dump" with a sophisticated **Manager-Planner-Executor** architecture: - **The Manager**: Ultimate librarian that optimizes memory storage to eliminate bloat. - **The Planner**: Tactical brain that doesn't just "recall," but evolves its strategy via Continual Test-Time Learning. - **The Executor**: Precision instrument that interprets and follows complex research blueprints with zero friction. 🌟 **Key Highlights** - 🧬 **From Growth to Evolution**: MIA moves beyond "ever-growing contexts" to strategy-oriented wisdom. By establishing a collaborative loop between parametric and non-parametric memories, agents autonomously evolve in complex, open-world scenarios. - 🔬 **Seamless Synergy via RL**: MIA breaks the stagnation of static memory through an Alternative Reinforcement Learning paradigm. This ensures the Manager, Planner, and Executor act as one cohesive mind, achieving fluid multi-agent cooperation that prior works lack. - 🧠 **Dynamic Intelligence**: Unlike static models, MIA features Continual Test-Time Learning, allowing the Planner to adapt and optimize its research strategies on-the-fly during inference. ## 🏆 Performance <h1 align="center"><img src="readme_en/Performance.png" alt="" width="1000"/></h1> **📊 Experimental Analysis** Our comprehensive evaluation across multiple benchmarks demonstrates that
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8448082eaa8d1bf1, llm:Repository name and description: 'Memory Intelligence Agent' (no topics or README provided).
matched fp:8448082eaa8d1bf1, llm:Repository name and description: 'Memory Intelligence Agent' (no topics or README provided).
matched fp:8448082eaa8d1bf1, llm:Repository name and description: 'Memory Intelligence Agent' (no topics or README provided).