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docs: Move experiment_overview &Modify mkdocs.yml
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3 changed files with 40 additions and 38 deletions
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---
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order: 1
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---
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### 🌍 [Appworld Experiment](cookbook/appworld/quickstart.md)
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### 🌍 [Appworld Experiment](appworld/quickstart.md)
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We tested ReMe on Appworld using qwen3-8b:
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@ -12,13 +15,13 @@ Pass@K measures the probability that at least one of the K generated samples suc
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score=1).
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The current experiment uses an internal AppWorld environment, which may have slight differences.
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You can find more details on reproducing the experiment in [quickstart.md](cookbook/appworld/quickstart.md).
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You can find more details on reproducing the experiment in [quickstart.md](appworld/quickstart.md).
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### 🧊 [Frozenlake Experiment](./cookbook/frozenlake/quickstart.md)
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### 🧊 [Frozenlake Experiment](frozenlake/quickstart.md)
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| without ReMe | with ReMe |
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|:-------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------:|
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| <p align="center"><img src="figure/frozenlake_failure.gif" alt="GIF 1" width="30%"></p> | <p align="center"><img src="figure/frozenlake_success.gif" alt="GIF 2" width="30%"></p> |
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| without ReMe | with ReMe |
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|:------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------:|
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| <p align="center"><img src="../figure/frozenlake_failure.gif" alt="GIF 1" width="30%"></p> | <p align="center"><img src="../figure/frozenlake_success.gif" alt="GIF 2" width="30%"></p> |
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We tested on 100 random frozenlake maps using qwen3-8b:
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@ -27,9 +30,9 @@ We tested on 100 random frozenlake maps using qwen3-8b:
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| without ReMe | 0.66 |
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| with ReMe | 0.72 **(+6.0%)** |
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You can find more details on reproducing the experiment in [quickstart.md](cookbook/frozenlake/quickstart.md).
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You can find more details on reproducing the experiment in [quickstart.md](frozenlake/quickstart.md).
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### 🔧 [BFCL-V3 Experiment](./cookbook/bfcl/quickstart.md)
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### 🔧 [BFCL-V3 Experiment](bfcl/quickstart.md)
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We tested ReMe on BFCL-V3 multi-turn-base (randomly split 50train/150val) using qwen3-8b:
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@ -22,18 +22,17 @@ show_datetime: true
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</p>
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---
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ReMe provides AI agents with a unified memory system—enabling the ability to extract, reuse, and share memories across
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users, tasks, and agents.
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```
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Personal Memory + Task Memory = Agent Memory
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```
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!!! info "Personal Memory + Task Memory = Agent Memory"
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Personal memory helps "**understand user preferences**", while task memory helps agents "**perform better**".
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---
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## ✨ Architecture Design
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## Architecture Design
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<p align="center">
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<img src="figure/reme_structure.jpg" alt="ReMe Logo" width="100%">
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@ -41,31 +40,32 @@ Personal memory helps "**understand user preferences**", while task memory helps
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ReMe integrates two complementary memory capabilities:
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#### 🧠 **Task Memory/Experience**
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!!! note "Task Memory/Experience"
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Procedural knowledge reused across agents
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---
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- **Success Pattern Recognition**: Identify effective strategies and understand their underlying principles
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- **Failure Analysis Learning**: Learn from mistakes and avoid repeating the same issues
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- **Comparative Patterns**: Different sampling trajectories provide more valuable memories through comparison
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- **Validation Patterns**: Confirm the effectiveness of extracted memories through validation modules
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Procedural knowledge reused across agents
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Learn more about how to use task memory from [task memory](task_memory/task_memory.md)
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- **Success Pattern Recognition**: Identify effective strategies and understand their underlying principles
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- **Failure Analysis Learning**: Learn from mistakes and avoid repeating the same issues
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- **Comparative Patterns**: Different sampling trajectories provide more valuable memories through comparison
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- **Validation Patterns**: Confirm the effectiveness of extracted memories through validation modules
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#### 👤 **Personal Memory**
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Learn more about how to use task memory from [task memory](task_memory/task_memory.md)
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Contextualized memory for specific users
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!!! note "Personal Memory"
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- **Individual Preferences**: User habits, preferences, and interaction styles
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- **Contextual Adaptation**: Intelligent memory management based on time and context
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- **Progressive Learning**: Gradually build deep understanding through long-term interaction
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- **Time Awareness**: Time sensitivity in both retrieval and integration
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Contextualized memory for specific users
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Learn more about how to use personal memory from [personal memory](personal_memory/personal_memory.md)
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- **Individual Preferences**: User habits, preferences, and interaction styles
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- **Contextual Adaptation**: Intelligent memory management based on time and context
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- **Progressive Learning**: Gradually build deep understanding through long-term interaction
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- **Time Awareness**: Time sensitivity in both retrieval and integration
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---
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Learn more about how to use personal memory from [personal memory](personal_memory/personal_memory.md)
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## 🛠️ Installation
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## Installation
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### Install from PyPI (Recommended)
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@ -95,7 +95,7 @@ FLOW_EMBEDDING_BASE_URL=https://xxxx/v1
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---
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## 🚀 Quick Start
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## Quick Start
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### HTTP Service Startup
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@ -303,14 +303,13 @@ fetch("http://localhost:8002/retrieve_personal_memory", {
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---
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## 📚 Resources
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-
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## Resources
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- **[Personal memory](personal_memory/personal_memory.md)** & **[Task memory](task_memory/task_memory.md)** : Operators used in personal memory and task memory, You can modify the config to customize the pipelines.
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- **[Example Collection](cookbook/experiment_overview.md)**: Real use cases and best practices
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- **[Library](./library/library.md)**: Directly use existing task memory/experience for your tasks, and you can also contribute more task memory/experience to us.
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- **[Contribution](contribution.md)**: welcome to your contributions!
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- **[Vector Storage Setup](vector_store_api_guide.md)**: Configure local/vector databases and usage
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- **[MCP Guide](mcp_quick_start.md)**: Create MCP services
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- **[personal memory](personal_memory/personal_memory.md)** & **[task memory](task_memory/task_memory.md)** : Operators used in personal memory and task memory, You can modify the config to customize the pipelines.
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- **[Example Collection](./experiment_overview.md)**: Real use cases and best practices
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- **[Library](./library/library.md)**: Directly use existing task memory/experience for your tasks, and you can also contribute more task memory/experience to us.
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- **[Contribution](contribution.md)**: welcome to your Contributions!
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---
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@ -34,13 +34,13 @@ nav:
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- Vector Store: vector_store_api_guide.md
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- Experimental Tutorials:
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- Overview: experiment_overview.md
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- Overview: cookbook/experiment_overview.md
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- AppWorld: cookbook/appworld/quickstart.md
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- BFCL: cookbook/bfcl/quickstart.md
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- FrozenLake: cookbook/frozenlake/quickstart.md
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- Contributions: contribution.md
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- Contribution Guide: contribution.md
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plugins:
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- search
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