# ⚙️ Framework

| Research | Links |
|----------|-----------|
| 🧠⚙️ SkillOpt: Executive Strategy for Self-Evolving Agent Skills ⚙️🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7465431635489087490-N58x?utm_source=share&utm_medium=member_desktop&rcm=ACoAAANl-ukBNmz5qhlJOrQNtSt-ajHYfLd2Bvc) · [Paper](https://arxiv.org/pdf/2605.23904) |
| FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7456338983632105472-bSzQ) · [Paper](https://arxiv.org/abs/2604.25135) |
| Skill Retrieval Augmentation (SRA) for Agentic AI | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiarchitects-forairesearchers-foraiscientists-activity-7455114675001733121-9aZ6) · [Paper](https://arxiv.org/abs/2604.24594) |
| 🧠🛠️ SkillOS: Learning Skill Curation for Self-Evolving Agents 🛠️🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7458776912698519552-6MuT?utm_source=share&utm_medium=member_desktop&rcm=ACoAAANl-ukBNmz5qhlJOrQNtSt-ajHYfLd2Bvc) · [Paper](https://arxiv.org/abs/2605.06614) |
| 🧠🧬 EvolveMem: Self-Evolving Memory Architecture via AutoResearch for LLM Agents 🧬🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7464412771447681025-gtf_) · [Paper](https://arxiv.org/pdf/2605.13941) |
| 🧠🤝 Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures 🤝🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7452438532452757504-S3OC) · [Paper](https://arxiv.org/pdf/2604.18133) |
| MEMCOLLAB: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7443299647076483072-c7Sc) · [Paper](https://arxiv.org/pdf/2603.23234) |
| OpenSage: Self-programming Agent Generation Engine | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7442661470917591042-ECiS) · [Paper](https://arxiv.org/pdf/2602.16891) |
| Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7441115053870837760-xgbb) · [Paper](https://arxiv.org/pdf/2603.11808) |
| OpenClaw-RL: Train Any Agent Simply by Talking | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7438158473130926080-tD93) · [Paper](https://arxiv.org/pdf/2603.10165) |
| Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7437219416376885248-89Jt) · [Paper](https://arxiv.org/pdf/2603.05578) |
| Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7421650912915607553-WE65) · [Paper](https://arxiv.org/pdf/2601.12307) |
| The End of Reward Engineering: How LLMs Are Redefining Multi-Agent Coordination | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7418771453292036096-zAjP) · [Paper](https://arxiv.org/abs/2601.08237) |
| LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigms | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7416147996460982272-5j2u) · [Paper](https://arxiv.org/pdf/2601.03328) |
| ROLLART: Scaling Agentic RL Training via Disaggregated Infrastructure | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7413249241504018432-3-h5) · [Paper](https://arxiv.org/pdf/2512.22560) |
| Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7403496754136096768-yLMY) · [Paper](https://arxiv.org/abs/2512.04987) |
| Beyond Pipelines: A Survey of the Paradigm Shift toward Model-native Agentic AI | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7401369993617113088-c6XP) · [Paper](https://arxiv.org/pdf/2510.16720) |
| 🤖🧠 Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning 🧠🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7398328064138579968-lJ37) · [Paper](https://arxiv.org/pdf/2511.16043) |
| EnvX: Agentize Everything with Agentic AI | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7373388885059530752-z6TY) · [Paper](https://arxiv.org/pdf/2509.08088) |
| 🧠 Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces ⚙ | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7440014928196812800-NJbf) · [Paper](https://arxiv.org/pdf/2603.06713) |
| 🦞🧠 MetaClaw: Just Talk - An Agent That Meta-Learns and Evolves in the Wild 🧠🦞 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7440756786980220928-mjAB/) · [Paper](https://arxiv.org/pdf/2603.17187) |
| 🧠🏢 ENTERPRISEOPS-GYM: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings 🏢🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7440344698923245568-YWLw) · [Paper](https://arxiv.org/pdf/2603.13594) |
| 🧠🕸️ From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents 🕸️🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7443626708483846144-FTlk) · [Paper](https://arxiv.org/pdf/2603.22386) |
| 🧠🩻 Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations 🩻🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7433594433977274368-nXPl) · [Paper](https://arxiv.org/pdf/2602.19320) |
| 🧠 Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks 🧠 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7431920669245894656-R8DQ) · [Paper](https://arxiv.org/pdf/2602.16313) |
| 🤖🧪 Scaling Agent Learning via Experience Synthesis 🧪🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7393332288606060544-vOV5) · [Paper](https://arxiv.org/pdf/2511.03773) |
| 🤖🛠 Don't Just Fine-tune the Agent, Tune the Environment 🛠🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7384643474148593664-WSqC) · [Paper](https://arxiv.org/pdf/2510.10197) |
| 🤖🧰 TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture 🧰🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7379968619448971264-KkGh) · [Paper](https://arxiv.org/pdf/2510.01279) |
| 🤖📊 METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7302757238274674689-dTDv) · [Paper](https://arxiv.org/pdf/2502.17651) |
| 🤖🎮 Agent^2: An Agent-Generates-Agent Framework for Reinforcement Learning Automation 🎮🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7376177317120954368-9cMY) · [Paper](https://arxiv.org/pdf/2509.13368) |
| 🤖🔗 TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7300372264925949953-z52Z) · [Paper](https://arxiv.org/pdf/2502.15425) |
| 🤖🌍 Towards General Agentic Intelligence via Environment Scaling 🌍🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7374671203581550592-FfZn) · [Paper](https://arxiv.org/abs/2509.13311) |
| 🤖🔧🌐 MCP-Bench: A Benchmark for Tool-Using LLM Agents on Real-World MCP Servers 🌐🔧🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7368364734833659905-YIeb) · [Paper](https://arxiv.org/pdf/2508.20453) |
| 🤖⚖️ Auto-Eval Judge: A General Agent-as-a-Judge Framework for Task Completion ⚖️🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7365408802487042048-vS5h) · [Paper](https://arxiv.org/pdf/2508.05508) |
| 🤖🌐 Salesforce MCP-Universe: A Real-World Benchmark for LLM Agents on Model Context Protocol (MCP) 🌐🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7364660589547208705-fNCp) · [Paper](https://arxiv.org/pdf/2508.14704) |
| 🤖🧬 Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models & Lifelong Agentic Systems 🧬🔁🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7365001116536791040-gZG8) · [Paper](https://arxiv.org/pdf/2508.07407) |
| 🤖📊 MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models 📊🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7352304136161275904-N2Ug) · [Paper](https://arxiv.org/abs/2507.12806) |
| 🔗🤖 Mod-X: A Modular Open Decentralized eXchange Framework for Heterogeneous Interoperable AI Agents 🔗🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7349298979911647233-T8-c) · [Paper](https://arxiv.org/abs/2507.04376) |
| 💾🤖 Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory 💾🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7331027254552014849-od4s/) · [Paper](https://arxiv.org/pdf/2504.19413) |
| 🤖🌐 Internet of Agents: Fundamentals, Applications, and Challenges 🌐🤖 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7330279828799045634-KTO6/) · [Paper](https://arxiv.org/pdf/2505.07176) |
| 🤖🧠 GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7313140862362771456-eD7H) · [Paper](https://arxiv.org/pdf/2504.00711) |
| 🤖🔧 AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7312874492781858816-_Yn1) · [Paper](https://arxiv.org/pdf/2503.23948) |
| 🤖🧠 A-MEM: Agentic Memory for LLM Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7312612236550717441-N3ri) · [Paper](https://arxiv.org/pdf/2502.12110) |
| 🤖🚀 AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7302032458277883904-K0bv) · [Paper](https://arxiv.org/pdf/2502.05957) |
| 🤖💬 Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7299995997852590080-w6FQ) · [Paper](https://arxiv.org/pdf/2502.11098) |
| 🤖🚀 Plan-over-Graph: Towards Parallelable LLM Agent Schedule | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7298695544317558784-KQ5y) · [Paper](https://arxiv.org/pdf/2502.14563) |
| ⚡🤖 Multi-Agent Collaboration in Decision-Making and Task Execution | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7291015721398996992-XLsB) · [Paper](https://arxiv.org/pdf/2404.11584) |
| ⚡🤖 Task-Completion Frameworks with R-MCTS and GPT-4 | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7288806360153018368-KH6L) · [Paper](https://arxiv.org/abs/2410.02052) |
| ⚡🤖 SOP-Agent Framework: Textual STANDARD OP Guiding AI Behavior | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7286930844286423040-BysS) · [Paper](https://arxiv.org/pdf/2501.09316) |
| ⚡🤖 HULA: Human-in-the-loop LLM-based Software Dev Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7286797411983790081-aVfJ) · [Paper](https://arxiv.org/pdf/2411.12924) |
| ⚡🤖 LLM-Based Multi-Agent Collaboration in Social & Cultural Applications | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7285926067788259328-SIvQ) · [Paper](https://arxiv.org/pdf/2501.06322) |
| ⚡🤖 Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7285891435885719552-0rsD) · [Paper](https://arxiv.org/pdf/2501.00881v1) |
