About Agentic AI
Agentic AI is an MCP server published by mahmoudrabie in the RAG category: agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains.
The repository has 161 stars and 6 forks, with the last commit yesterday. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/mahmoudrabie/agentic-aiThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Agentic AI
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 3 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
2 checks have not been run yet.
README
Agentic AI Research Radar
300+ curated agentic AI papers, benchmarks, frameworks, and real-world systems across 24 domains.
Start with Frameworks | Explore Security | Browse Research | Contribute a Resource
Why This Repo
Agentic AI moves fast, and useful work is scattered across papers, code repositories, benchmark releases, technical posts, and domain-specific case studies. This repo tracks high-signal work in one place so builders and researchers can quickly find:
- frameworks and orchestration patterns for building agents
- evaluation, testing, and benchmark resources
- security, safety, and governance research
- domain applications in healthcare, Physical AI/robotics, software engineering, IoT, education, and more
If this saves you research time, starring the repo helps more builders discover it.
Suggested Paths
| Path | Follow these domains |
|---|---|
| Core AI & Cognition | Foundation Models, Reasoning, Planning, Vision, Recommendation |
| Engineering, DevTools & Frameworks | Software Engineering, Testing, Framework, Automation |
| Applied Industry & Civic Domains | Healthcare, Security, OT/IoT, Smart Cities, Transportation, Supply Chain |
| Hardware, Physical Systems & Networks | Physical AI/Robotics, Hardware Design, Design, Networking, Blockchain |
| Specialized Ecosystems, Learning & Ethics | Research, Education, Gaming, Ethics and Safety |
Domain Index
| Domain | Researches | Focus |
|---|---|---|
| 🔬 Research | 65 | AI scientists, deep research, autonomous discovery |
| ⚙️ Framework | 63 | Agent runtimes, memory, tools, orchestration |
| 🛡️ Security | 54 | Prompt injection, red teaming, cyber agents, defenses |
| 🧠 Reasoning | 25 | Inference, deliberation, cognitive architectures |
| 🧪 Testing | 24 | Benchmarks, harnesses, evaluation methodology |
| 💊 Healthcare | 16 | Medical agents, diagnosis, pharma, biomedical research |
| 💻 Software Engineering | 15 | Coding agents, debugging, refactoring, code review |
| ⚡ Automation | 15 | Process automation and workflow optimization |
| 📡 Networking | 9 | Self-healing networks and routing |
| 👁️ Vision | 8 | Visual agents and multimodal grounding |
| 🤖 Physical AI/Robotics | 8 | Physical AI, embodied agents, and robot systems |
| 🤖 Foundation Models | 8 | Agentic capabilities in foundation models |
| 🔧 Hardware Design | 6 | EDA, chip design, verification |
| ⚖️ Ethics and Safety | 6 | Alignment, fairness, trust, governance |
| 🏭 OT/IoT | 6 | Industrial systems and device control |
| 🎯 Recommendation | 5 | Personalization and proactive discovery |
| 🌆 Smart Cities | 5 | Urban operations and civic systems |
| ⛓️ Blockchain | 4 | Decentralized agents and secure transactions |
| 🎮 Gaming | 4 | NPCs, simulation, procedural content |
| 📐 Design | 3 | Generative and collaborative design |
| 🚦 Transportation | 2 | Autonomous vehicles and fleet management |
| 📋 Planning | 2 | Multi-step decision making and goal assignment |
| 🎓 Education | 1 | Tutoring and personalized learning |
| 📦 Supply Chain | 1 | Routing, inventory, logistics optimization |
Curation Standard
The repo is moving toward GitHub-native, canonical resource links:
- Primary links should point to the paper, code repository, benchmark, docs, or project page.
- LinkedIn/X posts are useful as commentary, but should be secondary links.
- Titles should be plain readable text.
- Resources should be placed in the most relevant domain and avoid duplicates.
See CONTRIBUTING.md for the full contribution checklist. See CURATION.md for the detailed resource quality bar and link-priority rules.
Author
Mahmoud Rabie
README fetched from the repository 3 hours ago. The original is authoritative.