🤖 Awesome AGI, ASI & Collective Intelligence
The frontier of artificial intelligence research — from AI to AGI to ASI and beyond. Curated resources for builders and researchers shaping the future of intelligence.
Understand
AI, AGI, ASI & Collective Intelligence fundamentals
4 sectionsBuild
Frameworks, Agents & Physical AI
4 sectionsInfrastructure
LLM Frameworks, RAG & Deployment
8 sectionsSafety
Alignment & Governance
Research
Papers & Learning
Suggest a Resource
Contribute to the collection
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Visual overview of how AGI, ASI, and Collective Intelligence concepts connect
Awesome AGI, ASI, and Collective Intelligence Resources 
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"The development of full artificial intelligence could spell the end of the human race... or it could be the best thing ever to happen to humanity." -- Stephen Hawking
The most comprehensive, curated collection of resources on the journey from AI to AGI to ASI and Collective Intelligence -- covering frameworks, agents, multi-agent systems, swarm intelligence, research papers, safety & alignment, books, benchmarks, conferences, and tools for builders and researchers shaping the future of intelligence.
Explore¶
| Topic | What's Inside |
|---|---|
| Understand | |
| ↳ AI, AGI, and ASI | Definitions, comparison table, DeepMind's AGI levels, state of the field |
| ↳ Collective Intelligence | Multi-agent systems, swarm intelligence, human-AI collaboration, distributed AI |
| ↳ AGI Benchmarks & Evals | ARC-AGI, SWE-bench, GAIA, GPQA, FrontierMath, saturated benchmarks |
| ↳ ASI Research | Organizations, 27 books, seminal papers, benchmarks, roadmaps |
| Build | |
| ↳ Frameworks | LAMs, MCP/A2A protocols, 30+ agent frameworks |
| ↳ Agents | Coding, research, computer-use, embodied, and enterprise agents |
| ↳ Physical AI | Humanoid robotics, VLA models, simulation, RL environments |
| ↳ Paper-to-Code | Research2Repo, PaperCoder, AI Scientist |
| Infrastructure | |
| ↳ LLM Frameworks | Orchestration, platforms, structured output, observability |
| ↳ RAG & Vector DBs | Vector databases, RAG engines, Graph RAG, embeddings |
| ↳ Data Infra | Iceberg, Spark, Delta Lake, MLflow, Ray |
| ↳ Fine-Tuning | LoRA variants, PEFT, DPO, instruction tuning |
| ↳ Deployment | vLLM, TGI, Vertex AI, Bedrock, Triton |
| ↳ Distributed Training | ColossalAI, DeepSpeed, Megatron-LM, FSDP, Accelerate |
| ↳ Compute & Hardware | GPUs, TPUs, LPUs, quantization (GPTQ/AWQ), neuromorphic, decentralized |
| ↳ Prompt Engineering | CoT, ToT, GoT, advanced techniques |
| Safety | |
| ↳ Safety & Alignment | Superalignment, RLHF, DPO, interpretability, AI governance |
| Research | |
| ↳ Papers & Blogs | 60+ papers on frontier models, reasoning, agents |
| ↳ Tutorials | Courses and hands-on learning resources |
| ↳ Conferences | 28 academic, AGI, safety, and industry events |
Contributing¶
We're building the most comprehensive AGI/ASI resource on the internet -- and we need your help. Contributions are welcome!
How to Submit Resources¶
Quick Submit: Use the 📚 Suggest a Resource form to submit new papers, frameworks, tools, or resources.
Pull Request: For direct contributions, follow these steps:
1. Fork this repository
2. Add your resource to the appropriate YAML file in the data/ directory
3. Run python3 scripts/yaml_to_docs.py to regenerate the documentation
4. Open a Pull Request with your changes
Contribution Guidelines¶
- Relevance: Focus on cutting-edge AGI, ASI, and Collective Intelligence research (preferably 2024-2026)
- Quality: Use official links (DOI, arXiv, publisher, GitHub)
- Accuracy: Ensure title, author(s), year are correct
- Descriptions: Keep descriptions concise and informative
- No Duplicates: Search the repository first to avoid duplicates
- GitHub Stars: Include star counts for repositories when available
Resource Categories¶
When submitting, choose the appropriate category: - Understand: AI/AGI/ASI concepts, benchmarks, collective intelligence - Build: Frameworks, agents, physical AI, paper-to-code tools - Infrastructure: LLM frameworks, RAG, deployment, training, hardware - Safety & Governance: Alignment research, safety techniques, governance - Research: Papers, courses, tutorials, conferences
If you find this resource useful, please give it a ⭐ on GitHub! It helps others discover it and motivates us to keep it updated as the field evolves at breakneck speed.