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⚡ The long-term memory system for your AI, powering ... ⚡
- 🥷 Superagents and 🤖 AI Agents
- 🗣️ AI assistants
- 🧠 LLMs
Built with GraphRAG, knowledge graphs, autonomous ai agents, latest research and a bit of magic ✨
We aim to allow AI assistants and Superagents to remember and understand:
- You & Other Humans - think: Empathetic AI assistants engaged in Conversational AI with you and other individuals they interact with.
- ≠ Not just ≠ limited context-windows, system prompts, pre-trained/fine-tuned knowledge or RAG that doesn't work.
- ✔️ Learning you, from you and for you. Everything on-the-fly.
- 🤖 📚 💡 👨 👩
- ✔️ Learning you, from you and for you. Everything on-the-fly.
- ≠ Not just ≠ limited context-windows, system prompts, pre-trained/fine-tuned knowledge or RAG that doesn't work.
- Themselves - give them: self-consciousness. They'll know why they exist, their values, goals, preferences, memories of past interactions, tools and relationships.
- ≠ Not just ≠ system prompts, prompt-engineered agent definitions with name, role, objectives, and function callings.
- ✔️ Having self-awareness that is: autonomous, dynamic, programmable, adaptable, controllable and safe.
- 🥷 🧠 🕰️ 🗣️ 🔒
- ✔️ Having self-awareness that is: autonomous, dynamic, programmable, adaptable, controllable and safe.
- ≠ Not just ≠ system prompts, prompt-engineered agent definitions with name, role, objectives, and function callings.
- Content - envision: Specialized agents being able to remember and understand any content they are exposed to.
- ≠ Not just ≠ static files from private data corpora in limited file formats
- ✔️ Processing multi-modal first-seen content in any format, streamed & static, in any language they know.
- ➡️ 💬 🎵 🎬 📄 📡
- ✔️ Processing multi-modal first-seen content in any format, streamed & static, in any language they know.
- ≠ Not just ≠ static files from private data corpora in limited file formats
- Other agents and assistants - imagine the AInet - an Internet of Agents, a new ecosystem of AI assistants, AI agents, humans and organizations of these.
- ≠ Not just ≠ pre-trained, piped agents with Human-in-the-loop (HITL)
- ✔️ Building lasting relationships with other assistants, agents, humans and organizations
- 🌐 🗣️ 🤖 👥 💻 💼
- ✔️ Building lasting relationships with other assistants, agents, humans and organizations
- ≠ Not just ≠ pre-trained, piped agents with Human-in-the-loop (HITL)
It's a promise that keeps us going 👣 and shipping ⛴️ at a lightning speed ⚡️
- A configurable MemorySystem composed of a MemoryStorage layer, MemoryTypes, and MemoryPods.
- MemoryPods: configurable Pods that allow setting up separate storage units for different memory types, providing a security isolation layer.
- Custom MemoryStorages: think KV, Graph, Vector, and other DBMSes under the hood of MemoryPods.
- MemoryTypes: support for multiple memory types, i.e., episodic memory, entity memory, working memory (WM), short-term (STM), and long-term memory (LTM), etc.
- Simple high-level ontology:
- Beings
- Events (relating to energy)
- Entities (relating to matter)
- Relationships (relating to transformations)
- Beings
- A composable system that allows:
- Building beings—think agents, assistants, robots—and commissioning them with:
- Input interfaces (Sensors)
- A memory system
- Processing functions
- Output interfaces (Tools)
- Building beings—think agents, assistants, robots—and commissioning them with:
We start small, ship, listen to feedback, break things, launch and go again.
# Install the repository
pip install aius- 🌐 (URL/Web): Visit: https://aius.co
- 💬 (Discord): Chat: https://discord.gg/cM6vFhJbWS
- ❌ (X/Twitter): Follow: https://x.com/markmbain
- 🔗 (LinkedIn): Follow: https://www.linkedin.com/company/aius-ai
- 🐙 (GitHub): Star & Fork: https://github.com/markmbain/aius
- 🐍 (PyPI): Install: https://pypi.org/project/aius/
- ⭐️ Star the repo and become one of our Stargazers
- 💬 Join our discord to chat with the growing community about designs, contribution and use cases
- Clone:
git clone git@github.com:markmbain/aius.gitand play around - 🍴 Fork, develop code, test, document, commit, create pull requests
- Create New issues
# Clone the repo
git clone git@github.com:markmbain/aius.git
cd aius
# Install dependencies
pip install poetry
poetry install --with dev
MIT License, Copyright (c) 2024 Mark Bain