<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
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Updated
Jan 22, 2025 - Python
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways
A personal AI assistant for everyone
A fast and minimal framework for building agentic systems
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
The first autonomous computer program that can do anything to earn money without human operators.
An all-new Language Model That Processes Ultra-Long Sequences of 100,000+ Ultra-Fast
BabyAGI-🦙: Enhanced for Llama models (running 100% local) and persistent memory, with smart internet search based on BabyCatAGI and document embedding in langchain based on privateGPT
OMNI: Open-endedness via Models of human Notions of Interestingness
A decoupled, generative, unsupervised, multimodal neural architecture.
An Artificial Life simulator for Investigating Noogenesis
A Non-Axiomatic Reasoning System implemented in Python
AGI has been achieved externally
Benchmarking general decision-making with open & random worlds
The official github repo for MixEval-X, the first any-to-any, real-world benchmark.
Implementation of the SOTA Transformer architecture from PaLM - Scaling Language Modeling with Pathways in JAX/Flax
Artificial Superintelligence Architecture (ASI/AGI): Gyroscopic Alignment Models Lab
[NeurIPS 2025] AGI-Elo: How Far Are We From Mastering A Task?
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