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🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.
Provides numerous sensor models designed to generate realistic data from simulation environments.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
Fully automatic censorship removal for language models
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
CORE is a governance runtime for autonomous AI systems. It enforces constitutional rules during execution, prevents governance bypass, and creates auditable authority chains for agent actions acros…
Find your agents errors be fore your real users do
The official Python SDK for Model Context Protocol servers and clients
Desktop Extensions: One-click local MCP server installation in desktop apps
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
A clean, modular SDK for building AI agents with OpenHands V1.
World's First Full-Chinese Ray-Ban Meta AI Assistant - 全球首个全中文 Ray-Ban Meta 智能眼镜 AI 助手
Use Large Language Models (LLM) in Google Sheets
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Robust Speech Recognition via Large-Scale Weak Supervision
Fully open reproduction of DeepSeek-R1
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A Python library that helps data scientists to infer causation rather than observing correlation.
Vizro is a low-code toolkit for building high-quality data visualization apps.
Generative AI Application for searching large PDF documents
Firefly III: a personal finances manager
Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)