Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A fast and lightweight framework for creating decentralized agents with ease.
Multi-agent orchestration for AI coding CLIs β Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
A specification that python filesystems should adhere to.
An analysis tool for Python that blurs the line between testing and type systems.
Python interface to PROJ (cartographic projections and coordinate transformations library)
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
FlagGems is an operator library for large language models implemented in the Triton Language.
AutoPWN Suite is a project for scanning vulnerabilities and exploiting systems automatically.
Solved algorithms and data structures problems in many languages
A plugin for Flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycodestyle.
Autonomous LLM Trading Asterism β a research-only multi-agent trading platform with evidence-first research, an auditable console, Shadow simulation and explicitly authorized broker execution.
CLI wrapper for basic network utilites on Mac OS X inspired with iproute2 on Linux systems - ip command.
A Python-first runtime layer for multi-agent systems, with persistent run state, streaming execution events, and a pluggable orchestration interface.
Useful localization tools with Python API for building localization & translation systems
SchNetPack - Deep Neural Networks for Atomistic Systems
Parse BIOS/Intel ME/UEFI firmware related structures: Volumes, FileSystems, Files, etc
Agent samples built using the Strands Agents SDK.
Your AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama.
Open multi-site list manager for Unix-like systems. (ex-wMAL)
A community database for the problems on the erdosproblems.com site
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
Knee point detection in Python :chart_with_upwards_trend:
The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
ZFS autobackup is used to periodicly backup ZFS filesystems to other locations. Easy to use and very reliable.
CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems
Energy Management System
Machine learning algorithms for many-body quantum systems
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Home Assistant Integration for devices supported by the Daikin Onecta App
Simulate Functional Mock-up Units (FMUs) in Python
Python framework for short-term ensemble prediction systems.
Neat IP Address Planner - NIPAP is the best open source IPAM in the known universe, challenging classical IP address management (IPAM) systems in many areas.
Real asynchronous file operations with asyncio support.
[NeurIPS'26] MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
BGP sessions management tool
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
A research-oriented framework for building optimization-driven decision intelligence systems, integrating causal inference, risk modeling, and AI pipelines for large-scale socio-technical systems
A Comprehensive Framework for Visual SLAM Systems and Datasets
From teacher to tiles β a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
Trigger is a robust network automation toolkit written in Python that was designed for interfacing with network devices.
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
PyLops β A Linear-Operator Library for Python
Embedded systems control library for development, testing and installation
"CatchMe: Make Your AI Agents Truly Personal"
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A Python native dynamical system simulation framework in the block diagram paradigm.
Caura (formerly MemClaw) β governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Open protocol for AI agent work contracts and verifiable execution β authorization, evidence, and acceptance for multi-agent systems
A workspace and framework to build domain-specific systems for agentic knowledge work.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
a13n - An open-source library and self-hosted platform for building and running your own agent systemsβwith managed agents, memory, sandboxes, computer use, and durable execution. Commercial Friendly. Built With Love π @converge-ai-labs.