Search Results for "ai code agent"
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Showing 73 open source projects for "ai code agent"
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Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
...The framework follows the open Agent Skills standard and works with multiple AI development environments including Claude Code, Cursor, and Codex. Its primary goal is to reduce the friction of scientific computing by giving AI agents structured access to specialized libraries, databases, and research pipelines. Overall, the repository acts as a modular capability layer that transforms general AI agents into domain-aware computational scientists. -
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LabClaw
Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)
LabClaw is an open-source AI experimentation and agent orchestration platform designed to help developers build, test, and iterate on complex autonomous workflows in a controlled and modular environment. It provides a framework for composing multiple tools, prompts, and execution steps into structured pipelines that can be reused and evaluated across different scenarios. -
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HomeRobot
Mobile manipulation research tools for roboticists
HomeRobot is an open source robotics framework developed by Facebook Research (Meta AI) that provides a complete software stack for mobile manipulation in real-world and simulated environments. Designed for low-cost robots such as the Hello Robot Stretch, HomeRobot enables agents to perceive, navigate, and interact with their surroundings through vision and manipulation. The system focuses on Open Vocabulary Mobile Manipulation (OVMM) — a challenging task in which a robot must explore an... -
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BioEmu
Inference code for scalable emulation of protein equilibrium ensembles
Biomolecular Emulator (BioEmu for short) is a model that samples from the approximated equilibrium distribution of structures for a protein monomer, given its amino acid sequence. By default, unphysical structures (steric clashes or chain discontinuities) will be filtered out, so you will typically get fewer samples in the output than requested. The difference can be very large if your protein has large disordered regions, which are very likely to produce clashes. BioEmu outputs structures... -
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AlphaGenome
Programmatic access to the AlphaGenome model
The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can... -
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Surya
Implementation of the Surya Foundation Model for Heliophysics
Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture,... -
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RobotsTxt
The repository contains Google's robots.txt parser
This is a high-performance, production-tested library for parsing and evaluating robots.txt rules against crawler user agents. It implements the core semantics of the Robots Exclusion Protocol: user-agent sections, Allow/Disallow directives, wildcard handling, and precedence rules. The code is optimized for speed and low memory so large crawls can evaluate millions of URLs quickly. It also focuses on correctness—edge cases like overlapping patterns and longest-match resolution are handled consistently. Consumers integrate it to decide whether a specific URL may be fetched by a particular bot name and to respect crawl-delay or sitemaps hints where applicable. ... -
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alphageometry
AI-driven neuro-symbolic solver for high-school geometry problems
AlphaGeometry, developed by Google DeepMind, is a theorem-proving system that combines symbolic reasoning with deep learning to solve challenging geometry problems, such as those found in mathematical Olympiads. The repository provides the full implementation of DDAR (Deductive Difference and Abductive Reasoning) and AlphaGeometry, two automated geometry solvers described in the 2024 Nature paper “Solving Olympiad Geometry without Human Demonstrations.” AlphaGeometry integrates a symbolic... -
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Conscious Artificial Intelligence
It's possible for machines to become self-aware.
This project is a quest for conscious artificial intelligence. A number of prototypes will be developed as the project progresses. This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3... -
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EcoLab is a C++ based Agent Based Modelling system, with emphasis on high performance computing for scaling to large simulations.
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The Mars Simulation Project is an open source Java project to create a simulation of future human settlement on the planet Mars. See https://github.com/mars-sim/mars-sim for the LATEST issues/wiki/code change
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PDPBioGen
Multi-Scale Quantum Biological Integration Framework for Tissue Regene
PDPBioGen: (Pathway-Disease-Phenotype Biogen) Multi-Scale Quantum Biological Integration Framework for Tissue Regeneration Research Research Framework Data-Simulation Validation-Pending 🔬 Scientific Overview PDPBioGen is an experimental computational framework that explores the intersection of quantum physical principles with multi-scale biological modeling. This research platform implements theoretical foundations for closed-loop biological optimization using anomalous signatures... -
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No-code system is for the visual creation of structural-functional models and the automatic generation of R language simulation models. The program can be used to describe information, production, organizational, and other processes. For graphical representation, the EdPM/EPM notation is used, which allowed us to implement: - structural-functional modeling using graphical methods; - the study of the efficiency of structural-functional models using simulation methods, that allow (e.g. unlike Petri nets) to process queries in groups, which is important for the study of the efficiency of using such methods as volumetric calendar planning and AI methods in process activities, since the operating time of these methods depends on the number of parameters and changes nonlinearly; - the study of multiprocess systems; - the results were obtained, that allow you to find efficient topologies of structural-functional models.
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Parallel and Distributed Process System
OmniSim simulates parallel and distributed processing systems
Parallel and Distributed Process OmniSim Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for... -
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AirSim
A simulator for drones, cars and more, built on Unreal Engine
AirSim is an open-source, cross platform simulator for drones, cars and more vehicles, built on Unreal Engine with an experimental Unity release in the works. It supports software-in-the-loop simulation with popular flight controllers such as PX4 & ArduPilot and hardware-in-loop with PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. AirSim's development is oriented towards the goal of creating a... -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
...In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. JAS-mine source code can be found on GitHub, with the core repository at: https://github.com/jasmineRepo/JAS-mine-core and the GUI repository at: https://github.com/jasmineRepo/JAS-mine-gui -
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Simultra
Multiagent simulator of road traffic in Qt/C++ and OpenStreetMap.
Simultra is an open-source, hybrid road traffic simulator designed to handle large roadmaps in real-time. It combines microscopic and mesoscopic simulations into one multiagent hybrid simulator. The large-scale maps are modelled mesoscopically in real-time, and the complex traffic interactions benefit from detailed agent-based microscopic simulations. To resolve the concurrency issues within the maps representation and the meso-micro transitions, Simultra combines an event-based mesoscopic... -
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...
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Library to help the creation of the dynamic systems, like simulators or games. Key word : 3D Rendering, Multi-Agent system, Collision detection, Game
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo/myra -
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MATSim is a framework for building multi-agent transport simulations. MATSim has moved to GitHub: https://github.com/matsim-org/matsim Source code and newer releases are now hosted at GitHub!
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Repast
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/ -
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smartblob
tiny code, html webcam game or plug brain in each blob, java server
...I'm planning a huge multiplayer world, some blobs played by people holding a bendable loop game controller (tape a 1 meter cut of thick extension cord into a loop) in front of webcam and bend it to bend your blob on screen, and other blobs controlled by AI. This is a game for general AI research in a fun way people can do together. The physics and vision algorithm is half working in version 0.3.0. The gameplay is better experienced in 0.2 which is controlled with the mouse so you dont have enough freedom of movement compared to webcam. This small file contains its own source code including occamserver, a tiny general java server I built which I'll adjust to allow http streaming connections to stay open for faster ajax than a new web call each time. ... -
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JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
