Search Results for "decision"
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Showing 82 open source projects for "decision"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Markdown Any Decision Records
Markdown Architectural Decision Records
...For some decisions, these bits of information could not be enough. Therfore, it is possible to “unpack” the decision. This is done in the presented longer version of the ADR. -
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. -
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TradingAgents
Chinese Financial Trading Framework Based on Multi-Agent LLM
TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a modern development environment and commonly paired with containerized backends, configuration files, and service components. It also pays attention to distribution and misuse risks, clearly warning users about unauthorized commercial repackaging and stating that commercial use requires explicit authorization while personal use is open. -
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Matter AI
Matter AI is open-source AI Code Reviewer Agent
Matter AI is an AI-powered platform designed to enhance productivity through automated content generation, data analysis, and decision support. It leverages machine learning models to process text, analyze patterns, and generate insights, making it suitable for businesses looking to optimize data-driven decision-making. Matter AI integrates with various data sources and provides customizable AI workflows tailored to different industries. -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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julep
A new DSL and server for AI agents and multi-step tasks
Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios. -
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Agent Executor (AX)
Google's open source distributed agent runtime
Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a single fixed estimator, making it useful for researchers who want to experiment with different utility functions and optimization setups. ax is especially relevant for machine learning and econometrics workflows that need scalable, differentiable approaches to choice modeling. ... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
...Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work. -
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ACE-Step UI
The Ultimate Open Source Suno Alternative
ACE-Step UI is a frontend interface designed to visualize and interact with step-based processes, often used in AI workflows or multi-stage pipelines. It provides a structured way to display sequences of actions, decisions, and outputs in a clear and interactive format. The interface is useful for debugging, monitoring, or presenting step-by-step execution of complex systems. It supports dynamic updates, allowing users to observe how processes evolve in real time. The project emphasizes... -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
nuwa-skill is an AI-oriented project focused on defining, managing, and executing modular “skills” that can be used by intelligent agents or automation systems. It provides a framework for organizing capabilities into reusable units that can be invoked dynamically depending on context or user input. The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. It emphasizes modularity... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Zeebe
Distributed Workflow Engine for Microservices Orchestration
Automate processes at scale with unprecedented performance and resilience. Zeebe is the workflow and decision engine that powers Camunda Platform 8. Zeebe’s cloud-native design provides the performance, resilience, and security enterprises need to future-proof their process orchestration efforts. Zeebe distributes data across all brokers in a cluster with storage directly on the server filesystem. If one broker goes down, another can replace it with no data loss. -
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Cloud Native Landscape
The Cloud Native Interactive Landscape filters
...It includes strict contribution guidelines to maintain consistency and ensure that listed projects meet certain criteria, such as community adoption and relevance. The landscape is widely used as a reference by engineers, architects, and decision-makers when evaluating cloud-native technologies. -
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PM Skills Marketplace
100+ agentic skills, commands, and plugins
...The project organizes information in a way that makes it easy to navigate different skill domains, offering actionable insights rather than purely theoretical descriptions. It emphasizes real-world application, helping users understand how to approach common product challenges and decision-making processes. The repository also serves as a reference hub, enabling users to revisit frameworks and best practices as needed. It reflects a growing trend of codifying professional skills into reusable and accessible formats. -
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Synthea Patient Generator
Synthetic Patient Population Simulator
...Synthetic data establishes a risk-free environment for Health IT development and experimentation. This includes the evaluation of new treatment models, care management systems, clinical decision support, and more. -
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Tiled
Flexible level editor
...Tiled was originally written in Java. In 2008, work began to develop a faster, better looking, and easier-to-use version of Tiled based on the Qt framework. This decision was made as the Qt framework has a greater feature set than is offered by the standard Java libraries. Before you can compile Tiled, you must ensure the Qt (>= 5.6) development libraries have been installed as well as the Qbs build tool. -
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OWL
Optimized Workforce Learning for General Multi-Agent Assistance
...Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across domains. OWL delivers state-of-the-art performance on benchmarks like GAIA and emphasizes real-time decision-making, web automation, rich search integration, document parsing, and multi-tool workflows, making it suitable for tasks ranging from information retrieval to interactive automation. -
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Git Updater
This WP plugin will update GitHub, Bitbucket, GitLab, etc.
...Programming is a great creative outlet. As the Git Updater family of products has grown more developers are using it in their workflow and support requests are increasing. I made a decision to rebrand and monetize it. -
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Blue Whale Configuration Platform
Blue Whale smart cloud configuration platform
...From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner. The open PaaS has a powerful development framework and scheduling engine, as well as a complete operation and maintenance development training system, which helps the rapid transformation and upgrading of operation and maintenance. ... -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
...The project emphasizes iterative learning, allowing systems to evolve over time through repeated evaluation and adjustment. It can be applied to areas such as content generation, decision-making, and personal productivity systems. The framework encourages structured reflection and optimization, ensuring that each iteration builds upon previous results. It is particularly useful for experimenting with autonomous improvement processes in AI workflows. Overall, it provides a practical model for implementing continuous optimization in AI-driven systems. -
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bu-agent-sdk
An agent is just a for-loop
...At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. This lightweight design means developers can rapidly prototype AI agent behavior, test custom tools, and integrate models like Anthropic’s Claude with minimal overhead. -
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Substrate
An Open-source Framework for Human Understanding, Meaning, Progress
...The project invites crowdsourced contribution and is structured as modular lists of object types that can interlink and form larger networks of thought. While still early, it reflects a philosophical stance: that in order to progress we must first clarify the objects and relations of meaning, belief, and decision. -
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Django Rules
Awesome Django authorization, without the database
rules is a tiny but powerful app providing object-level permissions to Django, without requiring a database. At its core, it is a generic framework for building rule-based systems, similar to decision trees. It can also be used as a standalone library in other contexts and frameworks. Versatile. Decorate callables to build complex graphs of predicates. Predicates can be any type of callable -- simple functions, lambdas, methods, callable class objects, partial functions, decorated functions, anything really. A good Django citizen. ... -
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
Fully open source, cloud-native, scalable, micro streaming, and complex event processing system capable of building event-driven applications for use cases such as real-time analytics, data integration, notification management, and adaptive decision-making. Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. ... -
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CRI-O
Open Container Initiative-based implementation of Kubernetes Container
...This allows CRI-O to decouple from the Kubernetes release cycle and have enough flexibility when it comes to implementing new features. Every feature to be backported will be a case-by-case decision of the community. -
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Talisman
Talisman validates the outgoing changeset
...It validates the outgoing changeset for things that look suspicious - such as potential SSH keys, authorization tokens, private keys etc. Talisman can also be used as a repository history scanner to detect secrets that have already been checked in, so that you can take an informed decision to safeguard secrets. We recommend installing Talisman as a pre-commit git hook template, as that will cause Talisman to be present, not only in your existing git repositories, but also in any new repository that you 'init' or 'clone'. Installation of Talisman globally does not clobber pre-existing hooks on repositories. If the installation script finds any existing hooks, it will only indicate so on the console. ... -
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AI4U
Multi-engine plugin to specify agents with reinforcement learning
AI4U is a multi-engine plugin (Godot and Unity) that allows you to design Non-Player Characters (NPCs) of games using an agent abstraction. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learning community specifically and by the Artificial Intelligence community in general. Reinforcement learning promises to overcome traditional navigation mesh mechanisms in games and to provide more autonomous...
