Search Results for "decision"
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Showing 12 open source projects for "decision"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Utopia
World's first open-source enterprise world model
...Hybrid search and chat work across documents and mounted databases through OpenAI-compatible models. Temporal Datalog rules derive new facts, while conflict detection and review queues surface contradictions or uncertain merges. Role-based permissions and a decision ledger make changes traceable for enterprise use. -
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Ralph Orchestrator
An improved implementation of the Ralph Wiggum technique
...The system emphasizes modularity and composability, allowing developers to design workflows as reusable building blocks that can be combined or extended as needed. It supports asynchronous execution and task coordination, enabling efficient handling of multi-step processes that involve decision-making and conditional branching. Ralph Orchestrator is particularly useful for building agent-based systems, automation pipelines, and AI-driven applications that require coordination across multiple services. It also includes logging and monitoring capabilities to track workflow execution and debug issues effectively. -
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Zinnia
Runtime for worker nodes executing modules
Zinnia is a runtime for Filecoin Station modules. It provides a sandboxed environment to execute untrusted code on consumer-grade computers. Zinnia is a sandboxed and resource-limited runtime for distributed workers. This crate provides the zinnia executable to run modules locally, e.g. while developing. -
4
llmfit
157 models, 30 providers, one command to find what runs on hardware
...By presenting clear performance estimates and compatibility guidance, the project reduces the trial-and-error typically involved in local LLM experimentation. Overall, llmfit serves as a practical decision assistant for developers who want to run language models efficiently on their own machines. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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5
Phantasm
Toolkits to create a human-in-the-loop approval layer
Phantasm offers toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents' workflows in real-time, ensuring safety and reliability in AI operations. -
6
claurst
Your favorite Terminal Coding Agent, now in Rust
...The project likely explores how agents can be designed to handle complex workflows through modular components and clearly defined execution steps. It may include abstractions for managing context, decision-making, and interaction with external tools, enabling agents to perform multi-step tasks efficiently. The architecture suggests a focus on flexibility, allowing developers to adapt the system to different use cases or domains. It is likely intended as a lightweight but extensible platform for experimenting with agent behavior and orchestration. ... -
7
Edgee
AI gateway with token compression for Claude Code, Codex, and more
...The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or external signals. It integrates AI capabilities into edge environments, making it possible to perform inference, personalization, and decision-making at the point of interaction. Edgee is optimized for performance and scalability, leveraging distributed execution to handle high volumes of requests efficiently. It also emphasizes developer experience, providing tools and abstractions that simplify deployment and orchestration across edge nodes. -
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Rust Port
The Rust workspace under rust/ is the current systems-language port
...The project emphasizes agent-based execution, where tasks are broken down into steps and handled iteratively, simulating how modern AI coding tools operate in production environments. It is often used as a sandbox for exploring how large-scale coding agents behave, including their decision-making processes, tool usage, and workflow orchestration. The system likely includes abstractions for handling file systems, executing commands, and maintaining context across sessions, allowing for more persistent and intelligent coding interactions. -
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HASH
The best way to use and work with blocks
This is HASH's public monorepo which contains our public code, docs, and other key resources. HASH is a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways. HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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10
Ockam
Orchestrate end-to-end encryption, mutual authentication
...To build trust for data-in-motion, applications need end-to-end guarantees of data authenticity, integrity, and confidentiality. To be private and secure by-design, applications must have granular control over every trust and access decision. Ockam allows you to add these controls and guarantees to any application. We are passionate about making powerful cryptographic and messaging protocols simple and safe to use for millions of builders. Create a mutually authenticated and end-to-end encrypted secure channel between two Ockam nodes. -
11
ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
...Train a machine learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file. -
12
Zemeroth
A minimalistic 2D turn-based tactical game in Rust
Zemeroth is a minimalistic, turn-based tactical game written in Rust that focuses on small-scale combat scenarios with a strong emphasis on strategic decision-making and emergent gameplay. It features hexagonal grid-based maps where players control a limited number of units, typically between three and six, in short, self-contained battles. The game is designed to simulate a digital tabletop experience, with mechanics such as reaction attacks, action interruption, and dynamic movement patterns that create highly interactive encounters. ...
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