Search Results for "graph" - Page 7
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Showing 1441 open source projects for "graph"
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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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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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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
...ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
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agentmemory
#1 Persistent memory for AI coding agents
...The system automatically records what agents do, compresses that activity into searchable memory, and injects relevant context when a new coding session begins. It combines keyword search, vector search, confidence scoring, lifecycle management, and knowledge graph querying to retrieve useful memories without overloading the context window. The project also includes hooks, an API, import and export support, audit trails, and team sharing workflows. Overall, agentmemory is designed to make AI coding assistants more continuous, context-aware, and useful across long-running software projects. -
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trustfall
A query engine for any combination of data sources
trustfall is a flexible and extensible query engine designed to retrieve and analyze data from a wide variety of heterogeneous sources using a unified query language. It allows developers to query APIs, databases, files, and even structured outputs from AI systems as if they were part of a single, cohesive graph-based dataset. The system is inspired by GraphQL-like paradigms, enabling expressive and composable queries that can traverse relationships across different data domains seamlessly. Trustfall operates by parsing, compiling, and executing queries through adapters that connect to specific data sources, making it highly modular and adaptable to new environments. ... -
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OpenMemory
Local long-term memory engine for AI apps with persistent storage
...It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. OpenMemory integrates with various AI tools and environments, offering SDKs and APIs that simplify adding memory capabilities to applications. ... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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LEANN
Local RAG engine for private multimodal knowledge search on devices
...LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing large embedding vectors. By recomputing embeddings during queries and using compact graph-based indexing structures, LEANN can maintain high search accuracy while minimizing disk usage. It aims to act as a unified personal knowledge layer that connects different types of data such as documents, code, images, and other local files into a searchable context for language models. -
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The Algorithms - C++ #
Collection of various algorithms in mathematics, machine learning
...The project is part of the broader “The Algorithms” initiative, which maintains algorithm implementations in several programming languages to support education and knowledge sharing. Within the C++ repository, contributors implement algorithms across a wide range of fields including sorting, graph theory, number theory, machine learning, cryptography, and data structures. Each implementation is designed to be readable and well documented so that learners can understand the logic and structure behind each algorithm. The repository functions both as a study resource and as a reference library for developers who want examples of algorithm implementations in C++. ... -
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LLMCompiler
An LLM Compiler for Parallel Function Calling
...LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows multiple functions to run in parallel whenever possible. The framework builds a dependency graph of required operations, identifying which tasks must run sequentially and which can be executed simultaneously. Its architecture includes components such as a planning module that constructs the task graph, a task dispatcher that manages dependencies, and an executor that performs parallel calls. -
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OmAgent
Build multimodal language agents for fast prototype and production
...Instead of forcing developers to implement complex orchestration logic manually, the system manages task scheduling, worker coordination, and node optimization behind the scenes. Its architecture uses a graph-based workflow engine where tasks are represented as nodes in a directed workflow, enabling modular composition of complex reasoning pipelines. The framework also includes support for various reasoning strategies commonly used in language agents, such as chain-of-thought prompting, self-consistency reasoning, and ReAct-style decision loops. -
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Aden Hive
Outcome driven agent development framework that evolves
Hive is an open-source agent development framework that helps developers build autonomous, reliable, self-improving AI agents by letting them describe goals in ordinary natural language instead of hand-coding detailed workflows. Rather than manually defining execution graphs, Hive’s coding agent generates the agent graph, connection code, and test cases based on your high-level objectives, enabling outcome-driven agent creation that fits real business processes. Once deployed, agents can capture failure data, evolve automatically to meet their success criteria, and redeploy without constant manual intervention, delivering continual improvement over time. ... -
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pprof
pprof is a tool for visualization and analysis of profiling data
pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. -
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plotly
An interactive graphing library for R
...Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. The plot_ly() function provides a ‘direct’ interface to plotly.js with some additional abstractions to help reduce typing. -
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Git Extensions
UI tool for managing git repositories
Git Extensions is a standalone UI tool for managing Git repositories. It also integrates with Windows Explorer and Microsoft Visual Studio (2015/2017/2019). The full commit history can be browsed. Branches are shown using a graph which highlights commits that are included in the current revision. Explore the history of single files. Renamed and moved files are matched and shown in a single history. You do not need to mark files as renamed/moved. The system detects renamed files automatically. Find the last person that edited a specific part of a file. Double click on the line shows the commit and allows you to drill-down to other files. ... -
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QuantumClifford.jl
Clifford circuits, graph states, and other quantum Stabilizer tools
A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms. -
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Radar
The missing open source Kubernetes UI
Radar is a modern, local-first Kubernetes visibility and management tool that provides a unified interface for exploring, debugging, and operating cluster resources in real time. It runs as a single lightweight binary with no required cloud account, connecting directly to clusters using existing kubeconfig credentials. The platform combines multiple observability features such as topology graphs, event timelines, and traffic visualization into one cohesive UI. It allows users to inspect... -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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GraphRAG
A modular graph-based Retrieval-Augmented Generation (RAG) system
The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. -
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MLDatasets.jl
Utility package for accessing common Machine Learning datasets
This package represents a community effort to provide a common interface for accessing common Machine Learning (ML) datasets. In contrast to other data-related Julia packages, the focus of MLDatasets.jl is specifically on downloading, unpacking, and accessing benchmark datasets. Functionality for the purpose of data processing or visualization is only provided to a degree that is special to some datasets. -
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Bevy
A refreshingly simple data-driven game engine built in Rust
A refreshingly simple data-driven game engine built in Rust. All engine and game logic uses Bevy ECS, a custom Entity Component System. Massively Parallel and Cache-Friendly. The fastest ECS according to some benchmarks. Components are Rust structs, Systems are Rust functions. Queries, Global Resources, Local Resources, Change Detection, Lock-Free Parallel Scheduler. Bevy is still in the very early stages of development. APIs can and will change (now is the time to make suggestions!).... -
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FanCtrl
FanCtrl allows you to automatically control the fan speed
...The project supports a range of control backends and integrations, including motherboard fan headers and several popular cooling ecosystems, and it can also pull sensor data from common monitoring tools so your fan logic can react to the readings you trust. A core concept is “auto fan control” profiles where you pick a target temperature sensor, select which fans should follow it, and then shape the curve via a graph-like interface. It also includes quality-of-life options like renaming items, choosing units (including Fahrenheit), and starting minimized for a set-it-and-forget-it setup. -
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Koila
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code
...The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward pass of neural network training. This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. ... -
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openbench
Provider-agnostic, open-source evaluation infrastructure
openbench is an open-source, provider-agnostic evaluation infrastructure designed to run standardized, reproducible benchmarks on large language models (LLMs), enabling fair comparison across different model providers. It bundles dozens of evaluation suites — covering knowledge, reasoning, math, code, science, reading comprehension, long-context recall, graph reasoning, and more — so users don’t need to assemble disparate datasets themselves. With a simple CLI interface (e.g. bench eval <benchmark> --model <model-id>), you can quickly evaluate any model supported by Groq or other providers (OpenAI, Anthropic, HuggingFace, local models, etc.). openbench also supports private/local evaluations: you can integrate your own custom benchmarks or data (e.g. internal test suites, domain-specific tasks) to evaluate models in a privacy-preserving way. -
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Greenmask
PostgreSQL database anonymization and synthetic data generation tool
Greenmask is a powerful open-source utility that is designed for logical database backup dumping, obfuscation, and restoration. It offers extensive functionality for backup, anonymization, and data masking. Greenmask is written in pure Go and includes ported PostgreSQL libraries that allows for platform independence. This tool is stateless and does not require any changes to your database schema. It is designed to be highly customizable and backward-compatible with existing PostgreSQL... -
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gitoxide
An idiomatic, lean, fast & safe pure Rust implementation of Git
An idiomatic, lean, fast & safe pure Rust implementation of Git. gix is a command-line interface (CLI) to access git repositories. It's written to optimize the user experience and perform as well or better than the canonical implementation. Furthermore, it provides an easy and safe to use API in the form of various small crates for implementing your own tools in a breeze. Please see 'Development Status' for a listing of all crates and their capabilities. Please note that all functionality... -
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OGRE-Next 3D
aka ogre v2 - scene-oriented, flexible 3D C++ engine
OGRE-Next is the next-generation iteration of the OGRE (Object-Oriented Graphics Rendering Engine), a powerful open-source 3D rendering engine designed for real-time applications, games, simulations, and visualizations. It focuses on high-performance rendering pipelines, especially Vulkan and modern OpenGL, offering tools for photorealistic and stylized rendering. OGRE-Next is modular and flexible, providing a developer-friendly environment with scene management, lighting, shadowing, and... -
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LlamaParse
Parse files for optimal RAG
...Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers.
