Search Results for "core-analyzer"
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Showing 12 open source projects for "core-analyzer"
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1
Modern Go Guidelines
Help AI coding agents write modern Go
...It encourages modern alternatives such as newer built-ins, slices utilities, comparison helpers, and improved error handling. The guidelines also cover everything targeted by the Go modernize analyzer. Integrations are available for Junie, Claude Code, Codex, Cursor, OpenCode, and other compatible agent systems. -
2
Dagger
Containerized automation engine for programmable CI/CD workflows
...Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers, filesystems, secrets, repositories, and other resources needed during development pipelines. Developers can write pipelines using SDKs available for multiple programming languages, enabling integration with existing development stacks and tools. It focuses on repeatability and efficiency by running tasks incrementally and caching intermediate results so that only affected operations are re-executed when changes occur. -
3
Gonzo
Real-time terminal log analyzer with AI insights and dashboards
Gonzo is an open source, Go-based terminal UI for real-time log analysis. It lets developers and SREs analyze live log streams directly in the terminal using an interactive dashboard with charts, filters, and structured views. It supports multiple input sources, including files, stdin, and OpenTelemetry streams, while automatically detecting formats such as JSON and logfmt. Users can explore logs through a k9s-inspired layout, combining visualizations like heatmaps, severity distributions,... -
4
Agent Substrate
Agent Substrate: the core system
Agent Substrate is an open-source, zero-trust runtime designed to securely execute millions of autonomous AI agents and stateful workloads on Kubernetes. It isolates agents using gVisor sandboxes or Cloud Hypervisor microVMs, protecting compute, networking, and storage resources. Its architecture maps many agents onto a smaller pool of workers to improve infrastructure efficiency. Idle agents can be suspended and restored with their memory and filesystem states intact. The platform provides... -
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5
Bifrost
The Fastest LLM Gateway with built in OTel observability
...It also includes observability with built-in metrics, tracing, logging, and supports governance features like rate limiting, access control, and cost budgeting. The architecture is modular: there is a core engine, plugin layers, and transport layers (HTTP APIs). -
6
kagent
Kubernetes native framework for building AI agents
Kagent is a Kubernetes-native framework for building, deploying, and operating AI agents as first-class cloud-native workloads. It models core agent concepts declaratively using Kubernetes custom resources, so teams can manage agents similarly to other platform components via YAML, controllers, and standard cluster workflows. In kagent’s design, an “Agent” represents a system prompt plus a set of tools and other agents, along with an LLM configuration, making the agent definition portable and repeatable across environments. ... -
7
Docker MCP Gateway
Docker mcp CLI plugin / MCP Gateway
Docker’s MCP Gateway project is a Docker CLI plugin and supporting gateway system designed to run, manage, and securely expose MCP servers using container isolation. It underpins the MCP Toolkit experience in Docker Desktop, but it can also be used independently as a general-purpose MCP operational layer. The core idea is to treat MCP servers like containerized services, giving each server controlled privileges and a lifecycle you can inspect, enable/disable, and reset as needed. Instead of having each AI client manage its own MCP server configuration, the gateway provides a unified interface so multiple clients can connect consistently to the same configured tool surface. ... -
8
PC-Gui
Lightweight PC-Gui framework for AI, typewriter stream Gemini-like
PC-GUI: A lightweight desktop GUI framework for AI, natively supporting live typewriter-style streaming output like Gemini! 🎉 💡 Core philosophy: Rapid development · Minimal footprint · Native performance. We empower you to build premium desktop tools that users are willing to pay for. PC-GUI helps you meet strong market demands by building compact, powerful, commercial-grade applications with a simple and stable tech stack. We adopt a "backend-first approach" to desktop development: a stable Go backend (net/http) powers a standard web frontend (HTML/CSS/JS), coupled with encrypted SQLite storage for an extremely lightweight and high-performance design. ... -
9
Ai-Assistant
Open-source novel writing & AI coding assistant aggregating top models
This is an open‑source, powerful novel‑writing and AI programming assistant with the following core strengths: Model Aggregation: Natively supports the latest DeepSeek and seamlessly integrates with top‑tier models such as Gemini, Claude, GPT, Tongyi Qianwen, Kimi, and others—both domestic and international—delivering a one‑stop intelligent experience. Multimodal Capability: Accurately interprets images and PDF content, and supports invoking advanced models for high‑quality text‑to‑image generation. ... -
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10
Reviewpad
Next generation pull requests and issues
...With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and that goal is what has driven our work at Reviewpad. At the core of this experience is security – developers should be able to go faster without increasing the risk of introducing changes that can hurt their products, users, and organizations. -
11
spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace to ensure that additional dependencies are downloaded only when specific features (e.g. persistent embeddings) are used. A good place to start is by looking at the implementation of built-in neural models, such as the LSTM. ... -
12
HttpRunner
Testing framework that began with API and performance testing
HttpRunner is an open-source testing framework that began with API and performance testing and has evolved into a general, extensible test platform. The current major version is implemented in Go, with the legacy Python edition split to a separate repository; this shift emphasizes a single, fast, cross-platform runtime for modern pipelines. It provides declarative test cases, data-driven parametrization, and plugin mechanisms so teams can compose reusable steps and validations at scale....
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