RelayFailover and Cache Layer for LLM APIs

Bodega One Code

Bodega One Code is a local-first AI coding IDE with a built-in chat and autonomous agents, supporting Ollama, OpenAI, Anthropic, and more. Personal use is permanently free, with parallel agents via Fleet, scheduled automation loops, air-gap mode, and full model freedom. If you care about keeping code on your machine, this one is worth a look.

Nadir

Nadir introduces a verifier-gated LLM router designed to cut API costs without sacrificing quality. It routes requests to cheaper models first, then uses a calibrated verifier to score responses. If quality falls short, it escalates to a more powerful model. This approach claims up to 60% cost savings while maintaining 98% quality, offering an OpenAI-compatible, two-line integration for high-volume, varied complexity workloads.

StackBuilder

StackBuilder is a free, AI-driven tool that generates professional cloud architecture diagrams from natural language descriptions. It supports major platforms like AWS, Azure, GCP, and Kubernetes, and allows exports to PNG, SVG, and PDF. No registration is required, making it ideal for system design interviews, architecture documentation, and presentations.

Nest by RAVEN

Nest by RAVEN (also known as NestMux) is a multi-AI terminal workbench for developers. It allows parallel execution of Claude, Gemini, Codex, Copilot, and Aider within a single window. Features include Git worktrees integration, team terminal sharing, MCP panel, and broadcast prompts. It's local-first, telemetry-free, and available for free download on macOS, Windows, and Linux.

h5i

h5i is an open-source sandbox tool designed for AI coding agents like Claude Code and Codex. It encapsulates the agent, shell, dependencies, and browser within a single, isolated boundary. This lightweight sandbox launches in under 200ms, supports exporting auditable patches and execution logs, and is local-first, SaaS-free, delivered as a single Rust binary.

Deep Work Plan

Deep Work Plan is an open-source methodology that transforms any code repository into a structured, AI-executable environment using an `init.md` file. It breaks down long-term coding tasks into atomic steps with clear acceptance criteria, validation gates, and recoverable states, preventing AI agents from derailing. It's agent-agnostic, open-source (MIT), and prevents vendor lock-in.

Completely resolve the language issues in Google Antigravity responses.

Google Antigravity performs excellently in scenarios such as task planning, application generation, and code building, but many users face a common frustration: even when they intend to output content in a specific language, Antigravity often automatically switches back to English. Whether it's task plans, execution strategies, application copy, or final outputs, the issue of "default English output" frequently arises, affecting the user experience.

guidellm: Open-Source Tool for Evaluating and Optimizing LLM Inference

guidellm is an open-source tool developed by the vLLM team to evaluate and optimize Large Language Model (LLM) inference performance in production environments. It offers stress testing, latency analysis, and throughput assessment to help developers identify bottlenecks and fine-tune deployment configurations. The project is primarily written in Python and licensed under Apache-2.0. At the time of collection, it had 1214 stars on GitHub.

ai-gateway: Unified AI Gateway Based on Envoy Gateway

ai-gateway is an open-source project built on Envoy Gateway, offering a unified API gateway to manage access to diverse generative AI services. It simplifies AI application integration and operations by providing features like load balancing, caching, and rate limiting for various AI providers. The project is written in Go and licensed under Apache-2.0.

go-micro: Go framework fusing AI agent harness with microservices

go-micro is an open-source Go framework that fuses an AI agent harness with microservices, supporting MCP, A2A, and multi-LLM integration. It is licensed under Apache-2.0 and primarily written in Go. As of the collection time, the project had 22,755 stars on GitHub.

Kun: Local-First AI Agent Workspace

Kun is a local-first AI agent workspace that unifies coding, writing, design, research, and automation through a shared GUI and TUI runtime. The project is primarily developed in TypeScript and has an 'Other' license. As of collection time, it has 4813 GitHub stars.

terax-ai: Lightweight Tauri-based Desktop Dev Environment

terax-ai is a Tauri-based desktop development environment with a size of only 7-8 MB. It integrates a GPU terminal, CodeMirror editor, Git tools, and multi-provider AI agents, offering an all-in-one development experience. The project is primarily written in TypeScript and licensed under Apache-2.0.

jar-analyzer: Open-Source GUI Tool for Java JAR Analysis with AI Assistant

jar-analyzer is an open-source GUI tool for Java JAR package analysis, featuring an integrated AI assistant. It offers robust capabilities like JAR DIFF, method call graph exploration, DFS call chain analysis, taint analysis, and control flow graph (CFG) program analysis. Ideal for Java developers and security researchers, it streamlines code auditing and reverse engineering tasks. The primary language is Java, licensed under GPL-3.0, with 2111 GitHub stars at the time of collection.