JigsawMLArchitectural Intelligence for AI-Written Code

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.

Spanly

Spanly offers a specialized observability and monitoring solution for Model Context Protocol (MCP) servers. It helps SaaS teams track error rates, session traces, latency, and client behavior in production environments. With quick CLI/SDK integration, it complements existing monitoring stacks and provides data residency options in the US and EU. A free scanner is available to quickly identify protocol-level vulnerabilities.

Yaeris

Yaeris is a marketplace for Model Context Protocol (MCP) servers, offering a centralized directory where developers can freely browse and publish human-reviewed MCP servers. It supports OAuth/API token integration, making it easy for AI agents to connect with real-world tools. While basic features are free, paid add-ons are available to boost server visibility. It's a pragmatic solution for AI agent developers and software companies looking to streamline their integrations.

RepoFuse

RepoFuse scans your GitHub, GitLab, or Bitbucket repositories, using AI to identify viable product ideas from existing code. It ranks these ideas by market demand, build effort, and revenue fit. The first scan is free, with read-only access and no source code storage, making it ideal for developers and small teams to quickly explore new directions.

GetKeri

GetKeri transforms OpenAPI specifications into task-level Model Context Protocol (MCP) servers, complete with readiness scoring, simulated testing, and real-time validation. It outputs ready-to-install configurations for AI agents like Cursor and Claude. Supporting both hosted and local deployments, GetKeri enhances key security, helping development teams integrate existing APIs with AI agents cost-effectively.

Nexora AI

Nexora AI is a React 19 SaaS template kit sold on Gumroad, aimed at developers building AI or SaaS front ends; feature and price details are not public.

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.

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.

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.

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.