MCP

A knowledge inbox for AI agents and Obsidian is a local-first ingestion pipeline that turns raw inputs — links, PDFs, videos, screenshots, and plain text — into structured Markdown knowledge cards inside your own vault. Instead of dumping every snippet into cloud read-it-later apps, it normalizes all sources through a single pipeline, enriches them with OCR, transcription, and auto-tagging, then stores everything as human-readable files plus a queryable SQLite index. Your AI agents read the same local store your notes live in. ...

The n8n Governance Kit is a one-click way to deploy a governed n8n instance into your own Railway account and operate it safely with Claude Code. It provisions n8n with zero-secret handling, ships native MCP and Claude skills, and enforces agent-based governance so production workflows stay reliable. This guide explains the architecture, the deploy flow, and how to operate it. What Is an n8n Governance Kit and Why You Need One in 2026 An n8n governance kit is a packaged set of rules, skills, and deployment tooling that lets you run n8n in production without letting automation quality slip. Provisioning n8n is a commodity in 2026 — any developer can spin up an instance. The real product is keeping a non-technical user’s workflows from breaking once they are live. ...

GitHub Copilot code review has reached a major milestone with the general availability of agent skills and MCP (Model Context Protocol) server support, announced on July 29, 2026. These features transform Copilot code review from a static analysis tool into an extensible platform that understands your team’s coding standards, integrates with your existing toolchain, and delivers context-aware feedback on every pull request. What’s New — Agent Skills and MCP Go GA On July 29, 2026, GitHub announced that agent skills and MCP server support for Copilot code review are now generally available for all Copilot Pro, Pro+, Business, and Enterprise users. This marks the culmination of a public preview that began on June 2, 2026, and represents GitHub’s most significant investment in code review intelligence to date. ...

The open-source AI developer tools ecosystem in 2026 has matured to the point where every proprietary AI service — from GitHub Copilot to Pinecone to ChatGPT — has a viable, production-ready open-source alternative. This directory covers 18+ categories of open-source AI devtools, including coding agents, local inference engines, agent frameworks, vector databases, RAG pipelines, evaluation platforms, and observability tools, with maturity badges and direct comparisons to the closed-source tools they replace. ...

What is Mem-Port and Why Portable Agentic Memory Matters Mem-Port is an open-source MCP (Model Context Protocol) memory server that gives AI coding agents persistent, portable long-term memory using an embedded SurrealDB database. Unlike traditional memory solutions that lock agent context to a single machine or tool, Mem-Port lets you carry your AI agent’s entire memory — facts, episodes, skills, and entity relationships — between machines, copilots, and teams as a single portable JSON bundle. Think of it as a thumb drive for your AI’s brain. ...

What is Succubus? Succubus is an open-source, single-binary daemon written in Go that coordinates multiple AI coding agents working on the same repository. It prevents the “blind multi-agent” problem — where two or more AI agents edit the same files without knowing about each other — by providing file claims with lease-based locking, a shared task board, inter-agent communication, and a real-time dashboard. Created by enowx labs and released on July 28, 2026, Succubus supports eight different AI coding tools including Claude Code, Codex CLI, Gemini CLI, Cursor CLI, and Aider, and integrates via both MCP server and mandatory lifecycle hooks. ...

BeHive is an open-source, MCP-native deep research engine that transforms how AI agents and developers extract structured knowledge from the web. Unlike traditional research tools that produce plain text reports, BeHive generates quality-scored knowledge graphs — complete with entities, relationships, and deduplicated claims — by orchestrating 70+ specialized API sources through a five-stage pipeline. It is free under the MIT license and costs only your LLM API tokens to run. ...

Agyn is an open-source, Kubernetes-native runtime for AI agents that launched on May 20, 2026, as a complete rebuild from earlier research. It treats AI agents as infrastructure defined through Terraform, isolates credentials at the MCP container level rather than the agent container, and uses OpenZiti zero-trust networking to eliminate VPNs. Unlike agent frameworks that focus on orchestration logic, Agyn solves the infrastructure layer — deployment, scaling, security, and observability — for production agent workloads running on Kubernetes. ...

One Context MCP shared memory is a unified storage layer that lets AI coding tools like Claude Code, Cline, and Codex access the same project knowledge — coding conventions, architectural decisions, and past conversations — through the Model Context Protocol (MCP). Instead of each tool maintaining its own fragmented context, a single MCP memory server acts as the shared brain, eliminating the need to re-explain project details every time you switch tools or start a new session. ...

What is MUXI? — The AI Application Server MUXI is an open-source AI application server that treats agents as first-class infrastructure primitives rather than application code. Unlike frameworks such as LangChain or CrewAI that require you to write agent logic in Python or TypeScript, MUXI provides a complete self-hosted server stack where agents are defined declaratively, deployed with a single command, and managed through a production-grade runtime with built-in orchestration, memory, RBAC, observability, and resilience patterns. As of July 2026, MUXI has grown to 270+ GitHub stars and ships 12 official SDKs, positioning itself as the infrastructure layer the AI agent ecosystem has been missing. ...