5GitHub Trending (AI/LLM filtered)·
Serena: MCP-based semantic code retrieval and editing toolkit for agents
Serena is an open-source Python toolkit that provides an MCP-compatible interface for semantic code retrieval and editing, positioning itself as an IDE layer for AI coding agents. The project has accumulated 26,793 GitHub stars with 85 added today, indicating sustained community traction. It is relevant to the growing ecosystem of MCP-native tooling for agentic software development workflows.
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Superset: Code Editor for AI Agents Era Supporting Claude Code, Codex and Others
Superset is an open-source TypeScript code editor designed for running multiple AI coding agents (Claude Code, Codex, etc.) concurrently on a local machine. The project has accumulated 11,117 GitHub stars with 64 added today, indicating notable community traction. It represents a tooling layer for orchestrating and managing parallel AI agent workflows in a development environment.
wshobson/agents: Multi-harness agentic plugin marketplace for major AI coding tools
A GitHub repository called 'agents' by wshobson provides a multi-harness agentic plugin marketplace targeting Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gemini CLI. The project has accumulated 37,134 stars with modest daily momentum (+43 today). It represents a cross-platform approach to agent tooling that spans multiple competing AI coding environments.
Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.
Anthropic Open-Sources the Model Context Protocol (MCP)
Anthropic has released the Model Context Protocol (MCP), an open standard enabling secure, two-way connections between AI assistants and external data sources such as business tools, content repositories, and development environments. The protocol introduces a client-server architecture with SDKs, local MCP server support in Claude Desktop, and a repository of pre-built connectors for systems like GitHub, Slack, Google Drive, and Postgres. Early adopters include Block and Apollo, with development tool companies Zed, Replit, Codeium, and Sourcegraph integrating MCP into their platforms. The goal is to replace fragmented, per-source integrations with a single universal protocol, improving context availability for AI agents.
mcp-use: open-source fullstack MCP framework for building MCP apps and servers
mcp-use is a TypeScript framework on GitHub for developing MCP (Model Context Protocol) applications targeting ChatGPT and Claude, as well as MCP servers for AI agents. The project has accumulated over 10,000 stars, indicating meaningful community adoption. It represents a tooling layer in the growing MCP ecosystem for agent-tool integration.
Microsoft 'skills' repo: MCP servers and agent grounding primitives for coding agents
Microsoft has published an open-source TypeScript repository called 'skills' that provides MCP servers, custom agents, and an Agents.md specification to ground coding agents within SDKs. The project appears to be infrastructure for standardizing how coding agents discover and invoke capabilities. With 2,656 stars and modest daily growth, it is an early-stage but notable contribution to the agent tooling ecosystem from a major lab.
AWS releases official agent toolkit with MCP servers and plugins for AI agents
AWS has published an official, AWS-supported toolkit on GitHub providing MCP servers, skills, and plugins to enable AI agents to interact with AWS services. The repository is Python-based and has accumulated 966 stars. This represents AWS's formal entry into the MCP server ecosystem for agentic workloads.
jcodemunch-mcp: MCP server for symbol-level code retrieval via tree-sitter AST
jcodemunch-mcp is an open-source MCP server that uses tree-sitter AST parsing to enable precise, symbol-level GitHub code retrieval, claiming 95%+ token cost reduction for code exploration tasks. The tool is compatible with Claude Code, Cursor, and any MCP client. It has accumulated 2,225 GitHub stars with 313B+ tokens reportedly saved across users.