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4GitHub Trending (AI/LLM filtered)·28d ago

Multica: Open-Source Managed Agents Platform for Coding Agents

Multica is an open-source TypeScript platform designed to turn coding agents into collaborative teammates, supporting task assignment, progress tracking, and skill compounding. The project has accumulated 31,871 GitHub stars with 429 added today, indicating significant community traction. It positions itself as a managed agents infrastructure layer for developer workflows.

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Related events (8)

3Github Trending·12d ago·source ↗

agent-teams-ai: multi-agent orchestration framework with kanban-style oversight

A TypeScript open-source project on GitHub implements a multi-agent system where autonomous agents handle tasks, communicate with each other, and review each other's work, while the user supervises via a kanban board. The framework supports 200+ models across 75+ LLM providers including Codex, Claude, and OpenCode. It has accumulated 1,189 stars with 56 added today, suggesting growing community interest.

4Github Trending·1mo ago·source ↗

agent-skills: Secure Validated Skill Registry for AI Coding Agents

A TypeScript-based open-source skill registry designed to extend AI coding agents including Claude Code, Cursor, GitHub Copilot, and Antigravity with validated, reusable capabilities. The project provides a structured way to add skills to multiple coding agent platforms with a focus on security and validation. It is gaining notable traction with 3,767 total stars and 225 stars added today.

4Github Trending·34h ago·source ↗

stablyai/orca: Agent Development Environment for parallel coding agent fleets

Orca is an open-source Agent Development Environment (ADE) built in TypeScript that enables running fleets of parallel coding agents using a user's own model subscriptions. It targets desktop and mobile platforms. The project has accumulated 5,493 GitHub stars with 117 added today, indicating meaningful community traction.

4Github Trending·2d ago·source ↗

Kilo Code: open-source agentic coding platform trending on GitHub

Kilo Code is an open-source TypeScript-based agentic engineering platform positioned as an all-in-one tool for building and shipping software faster. The repository has accumulated 22,038 stars with 1,339 added in a single day, indicating strong community traction. It competes in the growing space of open-source coding agents alongside tools like Aider and Continue.

4Github Trending·13d ago·source ↗

Cline autonomous coding agent gains traction on GitHub (62k+ stars)

Cline is an open-source autonomous coding agent available as an SDK, IDE extension, or CLI assistant, written in TypeScript. The project has accumulated over 62,000 GitHub stars, with 50 new stars on the day of observation. It represents a notable entry in the agent-tool ecosystem for developer-facing AI tooling.

3Github Trending·10d ago·source ↗

MonkeyCode: Enterprise AI development platform with environment, model, and task management

MonkeyCode is an open-source TypeScript project by Chaitin Technology positioning itself as an enterprise-grade AI development platform for professional development teams. It bundles development environment management, AI model management, AI task management, and project requirements management into a single assistant platform. The repository has accumulated 3,302 stars with modest daily growth.

5Github Trending·15d ago·source ↗

Microsoft agent-framework: open-source library for building and orchestrating AI agents

Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.

4Hugging Face Blog·1mo ago·source ↗

Tiny Agents: an MCP-powered agent in 50 lines of code

Hugging Face published a blog post demonstrating how to build a minimal AI agent using the Model Context Protocol (MCP) in approximately 50 lines of code. The post showcases how MCP enables agents to discover and invoke tools dynamically, reducing the boilerplate required for agentic workflows. This serves as both a tutorial and a commentary on MCP's role in simplifying agent-tool integration in the current ecosystem.