meta-agent

A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance builds from with zero context — EARS acceptance criteria and a runnable verify command on every build step. 14 project shapes, greenfield and brownfield. EN/ES.

Convoke extends BMAD Method AI agents with two types of installable modules: Teams bring new agents for a domain, Skills add new capabilities to existing agents. Install them independently or combine them.

The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.

Save context for what matters. The last agent you'll ever need.

Open-source meta-agent orchestrator for VS Code: one sidebar for Copilot, Claude, Cursor, Devin, and Kiro.

An open framework for building self-improving AI agent teams. Includes a meta-agent architecture with independent auditing, git-backed evolution, and structured feedback loops. Ships with a complete marketing team, a reusable team-builder skill, and a portable prompt that works with any LLM.

An Agent that propagates improvements into other agents — mines session history + audits freshness, then PRs fixes.

Smith: a meta-agent for Hermes Agent — build agent profiles from chat, auto-route Kanban tasks to the right agent

A model-native meta-agent plugin for DeepSeek Harness that uses the underlying model’s reasoning and planning capabilities to synthesize task-specific workflows at runtime and coordinate tools and subagents.

Meta-agent system for Claude Code that creates specialized AI agents through deep domain research and 7-lens quality review

Think in Higher Dimension

Production-ready agents, your way.

Chain-of-density study of 'Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation' (Yang, Zhao, Wu & Kästner 2026, CMU, arXiv:2607.08938) - five-tier note, locator-verified. SLM agents, meta-agent harness optimization.

Meta Agent 跨 session 编排引擎，基于 Reasonix 可编程状态机 + 角色卡系统

Hierarchical agent orchestration system with JSON-RPC 2.0 unified architecture

Autonomous self-healing supervisor meta-agent for LLM monitoring, CockroachDB vector memory RAG, and AWS Bedrock cost optimization.

A meta-agent that generates, tests, and iterates on AI agent harnesses from plain-English descriptions. No Docker, no benchmarks required.