Autonomous hierarchical multi-agent team (CEO -> Manager -> Workers) for Model Context Protocol (MCP). Mix Claude Code, Antigravity, Codex & Direct API with persistent SQLite queues and a real-time we
Agentic Team MCP — Persistent Multi-Agent Orchestration for Model Context Protocol
Agentic Team MCP is an enterprise-grade, local-first multi-agent orchestration platform designed around the Model Context Protocol (MCP). It establishes a persistent, hierarchical agent workforce (CEO Strategy → Manager Execution → Specialist Workers) that bridges native CLI coding environments (Claude Code, Gemini Antigravity, Codex) with unified direct API providers (DeepSeek, Z.ai/GLM, Google Gemini, OpenAI, and OpenRouter).
Abdulaziz Komilov (@menma4ever), student researcher in local model fine-tuning and quantization, building persistent, cost-effective multi-agent teams across native CLIs (Claude Code, Gemini Antigravity, Codex) and Model Context Protocol.
Modern agent frameworks often suffer from three fatal flaws: fragile ephemeral execution contexts, proprietary cloud lock-in, and ballooning API token costs. Agentic Team MCP was engineered to solve these problems by coupling persistent SQLite event sourcing with native CLI adapters (leveraging existing subscription authorizations like Claude Code, Gemini Antigravity, and Codex CLI) alongside high-efficiency open-weights models (DeepSeek-V3/R1 and GLM-5). The result is an autonomous, self-healing team architecture capable of executing complex engineering milestones locally, deterministically, and cost-effectively.
Feature Agentic Team MCP Traditional Multi-Agent Frameworks Standard MCP Servers :--- :--- :--- :--- Persistence Model Resilient SQLite Event Sourcing (resumes after restart/crash) In-memory or ephemeral sessions Ephemer
From the project README.
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