by AndrewAltimit · MCP Server · ★ 130
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Agent Orchestration & Security Template A reference architecture for AI agent orchestration, trust measurement, and tool integration. Designed to be studied, forked, and adapted -- not contributed to directly. All code changes in this repository are authored by AI agents under human oversight. Browse the project showcase for an overview. This repo demonstrates how to run a council of AI agents (Claude, Gemini, OpenCode, Crush) across a shared codebase with board-driven task delegation, automated PR review, security hardening, and containerized tooling. (Codex/OpenAI integrations have been disabled due to mass surveillance concerns -- see security notice.) It also includes standalone research packages for sleeper agent detection, autonomous economic agent simulation, and tamper-responsive hardware. Several companion repositories consume or extend the functionality of this project.
| Stars | 130 |
| Forks | 28 |
| Language | Rust |
| Category | MCP Server |
| License | Unlicense |
| Quality Score | 70.3034657362572/100 |
| Last Updated | 2026-07-05 |
| Created | 2025-07-12 |
| Platforms | claude-code, cli, codex, docker, gemini, mcp, rust |
| Est. Tokens | ~28k |
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template-repo is Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers. It is categorized as a MCP Server with 130 GitHub stars.
template-repo is primarily written in Rust. It covers topics such as agent-framework, agent-orchestration, agent-security.
You can find installation instructions and usage details in the template-repo GitHub repository at github.com/AndrewAltimit/template-repo. The project has 130 stars and 28 forks, indicating an active community.
template-repo is released under the Unlicense license, making it free to use and modify according to the license terms.
The top alternatives to template-repo on Agent Skills Hub include DashClaw, GAAI-framework, forge-orchestrator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.