by provos · MCP Server · ★ 274
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
IronCurtain A secure\ runtime for autonomous AI agents, where security policy is derived from a human-readable constitution. \When someone writes "secure," you should immediately be skeptical. What do we mean by secure? [!WARNING] Research Prototype. IronCurtain is an early-stage research project exploring how to make AI agents safe enough to be genuinely useful. APIs, configuration formats, and architecture may change. Contributions and feedback are welcome. Demo The agent is asked to clone a repository and push changes. Both and are escalated by the policy engine, but the auto-approver approves them automatically — the user's trusted input from command mode (Ctrl-A) provided clear intent, so no manual was needed. The Problem Autonomous AI agents can manage files, run g
| Stars | 274 |
| Forks | 34 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 62.08/100 |
| Open Issues | 8 |
| Last Updated | 2026-05-04 |
| Created | 2026-02-21 |
| Platforms | mcp, node |
| Est. Tokens | ~492k |
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ironcurtain is A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev). It is categorized as a MCP Server with 274 GitHub stars.
ironcurtain is primarily written in TypeScript. It covers topics such as agent, mcp, model-context-protocol.
You can find installation instructions and usage details in the ironcurtain GitHub repository at github.com/provos/ironcurtain. The project has 274 stars and 34 forks, indicating an active community.
ironcurtain is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ironcurtain on Agent Skills Hub include tuui, agentscope-runtime, zerobox. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.