Marchward

What is Marchward?

Marchward is an Apache-2.0 open-source runtime authority for AI agents. It routes an agent's tool calls through a single control point, providing credential mediation, inference spend capping, human-in-the-loop approval gates, and a tamper-evident hash-chained audit log. It is available as npm packages (@marchward/*), a PyPI package (marchward), and an official MCP registry server (ai.marchward/mcp-server), with a runnable governed-LangGraph example.

How to use Marchward?

Install the Marchward package from npm, PyPI, or use the official MCP registry server. A runnable governed-LangGraph example is provided in the repository to get started.

Key features of Marchward

• Credential mediation: agent uses a single Marchward key, never real downstream credentials
• Inference spend cap enforced before calls reach the provider
• Human-in-the-loop approval gates for irreversible actions
• Tamper-evident hash-chained audit log for all tool calls
• Open-source under Apache-2.0 license

Use cases of Marchward

• Control tool calls made by autonomous AI agents
• Prevent leakage of sensitive downstream API credentials
• Enforce budget limits on agent inference costs
• Require human approval before destructive or irreversible actions
• Maintain a verifiable audit trail of all agent tool invocations

FAQ from Marchward

How does Marchward mediate credentials?

The agent holds a single Marchward key and never the user’s real downstream credentials. Marchward routes and mediates all tool calls, keeping downstream secrets hidden from the agent.

Does Marchward support human approval?

Yes, Marchward implements human-in-the-loop approval gates that must be passed before irreversible actions are executed.

How does Marchward control spending?

Marchward enforces an inference spend cap before the tool call reaches the provider, preventing budget overruns.

What license is Marchward released under?

Marchward is released under the Apache-2.0 open-source license.

Where can I get Marchward?

Marchward is available on npm (@marchward/*), PyPI (marchward), and the official MCP registry (ai.marchward/mcp-server). A governed-LangGraph example is included in the public repository.