mmnto-ai/totem

Description and use

**Brief Summary**
mmnto‑ai/totem is a deterministic, file‑anchored toolkit that lets AI agents query context, enforce rules, and derive state through a standard Model Context Protocol. Built in TypeScript, it offers an API/SDK/CLI for wiring agents to real tools and data sources, making integrations repeatable and auditable.

**Value**

• **Unified protocol**: Provides a single, version‑controlled way to expose tool capabilities and data to any AI assistant, eliminating ad‑hoc “prompt‑engineering” glue code.
• **Deterministic state**: Because context is anchored to files, the same input always yields the same output, which is crucial for debugging, compliance, and reproducibility.
• **Policy enforcement**: Rules can be defined once and automatically applied to every agent interaction, helping teams meet security and governance requirements.

**Practical Adoption Path**

1. **Prototype** – Install the npm package, run the CLI to generate a starter “totem” configuration, and point it at a small set of internal tools (e.g., a search API or a database).
2. **Integrate** – Use the provided TypeScript SDK or REST endpoints to let your existing AI agents (ChatGPT, Claude, etc.) call the totem server for context and actions.
3. **Scale** – Add more file‑anchored modules, enforce organization‑wide rules, and expose the service via a Model Context Protocol server for other teams to consume.
4. **Monitor** – Leverage the built‑in logging and state‑derivation features to audit agent behavior and iterate on rule sets.

**Production Readiness**
The project shows strong OSS maturity: recent commits (as of 2026‑07‑01), active issue handling, 15 stars, 4 forks, and a well‑documented TypeScript codebase. Its API/SDK/CLI surface is clear, and the deterministic file‑anchoring model simplifies testing and compliance. While a final review of licensing, security posture, and maintainer activity is still advisable, the current signals indicate that totem is ready for a serious pilot in production environments.

Use in a workflow

mmnto-ai/totem helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.