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Runtime enforcement layer for AI agent tool calls — deterministic, no AI in the decision path

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Session collection for AI coding agents — reads what agents write to disk and normalises it into one session model.

Semantic request filtering and scope control for AI apps.

MCP Server for RAVERSE - AI Multi-Agent Binary Patching System with 35 tools, NPX/NPM/PyPI support, and 20+ client configurations

Model Context Protocol server that enforces deterministic policy on AI tool calls using the Vaikora policy engine.

Local-first MCP password and credential manager for AI agents. Use passwords, API keys, SSH identities, and TOTP without exposing hidden plaintext to the model.

A Geiger counter for AI agents — one read-only command that inventories every agent, MCP server, plugin, and AI extension on a machine

AgentGuard SDK — policy engine, audit trail, kill switch, and LangChain/OpenAI integrations

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

Renfield — penetration testing for AI agents: finds and PROVES cross-server confused-deputy exfiltration chains in an MCP tool mesh, measures whether a real LLM falls for them, gates them at runtime, and runs as an MCP server any agent can call.