Govern AI Agents by Framework
Pre-dispatch policy enforcement, approval workflows, and structured audit trails for every major AI agent framework. Pick yours.
LangChain
LangChain makes it easy to build agents. It does not make it easy to control what those agents do in production. Cordum adds pre-dispatch governance without touching your chain logic.
CrewAI
CrewAI coordinates multiple agents working together. The more agents collaborate, the harder it is to predict what they will do. Cordum governs every agent action before it executes.
AutoGen
AutoGen enables multi-agent conversations that execute code and call APIs. Cordum ensures every action passes through policy checks before execution.
OpenAI Assistants
The Assistants API handles tool calls and code interpretation. Cordum adds the governance layer that OpenAI does not provide.
Claude Agents
Claude agents use tool calls and MCP integrations to take real-world actions. Cordum governs those actions before they execute.
Bedrock Agents
Bedrock agents execute action groups in your AWS environment. Cordum adds policy enforcement before every action group invocation.
Semantic Kernel
Semantic Kernel lets you build agents with plugins and planners. Cordum governs which plugins execute, when, and under what constraints.
LlamaIndex
LlamaIndex agents query data, call tools, and act on retrieval results. Cordum governs the action layer with policy checks before every tool invocation.
MCP Servers
MCP servers give AI agents access to tools and resources. Every new integration expands the attack surface. Cordum governs which tools execute.
Custom Agents
Built your own agent framework? Cordum governs it. CAP v2 gives any agent policy checks, approvals, and audit trails.