Govern agents built on any framework.
Kynexa adds identity, policy, data & tool controls, memory controls, approvals and audit around agents built with LangGraph, Claude, OpenAI, CrewAI, AutoGen, Semantic Kernel or custom enterprise frameworks.
Reads at source · single-tenant · every policy decision logged.
The problem you own
Autonomous agents chain actions, call tools and pass data to one another. Each hand-off is an uncontrolled moment: an agent can retrieve details it never needed and one agent's data can surface inside another's reasoning. Uniform, one-size-fits-all governance either breaks the workflow or lets too much through; which is why many enterprises stall or pull back autonomous agents before production.
How it works
Kynexa treats each agent as an identity with an owner, approved purpose, permissions, and lifecycle state. The policy engine evaluates retrieval, model access, tool calls, memory operations, hand-offs, approvals, and outputs against user, agent, role, purpose, and sensitivity; without requiring teams to replace their chosen agent framework.
Identity, scope, and control around your agents
Owner, purpose, environment and lifecycle state.
What this agent may retrieve, call and act on.
Only registered tools, with scoped credentials.
Evaluated on every step and hand-off.
Retention, recall and sharing are governed.
Every action recorded with its decision reason.
A governed claims-triage agent shows its identity, owner, purpose and lifecycle, marked within policy with high-impact actions gated. Around it are six controls — identity, scope, approved tools, policy boundaries, memory controls and auditability — applied to agents built with LangGraph, Claude, OpenAI, CrewAI, AutoGen or custom frameworks.
Where governance applies
Every agent action is evaluated before it executes.
| Control surface | Policy input | Enforcement point | Audit evidence |
|---|---|---|---|
| Agent identity | Owner · purpose · lifecycle | Agent registry | Registry record |
| Action policy | User · agent · role · sensitivity | Policy engine | Decision log |
| Tool permissions | Scope · approval | MCP & tool gateway | Tool-call record |
| Memory | Purpose · retention | Memory governance | Memory event |
What you get
Agent identity and registry
Track owner, framework, purpose, permissions, lifecycle state and deployment environment.
Policy on every action
Evaluate retrieval, model selection, tool calls, hand-offs, memory and outputs before execution.
Tool and approval controls
Restrict high-impact actions to approved tools, scopes, users, agents and human approval paths.
Complete agent traces
Record the initiating identity, data accessed, policy applied, model used, tool called, memory touched, output generated and decision reason.
What changes for you
- What you can control
- What each agent may retrieve, call, remember, and hand off.
- What you can prove
- A complete trace for every agent action and hand-off.
- What changes operationally
- Third-party and custom agents move toward production safely.
- Primary stakeholders
- AI platform, security, agent owners.
Technical FAQ
See Kynexa govern your AI — in 30 minutes.
Bring a real use case. We'll set up governed retrieval, reasoning and audit on your stack.