Iron Context with a visible source
See whether an item came from the agent, a broader business scope, reviewed feedback, or another approved source.
Agent MemoryGive every AI employee
Give every AI employee
the context it needs.
Keep approved facts, preferences, and working guidance close to the AI employees that need them. Iron Gorilla separates direct and inherited memory, shows where each item came from, and keeps new shared context available for review.
How it works
Useful context should be easy to find and easy to question.
An AI employee can use context assigned directly to it and eligible context inherited from its organization, department, or group. Reviewers can see the source and scope, approve proposed memory, and update direct memory without changing the inherited record.
Product Walkthrough
Follow one memory item from review to everyday use.
See how a team reviews proposed context, manages what belongs to one AI employee, and understands what it inherits from the wider business.
Review before shared use
Approve or reject proposed memory before it becomes durable context for eligible work.
Boundaries that stay attached
Keep organization, department, group, agent, user, session, run, and document context within their intended scope and environment.
Why it matters
What this changes once the work gets real.
Direct and inherited stay separate
Reviewers can tell what belongs to this agent and what it receives from a broader business scope.
Direct context can be maintained
Edit or remove agent-specific memory while inherited memory remains tied to its owning scope.
Memory follows existing controls
Policy, data protection, allowed write scopes, and approval checks still apply when context is stored or used.
Give AI employees useful context without creating a mystery box.
Keep what matters close to the work, and keep its source, scope, and review state visible.