AgentPrizm gives AI agents persistent, governed memory, reusable skills, and an audit receipt for every recall over REST and MCP. It resolves contradictions, tracks fact-validity windows, preserves history, and supports right-to-forget. Built for coding, support, sales, and regulated workflows. Try a live recall in the no-signup playground, then connect Claude Code, Cursor, OpenClaw, or any MCP-capable agent. Plus, it is already available as an OpenClaw skill on ClawHub.

Hi Product Hunt, I'm Gene Avakyan, founder of AgentPrizm. AI agents have one expensive flaw: they forget context between sessions, projects, and teams. And when they do remember something, most teams still cannot see why that memory surfaced. We built AgentPrizm as the memory and reusable-skills layer for agentic workflows: - governed memory containers - fact-validity windows - confidence signals - recall receipts - REST API - remote MCP - reusable AgentSkills The point is simple: agents should not just remember. They should remember with proof. We're using AgentPrizm inside our own companies and opening early access to builders who are shipping agents into real workflows: coding, support, sales, operations, research, and regulated work. I'd love feedback from people building with agents now: what memory failures are costing you time, trust, or customers? Try it here: https://agentprizm.com

honestly the fact-validity windows thing is super useful, but i'd love to see a visual diff tool in the playground so you can see how the memory evolves over time as new info comes in. would make debugging weird agent behavior way easier.

The fact-validity windows and audit receipts for every recall show real thought about what agents actually need in regulated environments. Glad someone is finally taking memory governance seriously instead of bolting it on later.

AgentPrizm

AI agent memory + skills; API over REST + MCP

AI agent memory + skills; API over REST + MCP