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AgentPrizm
AI agent memory + skills; API over REST + MCP
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
About AgentPrizm on Product Hunt
“AI agent memory + skills; API over REST + MCP”
AgentPrizm was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #16 on the daily leaderboard. 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.
On the analytics side, AgentPrizm competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AgentPrizm performed against the three products that launched closest to it on the same day.
Who hunted AgentPrizm?
AgentPrizm was hunted by Gene Avakyan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AgentPrizm including community comment highlights and product details, visit the product overview.
Gene Avakyan