mem9.ai (@mem9

mem9.ai

37 posts

mem9.ai

@mem9_ai

Unlimited memory for AI Agents Your agents forget everything between sessions. mem9 fixes that. Install → mem9.ai

Joined March 2026

mem9.ai
@mem9_ai
Jul 17
Agent memory needs a failure trail. We just made mem9's recall path easier to reconstruct: the failing branch, canceled sibling searches, the source—database, inference, or request context—and whether retrying is reasonable.
mem9.ai
@mem9_ai
Jul 13
Over the past month, mem9 has been building toward predictable hosted memory usage: paid plans, quota-aware runtime behavior, and post-quota rate limits. Supported agent integrations now surface quota status, retry timing, and clear next steps when limits are reached.
mem9.ai
@mem9_ai
Jun 16
Made a small infrastructure optimization for mem9 Console recently. API latency is down noticeably. Tiny change on paper, much better feel in the product.
mem9.ai
@mem9_ai
Jun 10
mem9 is working on that event surface: webhook events for memory changes, signed delivery, retry tracking, delivery history, and routing policies for Space Chains. This makes memory state easier to observe and integrate.
mem9.ai
@mem9_ai
Jun 10
Agent memory needs more than recall. A production memory layer also needs to expose what changed, where it was routed, and whether downstream systems received the update.
mem9.ai
@mem9_ai
Jun 10
Agent memory needs more than recall. A production memory layer also needs to expose what changed, where it was routed, and whether downstream systems received the update.

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