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AgentMemory

Why This is an Opportunity

Agent session management is the #1 infrastructure pain point in 2026. OpenClaw session bloat was literally trending today, and agents losing context between runs wastes hours of repeated work.

Key Pain Points

  • Your Claude Code agent repeats the same mistakes it made yesterday because it has no memory
  • OpenClaw sessions bloat to gigabytes and slow your entire system to a crawl
  • You manually paste context from previous runs into new sessions as a workaround
  • There's no standard way for agents to learn from past failures across sessions
Market Opportunity
AI Agent Infrastructure and Memory Management Tools Market
Current Size (2026)
$1.8B
Projected (2036)
$37.2B
CAGR
35.3%
This market is projected to grow 1967% over the next 10 years, reaching $37.2B by 2036.

MVP Kit Available

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Features included:

Persistent Agent Memory API
Session Continuity Manager
Contextual Recall Search
Memory TTL & Scoping

Original Discovery

A persistent memory and session management layer for AI agent workflows. You install it as an MCP server, and every agent you run (Claude Code, OpenClaw, custom agents) can store context, learn from past runs, and avoid repeating mistakes. It handles session cleanup, cross-session learning, and configurable memory policies — so your agents get smarter over time instead of starting from zero every run.

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