What is hmem for OpenClaw?

hmem is a local SQLite-backed MCP server that gives AI agents persistent hierarchical memory across sessions, solving the 'my agent forgot everything' problem.

How does hmem's 5-level hierarchy work?

Agents load only L1 summaries on startup (~20 tokens), then drill deeper on demand through 5 levels of increasing detail, keeping context usage minimal.

Does hmem work with tools other than OpenClaw?

Yes, hmem works across Claude Code, Cursor, Windsurf, and any MCP-compatible tool.

How many Show HN launches did hmem have?

Three Show HN launches: Feb 22, Mar 1, and early March 2026, showing steady iteration and community interest.

What alternatives to hmem exist for OpenClaw memory?

Competitors include Mem0, memsearch (Milvus-backed), Cognee, and OpenClaw's built-in memorySearch (vector embeddings over Markdown files).

← Back to dashboard

clawsmith.com/signal/hmem-mcp-openclaw-memory-persistence

📈 TrendsUnknownMCP ServerLive

hmem: persistent hierarchical 5-level memory for AI agents via MCP (3 Show HN launches)

Local SQLite-backed MCP server gives AI agents persistent hierarchical memory. Agents load only L1 summaries on startup (~20 tokens), then drill deeper on demand. Works across Claude Code, Cursor, Windsurf. Three Show HN launches.

Product Idea from this Signal

A memory system that gives OpenClaw agents persistent recall that survives session crashes and context window degradation

49.8k ▲

OpenClaw agents lose their entire conversation history between sessions even when the files exist on disk. Silent daily session resets wipe agent memory without warning. Meanwhile, every frontier LLM degrades past 50K tokens (proven by Chroma across 18 models), meaning even within a session, agents progressively forget earlier context. ByteDance's OpenViking (19K stars in two weeks) proves massive demand for agent memory infrastructure. This tool gives OpenClaw agents a persistent, queryable memory layer that survives crashes, session boundaries, and context window limits by storing structured knowledge externally and injecting only relevant memories per turn.

DEVTOOLCLIAI-AGENTOPEN-SOURCE

CompetitiveView Opportunity →