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soolaugust/0CompactMem

by Various

Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, mu

S

MCP

soolaugust/0CompactMem

Added 7 June 2026

#agent-framework #agent-memory #ai-agents #claude #claude-code #context-compaction #context-management #cursor

Overview

0CompactMem provides persistent memory for Claude Code and other LLM agents using OS memory primitives like demand paging and mlock pinning. It stores memory in a single SQLite file and is MCP-native, allowing multiple agents to share the same memory.

Best for

Best for
Developers building multi-agent LLM systems that need efficient, shared persistent memory with OS-level control

Use cases

  • Persistent memory for LLM agent sessions across restarts
  • Shared memory context for multi-agent collaboration
  • Efficient memory management using OS-level demand paging

Notes

0CompactMem provides persistent memory for Claude Code and other LLM agents using OS memory primitives like demand paging and mlock pinning. It stores memory in a single SQLite file and is MCP-native, allowing multiple agents to share the same memory.

0 stars on GitHub. Last updated 2026-06-01.

Use cases

  • Persistent memory for LLM agent sessions across restarts
  • Shared memory context for multi-agent collaboration
  • Efficient memory management using OS-level demand paging

Pros

  • Leverages OS memory management (demand paging, mlock) for performance
  • Single SQLite file simplifies storage and portability
  • MCP-native design enables seamless multi-agent memory sharing

Cons

  • Low community adoption (0 stars) suggests early-stage or niche tool
  • Requires system-level configuration of OS primitives (swap, mlock)
  • Potential complexity in tuning memory constraints for different workloads

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages OS memory management (demand paging, mlock) for performance
  • Single SQLite file simplifies storage and portability
  • MCP-native design enables seamless multi-agent memory sharing

Cons

  • Low community adoption (0 stars) suggests early-stage or niche tool
  • Requires system-level configuration of OS primitives (swap, mlock)
  • Potential complexity in tuning memory constraints for different workloads

Pairs with

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