plur

周边生态记忆与上下文中文文档Apache-2.0
[](https://mcptoplist.com/server/io.github.plur-ai%2Fplur)

功能特性

  • Activation — retrieval strength that decays over time (ACT-R model) and strengthens on access. Stale facts naturally fade from injection without manual cleanup.
  • Feedback signals — positive/negative ratings that train injection quality over time
  • Scope — hierarchical namespace (global, project:myapp, cluster:prod, service:api) controlling where the engram applies
  • Polarity — automatic classification of "do" vs "don't" rules, so constraints are injected separately from directives
  • Associations — links to other engrams, including co-access edges that form automatically when engrams are recalled together
  • Plain-text you own — engrams are human-readable YAML you can read, git diff, edit, and provably delete. Not opaque vectors, agent-state blocks, or graph nodes you need tooling to inspect.

安装命令

dsh plugin add @plur-ai/dsh

项目预览

话题标签

#agent-memory#ai-agents#ai-memory#context-engine#llm#local-first#mcp
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