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larios613-hub

Memory Tree Pipeline

by larios613-hub · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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Install in OpenClaw
/install memory-tree-pipeline
Description
Three-scope structured memory for AI agents. Automatically organize, summarize, and index agent memory with sealing workers and topic extraction.
README (SKILL.md)

Memory Tree — Three-Scope Structured Memory

A structured memory system with three scopes (source, topic, global) that automatically organizes, summarizes, and indexes agent memory. Never lose context again.

Architecture

Source (raw) → Topic (summarized) → Global (cross-topic knowledge)
   134 files         13 files              6 files

Quick Start

from memory_tools import MemoryTools

tools = MemoryTools(workspace="/path/to/workspace")

# Store a memory
tools.store("User prefers dark mode for all UI", topic_hint="preferences")

# Recall memories
results = tools.recall("dark mode", scope="global")

# Seal source → topic summaries
tools.seal()

# Check status
status = tools.status()
# → {"source_files": 134, "topic_files": 13, "global_files": 6}

Features

  • Three-scope hierarchy: Source → Topic → Global
  • Automatic sealing: Raw memories compressed into topic summaries
  • Topic extraction: Automatic categorization by content
  • Index management: Full-text search across all scopes
  • Budget enforcement: Topic files \x3C 2000 tokens, Global \x3C 5000 tokens
  • Idempotent sealing: Safe to run multiple times

Testing

python -m pytest test_memory_tree.py -v
# 15 tests passing

License

MIT

Capability Tags
cryptorequires-walletrequires-sensitive-credentials
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install memory-tree-pipeline
  3. After installation, invoke the skill by name or use /memory-tree-pipeline
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - three-scope structured memory with sealing, indexing, and budget enforcement
Metadata
Slug memory-tree-pipeline
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Memory Tree Pipeline?

Three-scope structured memory for AI agents. Automatically organize, summarize, and index agent memory with sealing workers and topic extraction. It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.

How do I install Memory Tree Pipeline?

Run "/install memory-tree-pipeline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Memory Tree Pipeline free?

Yes, Memory Tree Pipeline is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Memory Tree Pipeline support?

Memory Tree Pipeline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Memory Tree Pipeline?

It is built and maintained by larios613-hub (@larios613-hub); the current version is v1.0.0.

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