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infinite memory locall rag system for

High-precision memory with 100% recall accuracy for long contexts.

skill openclawclawhub Free

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High Signal

High-precision memory with 100% recall accuracy for long contexts.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: engine/memory_engine_parallel_lms.py, INSTALL.md, memory_service.py, references/AUTO_INTEGRATION.md, requirements.txt, scripts/ingest.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: mhndayesh
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 3 sections Open source page

Infinite Memory 🦞

High-precision RAG engine for deep context retrieval (Phase 16 Architecture).

recall_facts

Cmd: python scripts/recall.py "{{query}}" Goal: Search for facts in the historical database.

memorize_data

Cmd: python scripts/ingest.py "{{filename}}" "{{text}}" Goal: Store new data into the long-term memory.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Scripts2 Docs1 Files

INSTALL.md Docs
references/AUTO_INTEGRATION.md Docs
engine/memory_engine_parallel_lms.py Scripts
memory_service.py Scripts
scripts/ingest.py Scripts
requirements.txt Files