Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
OpenClaw Memory Core
Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).
skill openclawclawhub Free
Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).
β¬ 0 downloads β
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.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, package-lock.json, package.json, scripts/scan-secrets.sh, src/embedding.ts
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- homeofe
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Memory Core
Shared library powering OpenClaw's memory plugins (openclaw-memory-brain and openclaw-memory-docs). Provides three core modules:
Redaction
Automatically detects and redacts secrets before they reach memory storage. Covers: API keys (OpenAI, Anthropic, Stripe, Google, GitHub PATs) AWS credentials (access keys, secret keys) Azure storage keys, HashiCorp Vault tokens JWTs, Bearer tokens, PEM private key blocks Usage: pipe any text through the redactor before storing β secrets are replaced with safe [REDACTED:TYPE] placeholders.
JSONL Store
Local file-based memory store using append-only .jsonl files. Features: CRUD for memory items (kinds: fact, decision, doc, note) Expiration support (expiresAt field) Semantic search via cosine similarity on embeddings No external database required β everything lives in flat files
Embeddings
Deterministic, offline, dependency-free text embedder (HashEmbedder): FNV-1a hash-based vector generation (default 256 dimensions) L2 normalization for cosine similarity search No API calls, no model downloads β works fully offline Not SOTA semantics, but stable and fast for local vector search
Integration
This is a dependency library, not a standalone plugin. Install it as a package dependency: npm install @elvatis_com/openclaw-memory-core Used internally by openclaw-memory-brain (auto-capture) and openclaw-memory-docs (explicit capture).
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
2 Docs2 Scripts2 Config
- SKILL.md
- README.md
- scripts/scan-secrets.sh
- src/embedding.ts
- package-lock.json
- package.json