Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).
Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).
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Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.
Shared library powering OpenClaw's memory plugins (openclaw-memory-brain and openclaw-memory-docs). Provides three core modules:
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.
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
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
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).
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.