Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Aura for OpenClaw
Compile multi-format documents into local queryable knowledge bases and manage persistent AI memory tiers using Aura Core with zero network requests.
skill openclawclawhub Free
Compile multi-format documents into local queryable knowledge bases and manage persistent AI memory tiers using Aura Core with zero network requests.
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, scripts/compile.py, scripts/memory.py, scripts/query.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. 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
- 0.1.4
Provenance
- Publisher
- AuralithInc
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Aura for OpenClaw
Persistent memory and instant knowledge retrieval for your OpenClaw agent. Compile 60+ file formats into queryable .aura archives and give your agent a 3-tier memory that survives sessions, compaction, and restarts. Memory OS v2.1 (auralith-aura>=0.2.2): Enhanced with temporal decay scoring, noise filtering, deduplication, bloom filters, SimHash fuzzy matching, and tiered priority scoring β zero RAM overhead.
Setup
pip install auralith-aura For full document support (PDFs, DOCX, etc.): pip install 'aura-core[all]'
Learn an entire codebase
You: Learn my project in ~/repos/api-service Agent: π₯ Compiling ~/repos/api-service... β Compiled 847 files β api-service.aura Indexed: Python (312), TypeScript (201), YAML (44), Markdown (73), JSON (217) You: How does the auth middleware handle token refresh? Agent: Based on src/middleware/auth.ts (lines 45-89), the auth middleware intercepts expired JWTs by checking the `exp` claim. When expired, it calls `refreshTokenService.rotate()` which issues a new access token and sets it via the `X-Refreshed-Token` response header. The original request is then replayed with the new token.
Compile legal docs with PII masking
You: Learn everything in ~/legal but mask any personal info Agent: π₯ Compiling with PII masking enabled... β Compiled β legal.aura Masked: 23 emails, 8 phone numbers, 4 SSNs You: What are the termination conditions in the Series A agreement? Agent: Per series_a_term_sheet.pdf, Section 7.2 β the agreement may be terminated by either party with 30 days written notice if: (a) material breach remains uncured after 15 business days, (b) insolvency or bankruptcy filing, or (c) failure to meet the minimum revenue threshold in Schedule B...
Remember facts across sessions
You: Remember that our production database is on us-east-1, the staging API key rotates every 30 days, and I prefer verbose error logs. Agent: β Written to /fact: β’ Production DB region: us-east-1 β’ Staging API key rotation: 30-day cycle β’ Preference: verbose error logging --- next day, new session --- You: Set up the deployment config for staging Agent: I remember your staging API key rotates every 30 days β I'll add a reminder comment in the config. Also setting error logging to verbose per your preference. Targeting us-east-1 since that's where your production DB lives...
Track decisions across a long project
You: We decided to use PostgreSQL over MongoDB for the user service, and the team agreed on GraphQL for the public API. Agent: β Written to /episodic: β’ Architecture decision: PostgreSQL for user service (over MongoDB) β’ API decision: GraphQL for public-facing API --- two weeks later --- You: Wait, should we use MongoDB for the new analytics service? Agent: Based on your earlier decision log β you chose PostgreSQL over MongoDB for the user service citing ACID compliance needs. The analytics service has different requirements (write-heavy, schema flexibility), so MongoDB could make sense here. Want me to draft a comparison?
Compile a Knowledge Base
When the user asks you to "learn", "compile", "index", or "remember" files from a directory: python {SKILL_DIR}/scripts/compile.py <input_directory> <output_file> Options: # Mask PII before compilation python {SKILL_DIR}/scripts/compile.py ./data knowledge.aura --pii-mask # Filter low-quality content python {SKILL_DIR}/scripts/compile.py ./data knowledge.aura --min-quality 0.3
Query the Knowledge Base
python {SKILL_DIR}/scripts/query.py knowledge.aura "search query here"
Agent Memory
Write to memory tiers: python {SKILL_DIR}/scripts/memory.py write pad "scratch note" python {SKILL_DIR}/scripts/memory.py write fact "verified information" python {SKILL_DIR}/scripts/memory.py write episodic "session event" Search and manage memory: python {SKILL_DIR}/scripts/memory.py query "search query" python {SKILL_DIR}/scripts/memory.py list python {SKILL_DIR}/scripts/memory.py usage python {SKILL_DIR}/scripts/memory.py prune --before 2026-01-01 python {SKILL_DIR}/scripts/memory.py end-session
Memory Tiers
TierWhat It StoresLifecycle/padWorking notes, scratch space, in-progress thinkingTransient β cleared between sessions/episodicSession transcripts, decisions, conversation historyAuto-archived β retained for reference/factVerified facts, user preferences, learned rulesPersistent β survives indefinitely
Supported File Types
Documents: PDF, DOCX, DOC, RTF, ODT, EPUB, TXT, HTML, PPTX, EML Data: CSV, TSV, XLSX, XLS, Parquet, JSON, JSONL, YAML, TOML Code: Python, JavaScript, TypeScript, Rust, Go, Java, C/C++, and 20+ more Markup: Markdown (.md), reStructuredText, LaTeX
External Endpoints
URLData SentNoneNone This skill makes zero network requests. All processing is local.
Data Provenance & Trust
Every memory entry stores source (agent/user/system), namespace, timestamp, session_id, and a unique entry_id. Nothing is inferred or synthesized β memory contains only what was explicitly written. No hidden embeddings, no derived data. memory.show_usage() # Inspect what's stored per tier memory.prune_shards(before_date="2026-01-01") # Prune by date memory.prune_shards(shard_ids=["specific_id"]) # Delete specific shards # Or delete ~/.aura/memory/ to wipe everything
Security & Privacy
No data leaves your machine. All compilation and memory operations run locally. The .aura format uses safetensors (no pickle) β no arbitrary code execution risk. Memory files are stored locally at ~/.aura/memory/. No environment variables or API keys are required. No telemetry, analytics, or usage reporting.
Model Invocation Note
This skill is autonomously invoked by the agent as part of its normal operation. The agent decides when to compile documents and manage memory based on user requests. You can disable autonomous invocation in your OpenClaw settings.
Trust Statement
By using this skill, no data is sent to any external service. All processing happens on your local machine. Only install this skill if you trust Auralith Inc.. Source code for the compiler and RAG components is available on GitHub.
Notes
Memory OS provides instant writes and background compilation to durable shards. Compiler and RAG components are open source (Apache 2.0). Memory OS is proprietary, free to use. For emphasis weighting and training features, see OMNI Platform.
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 Docs
- SKILL.md
- README.md
- scripts/compile.py
- scripts/memory.py
- scripts/query.py