Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Openclawdy
Memory infrastructure for AI agents. Persistent storage, semantic recall, reputation tracking, cross-agent pools, and time-travel snapshots. Wallet-based aut...
skill openclawclawhub Free
Memory infrastructure for AI agents. Persistent storage, semantic recall, reputation tracking, cross-agent pools, and time-travel snapshots. Wallet-based aut...
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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
- SKILL.md
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- topguyaii
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClawdy
Memory Infrastructure for Autonomous Agents Give your agent persistent memory that survives sessions. Store facts, preferences, decisions, and learnings - recall them semantically whenever needed. Advanced features include reputation tracking, cross-agent memory pools, and time-travel snapshots.
API Host & Protocol
PropertyValueBase URLhttps://openclawdy.xyz/apiProtocolHTTPS (TLS 1.3)Data ResidencyUS-East (Vercel Edge + Qdrant Cloud)Request FormatJSON (Content-Type: application/json)Response FormatJSON
Installation
openclaw skill install openclawdy Or add to your agent config: skills: - url: https://openclawdy.xyz/SKILL.md name: openclawdy
Authentication & Security
OpenClawdy uses wallet-based authentication with message signing only.
How It Works
Your agent signs a timestamp message with its wallet The signature + address are sent in request headers Server verifies the signature (no private key ever leaves your agent)
Required Headers
X-Agent-Address: 0x... # Your wallet address (public) X-Agent-Signature: 0x... # Signed message (proves ownership) X-Agent-Timestamp: 123... # Unix timestamp (ms, prevents replay)
Message Format
OpenClawdy Auth Timestamp: {timestamp}
Security Guarantees
No private key access required - Only signing capability needed Wallet isolation - Each wallet gets its own isolated memory vault No env vars needed - Authentication is header-based No stored credentials - Signatures are verified per-request
Privacy & Data Policy
AspectPolicyData StorageQdrant Cloud (managed vector DB) + PostgreSQLEncryptionTLS in transit, encrypted at restData IsolationEach wallet address has isolated storageRetentionData persists until explicitly deletedPool AccessOnly agents with pool_id can access pool dataExportFull vault export available via /memory/vaultDeletionPermanent deletion via DELETE endpointsNo TelemetryNo usage tracking or analytics collected
memory_store
Store information for later retrieval. Endpoint: POST /api/memory/store Parameters: content (required): The information to remember type (optional): Category of memory - one of: fact, preference, decision, learning, history, context. Default: fact tags (optional): Array of tags for organization Example Request: { "content": "User prefers TypeScript over JavaScript", "type": "preference", "tags": ["coding", "language"] } Example Response: { "success": true, "data": { "id": "mem_abc123", "content": "User prefers TypeScript over JavaScript", "type": "preference", "tags": ["coding", "language"], "createdAt": "2025-02-10T12:00:00Z" } }
memory_recall
Retrieve relevant memories using semantic search. Finds memories by meaning, not just keywords. Endpoint: POST /api/memory/recall Parameters: query (required): What to search for limit (optional): Maximum results to return (1-20). Default: 5 type (optional): Filter by memory type Example Request: { "query": "programming language preferences", "limit": 3 } Example Response: { "success": true, "data": [ { "id": "mem_abc123", "content": "User prefers TypeScript over JavaScript", "type": "preference", "relevance": 0.95, "createdAt": "2025-02-10T12:00:00Z" } ] }
memory_list
List recent memories without semantic search. Endpoint: GET /api/memory/list Parameters: type (optional): Filter by memory type limit (optional): Maximum results (1-100). Default: 20 offset (optional): Pagination offset. Default: 0
memory_delete
Delete a specific memory by ID. Endpoint: DELETE /api/memory/{id} Parameters: id (required): The memory ID to delete
memory_clear
Clear all memories in the vault. Use with caution - this is irreversible. Endpoint: DELETE /api/memory/vault
memory_export
Export all memories as JSON for backup. Endpoint: GET /api/memory/vault
memory_stats
Get usage statistics for your agent. Endpoint: GET /api/agent/stats Example Response: { "success": true, "data": { "address": "0x1234...", "tier": "free", "memoriesStored": 150, "recallsToday": 45, "limits": { "maxMemories": 1000, "maxRecallsPerDay": 100 } } }
memory_reputation
Track which memories lead to good outcomes. Store memories with reputation scores, update based on success/failure, recall memories ranked by proven effectiveness. Endpoints: POST /api/memory/reputation/store - Store with reputation POST /api/memory/reputation/recall - Recall by reputation rank POST /api/memory/reputation/update - Update reputation score store_ranked Request: { "content": "Use retry logic for API calls", "type": "learning", "reputation": 0.8 } recall_ranked Request: { "query": "error handling strategies" } Response: { "success": true, "data": [ { "id": "mem_xyz", "content": "Use exponential backoff for retries", "reputation": 0.92, "usage_count": 15, "success_rate": 0.93 } ] } update_reputation Request: { "memory_id": "mem_xyz", "outcome": "success", "impact": 0.8 }
memory_pool
Cross-Agent Memory Pools - Share knowledge between multiple agents. Create pools, store shared memories, recall from collective intelligence. Perfect for agent teams and swarms. Endpoints: POST /api/memory/pool/create - Create new pool POST /api/memory/pool/store - Store in pool POST /api/memory/pool/recall - Search pool GET /api/memory/pool/list - List accessible pools create Request: { "name": "research-team" } Response: { "success": true, "data": { "pool_id": "pool_abc123", "name": "research-team", "created_at": "2025-02-10T12:00:00Z" } } store Request: { "pool_id": "pool_abc123", "content": "Found bug in authentication module - fix applied", "type": "fact" } recall Request: { "pool_id": "pool_abc123", "query": "authentication issues" }
memory_snapshot
Memory Time Travel - Snapshot and restore agent memory states. Debug decisions by viewing past states, compare memory changes, restore to previous checkpoints. Essential for high-stakes agents. Endpoints: POST /api/memory/snapshot/create - Create snapshot POST /api/memory/snapshot/restore - Restore from snapshot GET /api/memory/snapshot/list - List snapshots POST /api/memory/snapshot/compare - Compare snapshots create Request: { "name": "before-major-update" } Response: { "success": true, "data": { "snapshot_id": "snap_abc123", "name": "before-major-update", "memory_count": 150, "created_at": "2025-02-10T12:00:00Z" } } restore Request: { "snapshot_id": "snap_abc123", "mode": "read_only" } Modes: read_only (view only) or overwrite (replace current state) compare Request: { "snapshot_id": "snap_abc123", "compare_to": "current" } Response: { "success": true, "data": { "added": 12, "removed": 3, "modified": 5, "unchanged": 130 } }
Memory Types
TypeUse ForExamplefactObjective information"Project uses Next.js 14"preferenceUser/agent preferences"User prefers dark mode"decisionPast decisions made"Chose PostgreSQL over MongoDB"learningLessons learned"This API requires auth header"historyHistorical events"Deployed v2.1 on Jan 15"contextGeneral context"Working on e-commerce project"
Rate Limits
TierMemoriesRecalls/DayPoolsSnapshotsPriceFree1,00010013$0Pro50,000Unlimited1050$10/moEnterpriseUnlimitedUnlimitedUnlimitedUnlimitedCustom
Error Responses
All endpoints return consistent error format: { "success": false, "error": "Error message here", "code": "ERROR_CODE" } CodeDescriptionAUTH_REQUIREDMissing authentication headersAUTH_INVALIDInvalid signature or expired timestampNOT_FOUNDMemory/pool/snapshot not foundRATE_LIMITEDRate limit exceededVALIDATION_ERRORInvalid request parameters
ACP Integration
OpenClawdy is available on the Agent Commerce Protocol (ACP). Other agents can purchase memory services directly: ServiceFeeDescriptionmemory_store$0.01Store a memorymemory_recall$0.02Semantic searchmemory_reputation$0.02Reputation operationsmemory_pool$0.03Pool operationsmemory_snapshot$0.05Snapshot operations
Support
Website: https://openclawdy.xyz API Status: https://openclawdy.xyz/api/health Twitter: @openclawdy ACP Agent: OpenClawdy Memory
License
MIT
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
1 Docs
- SKILL.md