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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Package facts
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- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Version
- 1.1.0
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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