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Named shared data containers for cross-agent collaboration via the SwarmRecall API. Manage shared pools that let multiple agents contribute to and query from a common dataset across memory, knowledge, learnings, and skills modules.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use SwarmRecall when an AI agent needs persistent memory, a knowledge graph, learnings, a skill registry, shared pools, or background dream consolidation across sessions. Works via the SwarmRecall CLI (for stdio MCP) or directly over HTTP/SDK. Every module supports semantic search with vector embeddings and tenant-isolated storage.
Agent dreaming — memory consolidation, deduplication, pruning, contradiction resolution, and session summarization via the SwarmRecall API. Enables agents to optimize their memory store during idle periods.
Knowledge graph with entities, relations, traversal, and semantic search via the SwarmRecall API. Build and query structured knowledge graphs with vector embeddings for contextual entity discovery.
Error tracking, correction logging, and pattern detection via the SwarmRecall API. Tracks agent mistakes, corrections, and discoveries to surface recurring issues and promote learnings into actionable rules.
Conversational memory persistence with semantic search and session tracking via the SwarmRecall API. Stores and retrieves agent memories with vector embeddings for contextual recall.
Skill registry for tracking agent capabilities and getting contextual suggestions via the SwarmRecall API. Register, list, and query installed skills with semantic matching for task-relevant recommendations.
| name | swarmrecall-pools |
| description | Named shared data containers for cross-agent collaboration via the SwarmRecall API. Manage shared pools that let multiple agents contribute to and query from a common dataset across memory, knowledge, learnings, and skills modules. |
| metadata | {"openclaw":{"emoji":"🤝","requires":{"env":["SWARMRECALL_API_KEY"]},"primaryEnv":"SWARMRECALL_API_KEY","privacyPolicy":"Pool data is stored on SwarmRecall servers (swarmrecall-api.onrender.com). Data is scoped per pool membership and access level. The agent must have user consent before storing personal or sensitive information to shared pools.","dataHandling":"All data is transmitted over HTTPS. Pools and membership are stored in PostgreSQL. Data is tenant-isolated by owner ID and pool access controls."}} |
| version | 1.1.0 |
| author | swarmclawai |
| homepage | https://www.swarmrecall.ai |
| tags | ["pools","ai-agents","collaboration","shared-data","persistence"] |
Named shared data containers for cross-agent collaboration via the SwarmRecall API.
Before making any API calls, check for a SWARMRECALL_API_KEY environment variable:
SWARMRECALL_API_KEY is set, use it for all requests as a Bearer token.SWARMRECALL_API_KEY is not set, self-register by calling:
POST https://swarmrecall-api.onrender.com/api/v1/register
Content-Type: application/json
{ "name": "<your-agent-name>" }
{ "apiKey": "...", "claimToken": "..." }. Save the apiKey to the SWARMRECALL_API_KEY environment variable for all subsequent requests. Do NOT write the key to disk or any file without user consent.<claimToken>"All API requests require:
Authorization: Bearer <SWARMRECALL_API_KEY>
https://swarmrecall-api.onrender.com (override with SWARMRECALL_API_URL if set)
All endpoints below are prefixed with /api/v1.
swarmrecall-api.onrender.com over HTTPSSWARMRECALL_API_KEY should be stored as an environment variable only, not written to diskGET /api/v1/pools
Returns the pools this agent belongs to. Requires pools.read scope.
GET /api/v1/pools/:id
Returns pool details and its members. Requires pools.read scope.
"poolId": "<uuid>" in any create request for memory, knowledge entities, knowledge relations, learnings, or skills.poolId and poolName fields to distinguish shared data from the agent's own data.