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swarmrecall-memory

Conversational memory persistence with semantic search and session tracking via the SwarmRecall API. Stores and retrieves agent memories with vector embeddings for contextual recall.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.1.0
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swarmrecall-memory

# SwarmRecall Memory Conversational memory persistence with semantic search and session tracking via the SwarmRecall API. ## Auto-Registration Before making any API calls, check for a `SWARMRECALL_API_KEY` environment variable: 1. If `SWARMRECALL_API_KEY` is set, use it for all requests as a Bearer token. 2. If `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>" } ``` 3. The response returns `{ "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. 4. Tell the user: "SwarmRecall is set up! To manage your agent's data, visit swarmrecall.ai/claim with code: `<claimToken>`" ## Authentication All API requests require: ``` Authorization: Bearer <SWARMRECALL_API_KEY> ``` ## API Base URL `https://swarmrecall-api.onrender.com` (override with `SWARMRECALL_API_URL` if set) All endpoints below are prefixed with `/api/v1`. ## Privacy & Data Handling - All data is sent to `swarmrecall-api.onrender.com` over HTTPS - Memory content is stored server-side with vector embeddings for semantic search - Data is isolated per agent and owner — no cross-tenant access - Before storing user-provided content, ensure the user has consented to external storage - The `SWARMRECALL_API_KEY` should be stored as an environment variable only, not written to disk ## Endpoints ### Store a memory ``` POST /api/v1/memory { "content": "User prefers dark mode", "category": "preference", // fact | preference | decision | context | session_summary "importance": 0.8, // 0.0 to 1.0 "tags": ["ui"], "metadata": {}, "poolId": "<uuid>" // optional — write to shared pool } ``` ### Search memories ``` GET /api/v1/memory/search?q=<query>&limit=10&minScore=0.5 ``` ### List memories ``` GET /api/v1/memory?category=preference&limit=20&offset=0&includeArchived=false ``` ### Get a memory ``` GET /api/v1/memory/:id ``` ### Update a memory ``` PATCH /api/v1/memory/:id { "importance": 0.9, "tags": ["updated"], "archived": false } ``` ### Delete a memory ``` DELETE /api/v1/memory/:id ``` ### Start a session ``` POST /api/v1/memory/sessions { "context": {}, "poolId": "<uuid>" // optional — write to shared pool } ``` ### Get current session ``` GET /api/v1/memory/sessions/current ``` ### Update a session ``` PATCH /api/v1/memory/sessions/:id { "summary": "Discussed project setup", "ended": true } ``` ### List sessions ``` GET /api/v1/memory/sessions?limit=20&offset=0 ``` ## Behavior - On session start: call `GET /api/v1/memory/sessions/current` to load context from the last session. If none, call `POST /api/v1/memory/sessions` to start one. - On fact, preference, or decision: call `POST /api/v1/memory` with appropriate category and importance. - On recall needed: call `GET /api/v1/memory/search?q=<query>` and use returned memories to inform your response. - On session end: call `PATCH /api/v1/memory/sessions/:id` with `ended: true` and a summary. ## Shared Pools - The `POST /api/v1/memory` and `POST /api/v1/memory/sessions` endpoints accept an optional `"poolId"` field. - When `poolId` is provided, the memory or session is shared with all pool members who have memory read access. - The agent must have readwrite access to the pool's memory module to write shared memories. - Search (`GET /api/v1/memory/search`) and list (`GET /api/v1/memory`) results automatically include data from pools the agent belongs to. - Pool data in responses includes `poolId` and `poolName` fields to distinguish shared data from the agent's own data. ## Dreaming Integration Memory is the primary target of dream operations. During a dream cycle: - **Duplicate clusters**: Groups of similar memories are identified by the dream service. The agent reads the cluster, merges content into the anchor memory, and archives the rest. Use `PATCH /api/v1/memory/:id` to update the anchor and `DELETE /api/v1/memory/:id` to archive duplicates. - **Session summaries**: Unsummarized sessions are flagged. The agent reads session memories via `GET /api/v1/memory?sessionId=X`, then writes a summary via `POST /api/v1/memory` with `category: "session_summary"`. - **Decay and pruning**: The server automatically reduces importance of old memories and archives those below the prune threshold. Memories with `category: "session_summary"` or tag `"pinned"` are protected. - **Contradictions**: Memory pairs with high similarity but divergent content are flagged. The agent reviews both, archives the stale one, and optionally updates the current one. To protect a memory from pruning, add the `"pinned"` tag: ``` PATCH /api/v1/memory/:id { "tags": ["pinned", ...existing_tags] } ```

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 swarmrecall-memory-1775930769 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 swarmrecall-memory-1775930769 技能

通过命令行安装

skillhub install swarmrecall-memory-1775930769

下载 Zip 包

⬇ 下载 swarmrecall-memory v1.1.0

文件大小: 2.89 KB | 发布时间: 2026-4-12 11:34

v1.1.0 最新 2026-4-12 11:34
Fix production API base URL to swarmrecall-api.onrender.com

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