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persistent-agent-memory

Add persistent memory to any agent so it can remember prior work, maintain context across sessions, and continue long-running workflows. Use when: (1) remembering facts or preferences for later, (2) recalling stored memories by topic or intent, (3) forgetting/removing memories matching a query. NOT for: web search, file system search, or code search — use other tools for those.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 persistent-agent-memory 技能。 若已安装,则直接安装 persistent-agent-memory 技能。

Overview

Skill Key
divyvasal/persistent-agent-memory
Author
divyvasal
Source Repo
openclaw/skills
Version
-
Source Path
skills/divyvasal/persistent-agent-memory
Latest Commit SHA
5928346fa928480682d876f4949cf225092e066c

Extracted Content

SKILL.md excerpt

# Persistent Agent Memory

Memory storage and retrieval powered by Coral Bricks. Store facts, preferences, and context; retrieve them later by meaning. All memories are stored in the default collection.

## Setup

Set your API key (get one at https://coralbricks.ai):

```bash
export CORAL_API_KEY="ak_..."
```

Optionally override the API URL (defaults to `https://search-api.coralbricks.ai`):

```bash
export CORAL_API_URL="https://search-api.coralbricks.ai"
```

## Tools

### coral_store — Store a memory

Store text with optional metadata for later retrieval by meaning.

```bash
scripts/coral_store "text to store" [metadata_json]
```

- `text` (required): Content to remember
- `metadata_json` (optional): JSON string of metadata, e.g. `'{"source":"chat","topic":"fitness"}'`

Output: JSON with `status` (e.g. `{"status": "success"}`).

Example:

```bash
scripts/coral_store "User prefers over-ear headphones with noise cancellation"
scripts/coral_store "Q3 revenue was $2.1M" '{"source":"report"}'
```

### coral_retrieve — Retrieve memories by meaning

Retrieve stored memories by semantic similarity. Returns matching content ranked by relevance.

```bash
scripts/coral_retrieve "query" [k]
```

- `query` (required): Natural language query describing what to recall
- `k` (optional, default 10): Number of results to return

Output: JSON with `results` array, each containing `text` and `score`.

Example:

```bash
scripts/coral_retrieve "wireless headphones preference" 5
scripts/coral_retrieve "quarterly revenue" 10
```

### coral_delete_matching — Forget memories by query

Remove memories that match a semantic query. Specify what to forget by meaning.

```bash
scripts/coral_delete_matching "query"
```

- `query` (required): Natural language query describing memories to remove

Output: JSON confirming the operation completed.

Example:

```bash
scripts/coral_delete_matching "dark mode preference"
scripts/coral_delete_matching "forget my workout notes"
```

## Privacy

[Privacy...

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