OpenClaw

coral-memory

Memory storage and retrieval via Coral Bricks. Store facts, preferences, and context; retrieve them by meaning. 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.

divyvasal0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install divyvasal/coral-memory

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Coral Memory

Memory storage and retrieval powered by Coral Bricks embeddings (768-dim vectors). 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):

export CORAL_API_KEY="ak_..."

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

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.

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": "indexed"}). Use coral_delete_matching to remove memories by query.

Example:

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.

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. Use coral_delete_matching to remove memories by query.

Example:

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.

scripts/coral_delete_matching "query" [limit]

query (required): Natural language query describing memories to remove
limit (optional, default 1): Maximum number of matching memories...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/divyvasal/coral-memory
Version: —
Commit: ac6b0a8b99e5df74ae1e3b80e2482bcef7e3e900
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Coral Memory

Memory storage and retrieval powered by Coral Bricks embeddings (768-dim vectors). 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": "indexed"}`). Use coral_delete_matching to remove memories by query.

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`. Use coral_delete_matching to remove memories by query.

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" [limit]
```

- `query` (required): Natural language query describing memories to remove
- `limit` (optional, default 1): Maximum number of matching memories...

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