# com.agishub/agent-memory

> com.agishub/agent-memory — com-agishub-agent-memory. Use this tool when you need to enable AI agents to store and recall text based on its meaning, solving problems of knowledge retention and retrieval in applications such as conversational interfaces and information retrieval systems. It takes in text inputs and outputs relevant information based on semantic similarity, utilizing techniques like RAG and vectorization. This tool is ideal for use cases where AI agents require persistent memory to provide accurate and contextually relevant responses.

Canonical page: https://skillsregistry.net/skills/com-agishub-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/com-agishub-agent-memory

## Description

Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 2.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.agishub%2Fagent-memory)
- **Repository:** <https://github.com/agishub/agishub-mcp>

## Use it

MCP endpoint published by the skill: `https://api.agishub.com/mcp/memory`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-agishub-agent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-agishub-agent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-agishub-agent-memory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt