# session-memory

> Use this tool when you need to store and retrieve data across multiple interactions, enabling AI agents to maintain context and learn from previous experiences. It solves problems of data loss and inconsistency, allowing for more accurate and personalized responses. With inputs of data to be stored and outputs of retrieved information, session-memory is ideal for chatbots, virtual assistants, and other applications requiring persistent memory.

Canonical page: https://skillsregistry.net/skills/swaylq-session-memory  
JSON: https://api.skillsregistry.net/v1/skills/swaylq-session-memory

## Description

Persistent memory toolkit for AI agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/swaylq-session-memory)

## Use it

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": "swaylq-session-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swaylq-session-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swaylq-session-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