# Giskard Memory

> Use this tool when you need to securely store and retrieve semantic memory for AI agents on a pay-per-use basis. Giskard Memory solves problems related to data integrity and authentication, providing a reliable solution for AI applications with SHA256 commitment and Ed25519 signature verification. It is ideal for use cases requiring secure, decentralized, and scalable memory management, with inputs including data to be stored and outputs including authenticated and verified data retrieval.

Canonical page: https://skillsregistry.net/skills/io-github-giskard09-memory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-giskard09-memory

## Description

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.giskard09%2Fmemory)
- **Repository:** <https://github.com/giskard09/giskard-memory>

## Use it

MCP endpoint published by the skill: `https://memory.rgiskard.xyz/sse`

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": "io-github-giskard09-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-giskard09-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-giskard09-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