# ainative-opencode-memory-mcp

> ainative-opencode-memory-mcp — ainative-studio-ainative-opencode-memory-mcp. Use this tool when you need to retain knowledge and insights across coding sessions, enabling agents to learn from past experiences and make informed decisions. It solves the problem of knowledge loss and repetition by providing persistent memory for OpenCode coding agents, allowing them to store and recall crucial information via semantic search. This tool is ideal for use cases where coding agents require continuity and context to improve their performance and efficiency.

Canonical page: https://skillsregistry.net/skills/ainative-studio-ainative-opencode-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ainative-studio-ainative-opencode-memory-mcp

## Description

Provides persistent memory for OpenCode coding agents, allowing them to store and recall architecture decisions, conventions, and gotchas across sessions via semantic search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e73ng904km)
- **Repository:** <https://github.com/AINative-Studio/ainative-opencode-memory-mcp>

## 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": "ainative-studio-ainative-opencode-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ainative-studio-ainative-opencode-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ainative-studio-ainative-opencode-memory-mcp/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