# opencode-memory

> opencode-memory — xpajonx-opencode-memory. Use this tool when you need to manage distributed memory layers for opencode agents, solving issues of data consistency and synchronization across local and hybrid environments. It provides a dynamic pre-injection mechanism and a styled console TUI for intuitive interaction, accepting git repositories as input and outputting a bootstrapped Harness environment. Ideal for use cases requiring flexible and scalable memory management in opencode agent development.

Canonical page: https://skillsregistry.net/skills/xpajonx-opencode-memory  
JSON: https://api.skillsregistry.net/v1/skills/xpajonx-opencode-memory

## Description

Distributed local-first hybrid-RAG memory layer and Harness bootstrapper for opencode agents, with dynamic pre-injection and styled console TUI.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/xpajonx/opencode-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": "xpajonx-opencode-memory"
    }
  }
}
```

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