# Agent Core

> Use this tool when you need to enhance your AI agent's capabilities with persistent memory, secure credential management, and streamlined connectivity. It solves problems related to data retention, authentication, and integration with external systems, providing a robust interface for inputting and outputting data through various connectors. Ideal for use cases requiring reliable activity tracking and management of AI agent interactions.

Canonical page: https://skillsregistry.net/skills/nikira-studio-agent-core  
JSON: https://api.skillsregistry.net/v1/skills/nikira-studio-agent-core

## Description

A local capability layer for AI agents providing persistent memory, credential management, connectors, and activity tracking.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rjvgx6lzjm)
- **Repository:** <https://github.com/nikira-studio/agent-core>

## 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": "nikira-studio-agent-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikira-studio-agent-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikira-studio-agent-core/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