# io.github.AIAppsAPI/adaptive-recall

> Use this tool when you need to enhance memory recall and knowledge retention with a self-improving adaptive system. It solves problems of information overload and forgetfulness by utilizing cognitive scoring, knowledge graph, and machine learning algorithms. This tool takes in data and user interactions as inputs and outputs optimized knowledge retrieval and recall recommendations.

Canonical page: https://skillsregistry.net/skills/io-github-aiappsapi-adaptive-recall  
JSON: https://api.skillsregistry.net/v1/skills/io-github-aiappsapi-adaptive-recall

## Description

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.AIAppsAPI%2Fadaptive-recall)
- **Repository:** <https://github.com/AIAppsAPI/adaptive-recall>

## 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": "io-github-aiappsapi-adaptive-recall"
    }
  }
}
```

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

---
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