# agent-memory

> Use this tool when you need to enhance AI agents with persistent memory, enabling them to recall and rank relevant information based on recency, importance, and user scope. It solves problems of knowledge retention and information overload by consolidating repeated events and automatically forgetting irrelevant data. Ideal for applications requiring personalized, long-term memory and intelligent information retrieval.

Canonical page: https://skillsregistry.net/skills/tahasiddiquii-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/tahasiddiquii-agent-memory

## Description

Provides long-term memory for AI agents with per-user scoped recall, ranking by relevance, recency, and importance, consolidation of repeated events, and automatic forgetting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oe0xe7zloo)
- **Repository:** <https://github.com/tahasiddiquii/agent-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": "tahasiddiquii-agent-memory"
    }
  }
}
```

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