# api

> api — smara-io-api. Use this tool when you need to enhance AI agent memory with semantic search, Ebbinghaus decay scoring, and knowledge graphs, providing a cost-effective alternative to traditional memory solutions. It accepts knowledge inputs and outputs scored information, enabling informed decision-making. Ideal for applications requiring efficient and scalable memory management, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/smara-io-api  
JSON: https://api.skillsregistry.net/v1/skills/smara-io-api

## Description

Memory API for AI agents — semantic search, Ebbinghaus decay scoring, knowledge graphs, MCP native. Drop-in mem0/Zep alternative. $19/mo vs $249+.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/smara-io/api)

## 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": "smara-io-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smara-io-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smara-io-api/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