# Synaptra

> Synaptra — kaushikhazra-synaptra. Use this tool when you need to provide AI agents with a persistent and dynamic memory system, enabling them to store and recall information with features like time-based decay and multi-strategy retrieval. It solves problems related to knowledge retention and information management in AI systems, allowing for more efficient and effective decision-making. Synaptra accepts inputs through MCP tools, a command-line interface (CLI), and a Windows service, and outputs managed memories that can be updated and consolidated over time.

Canonical page: https://skillsregistry.net/skills/kaushikhazra-synaptra  
JSON: https://api.skillsregistry.net/v1/skills/kaushikhazra-synaptra

## Description

Synaptra is an MCP server that provides AI agents with persistent, biologically-inspired memory, featuring time-based decay, multi-strategy retrieval, automatic linking, and consolidation. It enables storing, recalling, updating, and managing memories through MCP tools, a CLI, and a Windows service.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f47voeq4l0)
- **Repository:** <https://github.com/kaushikhazra/synaptra>

## 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": "kaushikhazra-synaptra"
    }
  }
}
```

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