# memory-mcp-ce

> Use this tool when you need to implement persistent semantic memory for AI agents, enabling cross-session continuity and semantic search. It solves problems of knowledge retention and retrieval, allowing agents to recall and build upon previous interactions. The tool takes in vector embeddings and PostgreSQL data as inputs, and outputs relevant information and search results, ideal for use cases requiring long-term memory and contextual understanding.

Canonical page: https://skillsregistry.net/skills/symbiomind-memory-mcp-ce  
JSON: https://api.skillsregistry.net/v1/skills/symbiomind-memory-mcp-ce

## Description

Persistent semantic memory for AI agents using PostgreSQL and vector embeddings, enabling cross-session continuity and semantic search.

## Trust

- **Trust score (0–1):** 0.09
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/khejwilnpj)
- **Repository:** <https://github.com/symbiomind/memory-mcp-ce>

## 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": "symbiomind-memory-mcp-ce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/symbiomind-memory-mcp-ce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/symbiomind-memory-mcp-ce/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