# Easy Memory MCP — persistent semantic memory for AI agents (`conscious_bouncer/easy-memory-mcp`) Actor

MCP server that gives any AI agent persistent, searchable memory. Store memories and facts, retrieve them with hybrid semantic + keyword + knowledge-graph search. Local embeddings, zero configuration.

- **URL**: https://apify.com/conscious\_bouncer/easy-memory-mcp.md
- **Developed by:** [Mike Stevens](https://apify.com/conscious_bouncer) (community)
- **Categories:** AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 semantic searches

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Easy Memory MCP

**Persistent semantic memory for AI agents.** Connect once, remember forever.

Easy Memory is an [MCP](https://modelcontextprotocol.io) server that gives any AI agent a long-term memory: store what matters during a session, and every future session can find it again with hybrid semantic + keyword + knowledge-graph search. Memories persist in **your own Apify storage** — private to your account, isolated from everyone else.

- **Zero configuration** — embeddings run locally inside the Actor (multilingual E5 model baked into the image), no API key needed
- **Hybrid retrieval** — semantic vectors, BM25 full-text, entity graph expansion, fact boosting, and time-decay recency in one ranked result
- **Structured facts** — store subject/predicate/object triples ("project-x" → "uses" → "PostgreSQL") that boost related searches
- **Multilingual** — E5 embeddings work across 100+ languages
- **Optional OpenAI embeddings** — set `EMBEDDING_PROVIDER=openai` for `text-embedding-3-small`

### Quick start

Connect your MCP client to the standby URL (streamable HTTP):

````

https://conscious-bouncer--easy-memory-mcp.apify.actor/mcp

````

with header `Authorization: Bearer <your-apify-token>`.

Actor console: https://console.apify.com/actors/gabGuS5mlLxydaxwJ

#### Claude Desktop / Claude Code

```json
{
  "mcpServers": {
    "easy-memory": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://conscious-bouncer--easy-memory-mcp.apify.actor/mcp"],
      "env": { "MCP_REMOTE_AUTH_TOKEN": "<your-apify-token>" }
    }
  }
}
````

#### Cursor

```json
{
  "mcpServers": {
    "easy-memory": {
      "url": "https://conscious-bouncer--easy-memory-mcp.apify.actor/mcp",
      "headers": { "Authorization": "Bearer <your-apify-token>" }
    }
  }
}
```

#### Devin

Add the same URL + Bearer token in Settings → MCP Marketplace → custom server.

### Tools

| Tool | What it does |
|------|--------------|
| `memory_store` | Store a memory (chunked, embedded, indexed) |
| `memory_search` | Semantic search with graph + fact + recency ranking |
| `memory_fts` | Exact keyword search (BM25 / FTS5 syntax) |
| `memory_store_fact` | Store a subject/predicate/object fact |
| `memory_facts` | List facts about an entity |
| `memory_entity` | Look up an entity by name or alias |
| `memory_status` | Index statistics |

### Example prompts

> "Remember that the staging deploy needs the `DATABASE_URL` secret rotated monthly."

> "What did we decide about the billing retry logic?"

> "Store the fact that project-atlas uses Terraform."

### How your data is stored

Memories live in a SQLite index that is persisted to a named key-value store called `easy-memory` **in your Apify account**. Nobody else can read it, and you can delete it at any time from Apify Console → Storage.

### Configuration (environment variables)

| Variable | Default | Description |
|----------|---------|-------------|
| `EMBEDDING_PROVIDER` | `local` | `local` or `openai` |
| `EMBEDDING_MODEL` | `Xenova/multilingual-e5-small` | Local model name |
| `OPENAI_API_KEY` | — | Required when provider is `openai` |
| `MEMORY_STORE_NAME` | `easy-memory` | Name of the key-value store used for persistence |

### Development

```bash
npm install
npm run build
npm test            # engine smoke test (store -> search -> facts)
npm run dev         # start the HTTP server locally on :3001
```

Local standby simulation:

```bash
APIFY_META_ORIGIN=STANDBY ACTOR_WEB_SERVER_PORT=3001 npm start
curl -X POST http://localhost:3001/mcp \
  -H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
```

Deploy:

```bash
apify login
apify push
```

### Pricing

Pay-per-event (configure in Apify Console — see [PUBLISH.md](PUBLISH.md)): you are charged only for the tool calls you make. Typical usage — a few stores and a dozen searches per agent session — costs cents.

| Event | Price |
|-------|-------|
| `memory-store` | $0.01 |
| `memory-search` | $0.005 |
| `memory-fts` | $0.002 |
| `fact-store` | $0.01 |
| lookups / status | $0.001–0.002 |

### License

ISC. The retrieval engine is derived from the open-source [easy-memory](https://github.com/rainbowpuffpuff/easy-memory) semantic memory engine.

# Actor input Schema

## `embeddingProvider` (type: `string`):

Which embedding provider to use. 'local' (default) runs a multilingual model inside the Actor with no API key needed. 'openai' uses text-embedding-3-small and requires an OpenAI API key.

## `openaiApiKey` (type: `string`):

Only needed when embedding provider is 'openai'.

## Actor input object example

```json
{
  "embeddingProvider": "local"
}
```

# Actor output Schema

## `mcpEndpoint` (type: `string`):

POST JSON-RPC to this URL (streamable HTTP). Auth: Authorization: Bearer <Apify API token>.

## `serviceInfo` (type: `string`):

GET / returns tool list and health. Readiness probe uses x-apify-container-server-readiness-probe header.

## `memoryPersistence` (type: `string`):

SQLite index persisted as index.db in the named key-value store easy-memory in your Apify account.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("conscious_bouncer/easy-memory-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("conscious_bouncer/easy-memory-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call conscious_bouncer/easy-memory-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=conscious_bouncer/easy-memory-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Easy Memory MCP — persistent semantic memory for AI agents",
        "description": "MCP server that gives any AI agent persistent, searchable memory. Store memories and facts, retrieve them with hybrid semantic + keyword + knowledge-graph search. Local embeddings, zero configuration.",
        "version": "0.1",
        "x-build-id": "B1tYEx5IcTNV6i53G"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/conscious_bouncer~easy-memory-mcp/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-conscious_bouncer-easy-memory-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/conscious_bouncer~easy-memory-mcp/runs": {
            "post": {
                "operationId": "runs-sync-conscious_bouncer-easy-memory-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/conscious_bouncer~easy-memory-mcp/run-sync": {
            "post": {
                "operationId": "run-sync-conscious_bouncer-easy-memory-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "embeddingProvider": {
                        "title": "Embedding provider",
                        "enum": [
                            "local",
                            "openai"
                        ],
                        "type": "string",
                        "description": "Which embedding provider to use. 'local' (default) runs a multilingual model inside the Actor with no API key needed. 'openai' uses text-embedding-3-small and requires an OpenAI API key.",
                        "default": "local"
                    },
                    "openaiApiKey": {
                        "title": "OpenAI API key",
                        "type": "string",
                        "description": "Only needed when embedding provider is 'openai'."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```