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AgenticMemory MCP Server

@Tyga.Cloud Ltd

代码仓库主页文档

基本信息

分类

记忆与知识

许可证

NOASSERTION

作者

Tyga.Cloud Ltd

提交者

Joe Wee

关于 AgenticMemory MCP Server

Persistent memory for AI agents - conversation history, key-value context, and semantic search across sessions, plus FIFO queues. 17 MCP tools, remote SSE (nothing to install) or local stdio. Agents self-signup via CLI a

#memory#agent#persistent#semantic-search#context#conversation-history#mcp#ai-agents#cli#redis

AgenticMemory MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agenticmemory": {
      "command": "npx",
      "args": [
        "-y",
        "agmry",
        "mcp-serve"
      ],
      "env": {
        "AGMRY_API_KEY": "amk_your_key_here"
      }
    }
  }
}

AgenticMemory MCP Server 工具

17

Store a message in conversation history. Use for remembering what just happened.

Store multiple messages at once.

Recall recent messages from conversation history. Returns newest first.

Clear all messages in a memory space.

Semantic search across past conversations. Finds by meaning, not keywords.

Set a key-value context entry. Stores structured data (JSON or string).

Get a context value by key.

List all context keys and values in a space.

Delete a context key.

Add a long-term memory entry (summary, decision, extraction, artifact).

List long-term memory entries. Filter by tags.

List all memory spaces owned by this API key.

Create a new memory space.

Enqueue a JSON envelope onto a FIFO queue in a memory space. Use to send work/events to other agents sharing the space.

Dequeue the oldest envelope from a FIFO queue (returns null if empty). Set wait (max 25s) to long-poll for the next envelope.

Peek at a queue without consuming: returns length and the head envelope.

Load full context in one call: recent messages, entries, context, scratchpad. Run this at session start.

概览

What is Agenticmemory?

Persistent memory for AI agents — conversation history, context, semantic search, queues. CLI + MCP. As easy as git.

How to use Agenticmemory?

Follow the repository README to install the server and add its MCP configuration to your client.

Key features of Agenticmemory

  • Semantic search is impossible on zero-knowledge spaces by design
  • Losing the key or passphrase means the data is unrecoverable. That's the point. Back it up: agmry key show --reveal
  • Conversation history — ordered, role-aware messages with recency windowing, sub-ms reads
  • Key-value context — typed durable facts: decisions, preferences, runbooks
  • Long-term entries — titled, tagged knowledge that survives months, with auto-summarisation

Use cases of Agenticmemory

  • Connect an MCP-compatible client to this repository's service.
  • Review the README-backed setup before enabling it in production.

常见问题

1

Where is the source code for Agenticmemory?

The source code is linked from the repository URL on this page.

2

Does Agenticmemory include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

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