What is G0t4 Mcp Server Memory File

g0t4_mcp-server-memory-file is an MCP server designed to interact with a memory text file, enabling Claude and other MCP clients to manage chat context through memory management functionalities.

Use cases

Use cases include personalizing user interactions by remembering names or preferences, managing context during multi-turn conversations, and enabling a more coherent dialogue by recalling past interactions.

How to use

To use g0t4_mcp-server-memory-file, you can utilize various commands such as memory_add to append memories, memory_search to find specific memories, memory_delete to remove memories, and memory_list to retrieve all stored memories.

Key features

Key features include the ability to add, search, delete, and list memories, allowing for dynamic interaction and context management during conversations. The server also supports memory updates through a combination of delete and add commands.

Where to use

g0t4_mcp-server-memory-file can be used in applications requiring conversational context management, such as virtual assistants, chatbots, and any interactive systems that benefit from remembering user interactions.

mcp-server-memory

This is an MCP server to interact with a memory text file to help Claude with inter-chat context.

Each line is a memory.

These tools allow Claude (and other MCP clients) to manage memories mid-chat:

• memory_add(memory: string) - append the memory
• memory_search(query: string) - return matching memories (substring exact match) - later, might allow globs/regex
• memory_delete(query: string) - delete matching memories (substring exact match)
• memory_list() - return all memories
• FYI memory_update == memory_delete + memory_add

For example,

• I mention my name => “talking to Wes”
• metion daughter’s age => “Wes’s daughter is 8”
• say working on a typescript project => “working on typescript project”
• AND, this is critical, can be based on things Claude (assistant/LLM) says or does…
  • Notably, tool use (i.e. run_command)… say there is a failure on a first attempt to use the tool (i.e. the python command isn’t present) and then a subsequent tool use succeeds (i.e. using python3 instead of python) => Claude can record “use python3, python is not present”…
• I ask Claude to get rid of memories about X => memory_delete(query: X)
• I correct my name => memory_search(“oldname”) + memory_delete(each matching record, or a common subset query) + memory_add(“newname”)

Then, when a new chat begins, Claude will automatically get recent memories (a subset or all) OR can ask for memories (some/more/all). And then can use those to influence responses/tools/etc.

Design

A simple memory text file, why:

• ChatGPT’s memory works well and is essentially a text file
  • Maybe it’s structured behind the scenes, however if you review your memory its presented as a text file.
• My testing of a similar reminders feature for mcp-server-commands worked great (when Claude had them).
• Unstructured text simplifies the tooling and parameters to basically managing a list of strings.

Cueing mechanism:

• It’s also important to have a cue for the model to know when to store memories. This is a bit more unclear how best to do this but…
• Training: OpenAI acknowledges some training of models to know when to store memories. Just like models are trained for tool use.
• Prompt: A system prompt component likely contains a reminder to trigger storing memories.
• Tool alone: In my testing of Claude, with a tool spec alone, and even with hints/suggestions in tool responses, I couldn’t get Claude to store memories. So this alone is not sufficient. Seems like Claude’s training with tools is to only use them in pursuit of the prompt/request and thus why I believe adding a reminder/cue in a prompt component will work well.

TODOs/Ideas

I have no idea if these are worth the time, just listing ideas here for the future. Perhaps in part to stop myself from working on them :)

• Recency factor: a way to rearrange memories based on recency?
  • Order then becomes relevant for ambiguous memory queries (i.e. work on typescript project and python project then I ask to start a new project, could suggest the most recently used one?)
• Fade out old memories?