Engram vs Telemem

A side-by-side look at the Engram and Telemem MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Engram logoEngramKnowledge & Memory · Local subprocess (stdio)Persistent memory for AI agents — verbatim conversations, searchable by meaning.57GoodAuth: not declaredTelemem logoTelememKnowledge & Memory · Local subprocess (stdio)Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option64GoodAuth: not declared

Verdict: choose Engram for knowledge & memory work as a local process; choose Telemem for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Engram logoChoose Engram when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like create_conversation, append_messages, search.
Explore Engram

Telemem logoChoose Telemem when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like add_memory, search_memories, get_memories.
Explore Telemem

Feature & specification comparison

Rows where the two servers differ are marked.

SpecEngram logoEngramTelemem logoTelemem
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal57/100 · Good64/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars19494
Directory activity 2 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools68

Tools & capabilities

Engram tools 6

  • create_conversationStart a new conversation with optional title, tags, metadata
  • append_messagesAdd messages to an existing conversation
  • searchSemantic search across all conversations
  • get_conversationRetrieve a conversation with its messages
  • list_conversationsList conversations with filtering and pagination
  • delete_conversationRemove a conversation and its data

Telemem tools 8

  • add_memoryStore a fact, preference, or conversation in TeleMem long-term memory. Provide `text` for a single statement or `messages` for conversation turns. Scoped by user_id/agent_id/run_id; defaults to the server's default user.
  • search_memoriesSemantic search over TeleMem memories. Returns the matching memories as one consolidated text passage (TeleMem fuses related memories). Shared event memories (pseudo-user "events") are searched automatically.
  • get_memoriesList stored memories for a user/agent/run with their memory_ids. Use user_id "events" to list shared conversation-event memories.
  • get_memoryFetch a single memory by its memory_id.
  • update_memoryOverwrite the text of an existing memory by memory_id.
  • delete_memoryDelete a single memory by memory_id.
  • delete_all_memoriesDelete every memory in the given scope. Destructive: requires an explicit user_id, agent_id, or run_id — the default user is never assumed.
  • memory_historyShow the change history (ADD/UPDATE/DELETE events) of a memory.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Engram

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "engram-2": {
      "command": "npx",
      "args": [
        "-y",
        "@getengram/cli"
      ]
    }
  }
}

Telemem

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "telemem": {
      "command": "uvx",
      "args": [
        "telemem"
      ]
    }
  }
}

Frequently asked questions

Engram is categorized under Knowledge & Memory and uses a local stdio subprocess. Telemem belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Engram for knowledge & memory work and Telemem for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Engram has no declared pricing — check the project's own site. Telemem has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add engram-2 and telemem as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Engram has a quality signal of 57/100 (Good) with 2 views, 0 installs and 19 GitHub stars. Telemem has 64/100 (Good) with 1 views, 0 installs and 494 GitHub stars.