Agenticmemory vs Honcho

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

Agenticmemory logoAgenticmemoryKnowledge & Memory · Remote HTTP/SSEPersistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.39FairAuth: not declaredHoncho logoHonchoKnowledge & Memory · Local subprocess (stdio)Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.48FairAuth: not declared

Verdict: choose Agenticmemory for knowledge & memory work over a hosted endpoint; choose Honcho 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?

Agenticmemory logoChoose Agenticmemory when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a remote HTTP/SSE transport.
  • You have the keys it needs: AGMRY_API_KEY, AGENTICMEMORY_API_KEY, AGMRY_ENCRYPTION_KEY.
Explore Agenticmemory

Honcho logoChoose Honcho when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: HONCHO_API_KEY, HONCHO_URL.
Explore Honcho

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAgenticmemory logoAgenticmemoryHoncho logoHoncho
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal39/100 · Fair48/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsAGMRY_API_KEYAGENTICMEMORY_API_KEYAGMRY_ENCRYPTION_KEYHONCHO_API_KEYHONCHO_URL
Verified ownerCommunity listingCommunity listing
GitHub stars17,746
Directory activity 0 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Agenticmemory tools

No tool names declared yet. Check the project README from the listing page.

Honcho tools

No tool names declared yet. Check the project README from the listing page.

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.

Agenticmemory

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agenticmemory": {
      "url": "https://mcp.agenticmemory.ai/sse"
    }
  }
}

Honcho

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "honcho": {
      "command": "uvx",
      "args": [
        "honcho-ai"
      ],
      "env": {
        "HONCHO_API_KEY": "YOUR_HONCHO_API_KEY_HERE",
        "HONCHO_URL": "YOUR_HONCHO_URL_HERE"
      }
    }
  }
}

Frequently asked questions

Agenticmemory is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Honcho belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Agenticmemory for knowledge & memory work and Honcho 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.

Agenticmemory has no declared pricing — check the project's own site. Honcho 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 agenticmemory and honcho as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Agenticmemory has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 1 GitHub stars. Honcho has 48/100 (Fair) with 1 views, 0 installs and 7,746 GitHub stars.