Koskamo

Thronglets MCP

A P2P shared memory substrate for AI agents that creates a stigmergic knowledge network via libp2p. It allows coding agents to externalize logs, replays, and failure paths into sparse traces, which are then compressed into regressive experiences. The server injects sparse signals like 'avoid recent errors' or 'do next' to improve agent decision-making without explicit API calls.

Package and access

Local package with source-attributed installation metadata. Koskamo does not execute packages during review.

Thronglets MCP logo, by Shangri-la-0428Community listingLocal stdioSource reviewed; not executedPublished by Shangri-la-0428
Vendor documentation

What you can do with it

  • Externalize agent logs and failure paths into sparse traces
  • Compress experiences into regressive knowledge via space/field/view
  • Inject sparse signals to guide agent decision-making
  • Share connection files for multi-device agent collaboration

Source and maintenance

Community listingRegistry 0.2.0
Maintenance checked

Packages and installation

Source-provided package data. Koskamo has not executed or live-probed this package.

https://github.com/Shangri-la-0428/Thronglets/releases/download/v0.2.0/thronglets-mcp-darwin-arm64 0.2.0

mcpbSHA-256 supplied
https://github.com/Shangri-la-0428/Thronglets/releases/download/v0.2.0/thronglets-mcp-darwin-arm64 package definition
{
  "version": "0.2.0",
  "transport": "stdio",
  "fileSha256": "7b0546e9381b8dc9180036afc1cbcd504068b4ac13d92f497a44945fc3faad5e",
  "identifier": "https://github.com/Shangri-la-0428/Thronglets/releases/download/v0.2.0/thronglets-mcp-darwin-arm64",
  "registryType": "mcpb",
  "packageArguments": [
    {
      "type": "positional",
      "value": "mcp"
    }
  ]
}

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

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