A Paperclip adapter that lets you run Hermes Agent as a managed employee in a Paperclip company.

Hermes Agent is a full-featured AI agent by Nous Research with 30+ native tools, persistent memory, session persistence, 80+ skills, MCP support, and multi-provider model access.

This adapter provides:

• 8 inference providers — Anthropic, OpenRouter, OpenAI, Nous, OpenAI Codex, ZAI, Kimi Coding, MiniMax
• Skills integration — Scans both Paperclip-managed and Hermes-native skills (~/.hermes/skills/), with sync/list/resolve APIs
• Structured transcript parsing — Raw Hermes stdout is parsed into typed TranscriptEntry objects so Paperclip renders proper tool cards with status icons and expand/collapse
• Rich post-processing — Converts Hermes ASCII banners, setext headings, and +--+ table borders into clean GFM markdown
• Comment-driven wakes — Agents wake to respond to issue comments, not just task assignments
• Auto model detection — Reads ~/.hermes/config.yaml to pre-populate the UI with the user's configured model
• Session codec — Structured validation and migration of session state across heartbeats
• Benign stderr reclassification — MCP init messages and structured logs are reclassified so they don't appear as errors in the UI
• Session source tagging — Sessions are tagged as tool source so they don't clutter the user's interactive history
• Filesystem checkpoints — Optional --checkpoints for rollback safety
• Thinking effort control — Passes --reasoning-effort for thinking/reasoning models

npm install hermes-paperclip-adapter

• Hermes Agent installed (pip install hermes-agent)
• Python 3.10+
• At least one LLM API key (Anthropic, OpenRouter, or OpenAI)

Add to your Paperclip server's adapter registry (server/src/adapters/registry.ts):

import * as hermesLocal from "hermes-paperclip-adapter";
import {
  execute,
  testEnvironment,
  detectModel,
  listSkills,
  syncSkills,
  sessionCodec,
} from "hermes-paperclip-adapter/server";

registry.set("hermes_local", {
  ...hermesLocal,
  execute,
  testEnvironment,
  detectModel,
  listSkills,
  syncSkills,
  sessionCodec,
});

In the Paperclip UI or via API, create an agent with adapter type hermes_local:

{
  "name": "Hermes Engineer",
  "adapterType": "hermes_local",
  "adapterConfig": {
    "model": "anthropic/claude-sonnet-4",
    "maxIterations": 50,
    "timeoutSec": 300,
    "persistSession": true,
    "enabledToolsets": ["terminal", "file", "web"]
  }
}

Create issues in Paperclip and assign them to your Hermes agent. On each heartbeat, Hermes will:

1. Receive the task instructions
2. Use its full tool suite to complete the work
3. Report results back to Paperclip
4. Persist session state for continuity

Available toolsets: terminal, file, web, browser, code_execution, vision, mcp, creative, productivity

Use {{variable}} syntax in promptTemplate:

Conditional sections:

• {{#taskId}}...{{/taskId}} — included only when a task is assigned
• {{#noTask}}...{{/noTask}} — included only when no task (heartbeat check)
• {{#commentId}}...{{/commentId}} — included only when woken by a comment

Paperclip                          Hermes Agent
┌──────────────────┐               ┌──────────────────┐
│  Heartbeat       │               │                  │
│  Scheduler       │───execute()──▶│  hermes chat -q  │
│                  │               │                  │
│  Issue System    │               │  30+ Tools       │
│  Comment Wakes   │◀──results─────│  Memory System   │
│                  │               │  Session DB      │
│  Cost Tracking   │               │  Skills          │
│                  │               │  MCP Client      │
│  Skill Sync      │◀──snapshot────│  ~/.hermes/skills│
│  Org Chart       │               │                  │
└──────────────────┘               └──────────────────┘

The adapter spawns Hermes Agent's CLI in single-query mode (-q). Hermes processes the task using its full tool suite, then exits. The adapter:

1. Captures stdout/stderr and parses token usage, session IDs, and cost
2. Parses raw output into structured TranscriptEntry objects (tool cards with status icons)
3. Post-processes Hermes ASCII formatting (banners, setext headings, table borders) into clean GFM markdown
4. Reclassifies benign stderr (MCP init, structured logs) so they don't show as errors
5. Tags sessions as tool source to keep them separate from interactive usage
6. Reports results back to Paperclip with cost, usage, and session state

Session persistence works via Hermes's --resume flag — each run picks up where the last one left off, maintaining conversation context, memories, and tool state across heartbeats. The sessionCodec validates and migrates session state between runs.

The adapter scans two skill sources and merges them:

• Paperclip-managed skills — bundled with the adapter, togglable from the UI
• Hermes-native skills — from ~/.hermes/skills/, read-only, always loaded

The listSkills / syncSkills APIs expose a unified snapshot so the Paperclip UI can display both managed and native skills in one view.

git clone https://github.com/NousResearch/hermes-paperclip-adapter
cd hermes-paperclip-adapter
npm install
npm run build

MIT — see LICENSE

• Hermes Agent — The AI agent this adapter runs
• Paperclip — The orchestration platform
• Nous Research — The team behind Hermes
• Paperclip Docs — Paperclip documentation