hermes-claude-bridge

hermes-claude-bridge

MCP server that enables Hermes Agent to delegate development tasks to Claude Code CLI, reusing the Claude Code subscription without additional API costs.

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README

Hermes-Claude Bridge

CI Release License: MIT

Delegate development tasks from Hermes Agent to Claude Code CLI — zero additional Anthropic API cost.

Status: early development. API may change until v1.0.0.

Why?

  • You already pay for Claude Code (Pro / Team / Enterprise) — reuse that subscription.
  • Hermes handles orchestration, memory, and multi-tool workflows.
  • Claude Code handles deep, multi-file coding tasks.
  • No Anthropic API tokens are consumed for delegated work.

What problem does this solve?

Omni (automagik-dev/omni) showed that Telegram and other channels can talk to Claude Code. This bridge does the same for the Hermes Agent ecosystem, but focused on:

  • No extra API costs — reuse the Claude Code CLI subscription.
  • Persistent contextual sessions — SQLite/PostgreSQL store keeps full conversation history; every new prompt includes prior context.
  • History filtering & compression — cap how many past events are sent, with a compact summary of older messages.
  • MCP server — expose claude_code_delegate as a native MCP tool for Hermes or any MCP client.
  • Real-time events — SSE stream delivers events instantly via asyncio.Condition, no polling.
  • Human-in-the-loop — when Claude asks a question, the bridge pauses and asks the user.
  • Model selection — choose sonnet, opus, haiku, or any full model name.
  • Headless / scriptable — run claude -p --bare from Python/asyncio.
  • Structured results — parse file edits, bash commands, and errors from Claude's output.
  • Hermes-native — register as a tool (claude_code_delegate) inside Hermes skills.

Installation

pip install hermes-claude-bridge

Requires claude CLI installed and authenticated:

claude --version

Quick Start

CLI

# Check if claude is available
hermes-claude health

# Run a single task
hermes-claude run "Refactor auth.py to use dependency injection" -f src/auth.py

# Run from a file
hermes-claude run-file prompt.md

Python API

import asyncio
from hermes_claude_bridge.bridge import HermesClaudeBridge
from hermes_claude_bridge.schemas import ClaudeTask

async def main():
    bridge = HermesClaudeBridge()
    result = await bridge.run_task(ClaudeTask(
        prompt="Add type hints to all functions",
        context_files=["src/main.py"],
    ))
    print(result.model_dump_json(indent=2))

asyncio.run(main())

Setup for Hermes Agent

Option A: MCP server (recommended for tool-gateway style)

Generate the MCP config snippet and merge it into ~/.hermes/config.yaml:

hermes-claude setup --mcp-config >> ~/.hermes/config.yaml

With a default model preset (sonnet, opus or haiku):

hermes-claude setup --mcp-config --model sonnet >> ~/.hermes/config.yaml

On next startup, Hermes discovers the claude_code_delegate tool from the hermes-claude-bridge MCP server.

Option B: Native Hermes plugin

Install the plugin:

hermes-claude setup --hermes-plugin

Then enable it in ~/.hermes/config.yaml:

plugins:
  enabled:
    - hermes-claude-bridge

The plugin can connect to a bridge server automatically when the environment variable HERMES_CLAUDE_BRIDGE_URL is set:

export HERMES_CLAUDE_BRIDGE_URL=http://localhost:8765

Restart Hermes. The tool claude_code_delegate will be available in the hermes-claude-bridge toolset.

Server mode (stateful)

Start the bridge server for persistent sessions and real-time SSE events:

hermes-claude server --port 8765

Then use the Python client from Hermes:

import asyncio
from hermes_claude_bridge.client import BridgeClient

async def main():
    client = BridgeClient("http://localhost:8765")

    # Use mode="interactive" to keep conversation context across prompts.
    # Limit how many past events are included to avoid overflowing context.
    session = await client.create_session(
        working_dir="/path/to/project",
        model="sonnet",
        mode="interactive",
        max_history_events=5,
    )
    result = await client.send_prompt(
        session["session_id"],
        "Refactor auth.py to use dependency injection",
        context_files=["src/auth.py"],
    )
    print(result)

    if result.get("status") == "waiting_user_input":
        question = result["pending_question"]
        # Ask the user, then:
        await client.answer_question(session["session_id"], "Yes, proceed.")

asyncio.run(main())

MCP server

Expose the bridge as a native MCP tool:

hermes-claude mcp-server

Hermes (or any MCP client) can then call claude_code_delegate. For stateless single tasks:

{
  "prompt": "Refactor auth.py",
  "context_files": ["src/auth.py"],
  "model": "sonnet"
}

For persistent sessions, point the tool at a running bridge server:

{
  "prompt": "Refactor auth.py",
  "bridge_url": "http://localhost:8765",
  "mode": "interactive"
}

Hermes Skill

Install the skill into your Hermes profile:

cp -r .skills/hermes-claude-bridge ~/.hermes/skills/

Then register the tool in your agent:

from hermes_claude_bridge.hermes_adapter import ClaudeBridgeTool

tool = ClaudeBridgeTool()
schema = tool.get_schema()  # Register with Hermes
result = await tool.invoke({
    "prompt": "Refactor auth.py",
    "context_files": ["src/auth.py"],
    "model": "sonnet",
    "permission_mode": "acceptEdits",
    "timeout": 300,
})

See .skills/hermes-claude-bridge/SKILL.md for the full skill definition.

Architecture

Hermes Agent
    |
    v
+----------------------------------+
|  BridgeClient or ClaudeBridgeTool|
|  - HTTP client / tool adapter    |
+----------------------------------+
    |
    | SSE / HTTP
    v
+----------------------------------+
|  Hermes-Claude Bridge Server     |
|  - FastAPI + SSE streaming       |
|  - Session Manager (SQLAlchemy)  |
+----------------------------------+
    |
    v
+----------------------------------+
|  HermesClaudeBridge (orchestrator)|
|  - Task execution                |
|  - Health checks                 |
+----------------------------------+
    |
    v
+----------------------------------+
|  ClaudeExecutor (subprocess)     |
|  - claude -p [--bare]            |
|  - Async subprocess + timeout    |
+----------------------------------+
    |
    v
+----------------------------------+
|  OutputParser                    |
|  - Extract file edits            |
|  - Extract bash commands         |
|  - Detect questions              |
+----------------------------------+
    |
    v
  Result (JSON)

Configuration

Environment variables:

Variable Default Description
CLAUDE_EXECUTABLE claude Path to claude CLI
CLAUDE_WORKING_DIR . Default working directory
CLAUDE_TIMEOUT 300 Default timeout in seconds
CLAUDE_BARE true Use --bare mode
CLAUDE_PERMISSIONS acceptEdits Default permission mode
CLAUDE_MODEL None Default Claude model
DATABASE_URL sqlite+aiosqlite:///./hermes_claude_bridge.db Async database URL

Permission Modes

Mode Behavior
acceptEdits Auto-approve file edits; ask for bash/other tools
dontAsk Auto-approve everything (dangerous, use with care)
default Ask for every tool use (not headless)

Development

git clone https://github.com/RodrigoSiliunas/hermes-claude-bridge.git
cd hermes-claude-bridge
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/ -v

Releasing

To create a new release:

# Update version in pyproject.toml and src/hermes_claude_bridge/__init__.py
git add -A
git commit -m "chore(release): bump version to v0.6.0"
git tag v0.6.0
git push origin main --tags

The Release workflow will automatically build the package and create a GitHub Release with release notes.

Testing

pytest tests/ -v

License

MIT.

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