hermes-claude-bridge
Allows Hermes Agent to delegate development tasks to Claude Code CLI, leveraging Hermes for orchestration and memory.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@hermes-claude-bridgeRefactor auth.py to use dependency injection"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Hermes-Claude Bridge
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.
Related MCP server: personal-mcp
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_delegateas 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 --barefrom 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-bridgeRequires claude CLI installed and authenticated:
claude --versionQuick 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.mdPython 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 and merge it into ~/.hermes/config.yaml:
hermes-claude setup --mcp-config >> ~/.hermes/config.yamlThe snippet registers hermes-claude-bridge as an MCP stdio server. Hermes
will auto-discover the claude_code_delegate tool on next startup.
Option B: Native Hermes plugin
Install the plugin and enable it in Hermes:
hermes-claude setup --hermes-pluginThen add to ~/.hermes/config.yaml:
plugins:
enabled:
- hermes-claude-bridgeRestart 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 8765Then 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-serverHermes (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 |
|
| Path to claude CLI |
|
| Default working directory |
|
| Default timeout in seconds |
|
| Use |
|
| Default permission mode |
|
| Default Claude model |
|
| Async database URL |
Permission Modes
Mode | Behavior |
| Auto-approve file edits; ask for bash/other tools |
| Auto-approve everything (dangerous, use with care) |
| 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/ -vReleasing
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 v0.5.0"
git tag v0.5.0
git push origin main --tagsThe Release workflow will automatically build the package and create a GitHub Release with release notes.
Testing
pytest tests/ -vLicense
MIT.
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