AAgent Daemon
☕ COMING SOON Spring Boot · Quarkus · JVM
JAVA IS COMING TO AGENT DAEMON!

Your Java Applications Are Next.

We're expanding Agent Daemon beyond Python. Java integration is coming soon, bringing intelligent incident detection, AI-powered diagnosis and automated debugging capabilities to Java developers.

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PaymentController.java — Agent Daemon JVM
@RestController
@AgentDaemonMonitored
public class PaymentController {
@PostMapping("/process")
public ResponseEntity<?> pay(Order req) {
try { gateway.charge(req); }
catch (NullPointerException ex) {
AI Root Cause Identified:
Missing null check on user.cardToken
Proposed PR #104 ready for review
}
}
}
JVM Agent Bytecode Hook
☕ JDK 17 / 21 LTS Ready
AUTONOMOUS AI INCIDENT RESPONSE

When Production Breaks, Your AI Engineer Is Already on It.

Agent Daemon monitors your Python applications, detects recurring errors, investigates root causes, and proposes fixes through reviewable GitHub pull requests. Spend less time debugging and more time building.

Get Started See How It Works
One-click developer onboarding: Continue with Google · No password required.
Zero Runtime Overhead
Non-Invasive Diagnostic Sandbox
Verified Against GitHub CI
1-Day Free Trial Available
agent-daemon :: cluster-us-east-1 // shop-api.prod
Incoming Logs Stream
2s ago · HTTP 500
POST /api/v2/checkout
KeyError: 'price'
8s ago · HTTP 500
POST /api/v2/checkout
KeyError: 'price'
14s ago · HTTP 200
GET /catalog/products
200 OK · 14ms
Cluster Rate: 1,420 req/s 14 err/min
HIGH SEVERITY EXCEPTION

Unhandled KeyError in Checkout Pipeline

Occurrences: 14
Traceback (most recent call last):
  File "shop/api/checkout.py", line 81, in checkout
    price = PRODUCTS[item["product_id"]]["price"]
KeyError: 'price'
# Error captured by Agent Daemon monitoring hook without blocking web client.
Total Autonomous MTTR: 2m 14s Frontend Demonstration · Zero Fabricated Claims
THE PROBLEM

Debugging Shouldn't Be Your Second Full-Time Job.

Modern engineering teams lose up to 30% of sprint capacity chasing transient errors, reconstructing context, and writing repetitive boilerplate patches.

Endless Error Logs

Thousands of duplicate tracebacks flood monitoring channels, burying genuine outages under deafening noise and triggering alert fatigue across on-call rotations.

Time-Consuming Investigations

Engineers spend hours context-switching, manually inspecting git blame, reproducing edge cases locally, and diagnosing dependencies instead of shipping roadmap features.

Repetitive Debugging & Manual Fixes

High-frequency regressions (missing dict keys, unhandled NoneTypes, schema mismatches) require the same tedious patch, branch, PR, and review overhead every week.

THE SOLUTION

Meet Agent Daemon: Autonomous Incident Remediation

Agent Daemon acts as your 24/7 on-call AI engineer. It catches recurring exceptions, investigates root causes through read-only AST parsing, and delivers tested GitHub pull requests straight to your repo.

Get Started Explore Features
THE AGENT DAEMON ADVANTAGE:
Zero Alert Spam: Duplicates clustered into singular incidents
Instant Diagnosis: Root causes pinpointed via AST in seconds
Reviewable PRs: Human engineer retains merge authority
Zero Server Intrusion: Customer code never executed on our host
ENGINEERED WORKFLOW

How it works

Four frictionless steps to autonomous error remediation on Python services.

01

Connect Your Application

Connect your GitHub repository. Agent Daemon opens a single reviewable PR with lightweight monitoring code. You review and merge it.

02

Monitor Automatically

Agent Daemon watches your application's error logs in real time. Heartbeats confirm sentinel health with zero slowdown on your app's responses.

03

Investigate Incidents

Repeated errors are grouped into incidents with timelines and AI-powered diagnoses, identifying the faulty file, line, and root cause hypothesis.

04

Review Proposed Fixes

Get a proposed GitHub pull request that you can inspect and approve. Auto mode can also merge automatically only after all your GitHub CI checks pass.

CORE CAPABILITIES

Everything High-Velocity Teams Need

Built specifically for production Python stacks (FastAPI, Flask, Django, Celery, WSGI).

01

Intelligent Error Detection

Automatically detect recurring application errors without manual instrumentation or complex observability agents.

02

Incident Grouping

Group repeated errors into meaningful incidents instead of overwhelming developers with individual logs.

03

AI Root Cause Analysis

Investigate repository files and available logs with Groq LLM AST reasoning to explain exact likely causes.

04

GitHub Pull Requests

Generate proposed code fixes through reviewable pull requests formatted strictly to your codebase style.

05

Multiple Automation Modes

Support Report Only, Pull Request, and Auto modes. You decide the degree of autonomy granted to the agent.

06

Developer Control

Allow developers to pause monitoring, manage projects, and control how much automation is permitted at all times.

ENTERPRISE SAFETY GATES

AI-Powered. Developer-Controlled.

We enforce strict isolation between diagnosis and execution. Your source code remains entirely within your control.

Strict Boundaries by Design

Agent Daemon was architected from day one so that automated remediation never creates secondary outages or unvetted regressions.

Developers Retain Total Control: Every proposed change remains fully reviewable on GitHub before merging.
Graduated Autonomy Modes: Select between Report Only, Pull Request, or Auto mode per repository.
GitHub Checks Required: Auto mode merges only when all repository GitHub CI checks pass. Zero checks = PR remains open.
Instant Pause & Deletion: Monitoring can be paused instantly. Projects and their stored telemetry can be removed at any time.
Zero Host Execution: Diagnosis workers parse AST as read-only evidence. Customer code or tests never run on our servers.
Security & Policy Matrix Policy Enforced
GitHub Token Encryption AES-128 Fernet
Ingest Key Authentication SHA-256 Unique Digest
Untrusted Code Execution Blocked (Read-Only AST)
Auto-Merge CI Safety Gate Mandatory Green Check
WALKTHROUGH

See Agent Daemon in Action.

Select any stage below to inspect the real-time transition from crash to patch.

STAGE 1 :: UNHANDLED RUNTIME FAILURE

Exception Stream Captured by Lightweight Hook

Endpoint: POST /cart/checkout

When an unhandled exception or 500 status occurs, the Agent Daemon client extracts the traceback frame and signature without blocking customer requests.

ERROR shop-api:main.py:20 POST /checkout failed: KeyError: 'price' in shop/api/checkout.py:81

Before you connect a repository

Agent Daemon talks to GitHub with a classic personal access token. Fine-grained tokens are not supported. Two things to do first:

Integration Prerequisites
1. Make your repository private

We read your source files and error logs to diagnose problems, and Auto mode only merges fixes in private repositories. A private repository keeps your code and logs away from the public.

Show 5 quick steps ▾
  1. Open your repository on github.com in a browser.
  2. Tap or click the Settings tab of the repository (not your profile settings).
  3. Stay on General and scroll to the very bottom, to the Danger Zone.
  4. Press Change visibility, then Change to private.
  5. Read the warnings, type the repository name when GitHub asks, and confirm.
2. Create a classic token in Tokens (classic)

Generate a classic token with scopes: repo and workflow.

Show token generation steps ▾
  1. On GitHub press your profile picture, then Settings.
  2. At the bottom of the left menu open Developer settings, then Personal access tokens, then Tokens (classic).
  3. Press Generate new token, then Generate new token (classic).
  4. Name it Agent Daemon and pick how long it should last. When it expires, use Update GitHub token on your project page.
  5. Tick exactly two boxes: repo and workflow. Leave everything else unticked.
  6. Press Generate token and copy it right away. GitHub shows it only once. Paste it into the connect form.
What the agent uses each permission for:
  • repo: read your code, create a branch and open pull requests. Nothing is merged unless you choose Auto mode.
  • workflow: add a small test workflow file, so Auto mode has a check that must pass before merging.

Stop Chasing Errors. Start Shipping.

Let Agent Daemon handle the investigation while you focus on building your product.

Get Started with Agent Daemon Contact Us
Instant setup · 1-day free trial · Cancel or pause anytime