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analytics

Superlog: AI-driven self-healing

Get AI-powered software stability with superlog, an open-source observability tool for founders.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
996 stars74 forksTypeScriptQuality 8/10Updated 7/8/2026100% free · open source
What it is

Use self-healing AI agents to automatically fix problems in your software.

What you can make with it

Solutions like self-recovering APIs and automated alerting systems.

How it helps

With superlog, you avoid manually debugging and resolving issues in your software, freeing up time to focus on new features and growth.

Real use case example

"A founder wants to deploy a complex API quickly but worries about outages. They set up superlog to monitor the API's health and automatically restart it if there's an issue. They also use superlog to track errors and alert their team. This helps prevent downtime and ensures a better user experience."

If you're new

Pick superlog when you're new to AI-powered observability and want a straightforward, self-hosted solution.

If you're senior

Professional developers choose superlog for its comprehensive observability features and ability to self-heal software systems.

Common confusion cleared up

Some users might confuse superlog with other monitoring tools, but it's primarily designed for AI-powered self-healing and observability.

Best inside these AI tools
Claude DesktopSelf-hosted
Pairs with
Stripe webhookNotion databaseOpenTelemetryObservability dashboards
Why we list it on WorkflowStacks: Our marketplace includes superlog since it's a robust, open-source tool that can save costs and effort.
What it does

Superlog uses AI agents to automatically identify and self-heal software stability issues in your application

Install / run
git clone https://github.com/superloglabs/superlog.git && cd superlog
When to use it
  • •When you're experiencing intermittent software failures and need help diagnosing the root cause
  • •When you want to proactively monitor your application's stability and prevent outages
  • •When you're looking for an open-source observability tool that integrates with your existing TypeScript stack
Quick start
  1. 1Run `npm install` to install the required dependencies
  2. 2Configure your application settings in the `config.ts` file
  3. 3Start the superlog agent with `npm run start`
  4. 4Use the `superlogctl` command-line tool to manage your superlog deployment, such as `superlogctl status` to check the agent's status
  5. 5Refer to the `README.md` file for additional configuration options and examples
Ready-to-paste prompt
Run `superlogctl diagnose --app my-app` to diagnose and self-heal stability issues in your application
Heads up: Make sure you have Node.js 14 or later installed, as superlog requires this version to run
Saves to your device

Topics

ai
llm
memory
observability
opentelemetry
react
self-hosted
skills
typescript
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

22
top-level files
8
folders
19.7M
repo size
Apache-2.0
license
Key files
autumn.config.ts
package.json
README.md
skills-lock.json
tsconfig.base.json
File tree
.github/
apps/
blog/
docs/
infra/
packages/
scripts/
specs/
.dockerignore
.gitignore
.nvmrc
autumn.config.ts
biome.json
CHANGELOG.md
CONTRIBUTING.md
design.md
docker-compose.yml
LICENSE.md
package.json
pnpm-lock.yaml
pnpm-workspace.yaml
Procfile
Procfile.portless
README.md
Quick Actions
Details
Creator
superloglabs
Language
TypeScript
Category
analytics
Published
6/2/2026

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

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