# IncidentMind: An AI Incident Response Agent That Learns Using Hindsight

Production incidents are an inevitable aspect of software systems. When APIs return errors, databases become unavailable, or services suddenly slow down, engineers must swiftly comprehend the cause and determine the appropriate course of action. A challenge arises when organizations possess valuable knowledge from prior incidents, yet accessing and reusing this information during new incidents can be difficult.

To tackle this issue, the Hindsight AI Agents Hackathon saw the creation of IncidentMind, an AI-powered incident response agent that leverages memory to learn from past incidents and apply those lessons to current ones.

Consider a scenario where a company's Payment API begins returning HTTP 503 errors. An engineer investigating the issue may need to:

- Understand the error's nature

- Analyze logs

- Identify potential causes

- Search for similar incidents in the past

- Determine if a resolution exists from a prior incident

- Document the current incident once it is resolved

If a similar incident occurred previously, the knowledge gained from that experience could be invaluable. IncidentMind aims to address this problem by giving AI agents the ability to retain memories of previous incidents.

Introducing IncidentMind, an AI Incident Response Agent designed to analyze incidents and incorporate previous incident experiences to assist in resolution. Rather than treating each incident as an entirely new problem, the agent follows a workflow where past experiences can become part of the reasoning context. The workflow consists of:

1. Reporting the Incident

2. Analyzing the situation

3. Recalling similar past incidents

4. Recommending a resolution

5. Resolving the issue

6. Generating a postmortem

7. Remembering the experience

IncidentMind follows a simple, iterative process:

1. IncidentMind analyzes the reported incident

2. It searches its memory for relevant past incidents

3. Using the available information and historical experiences, IncidentMind provides a resolution recommendation

4. Once the incident is resolved, the experience is stored back into memory

At the core of IncidentMind's memory system is "Hindsight," a memory component that enables the agent to store information about past incidents and recall relevant experiences when faced with new ones. This allows the agent to apply past knowledge instead of treating each new incident as completely independent. For example, if a previous incident involved the Payment API returning 503 errors due to database connection pool exhaustion, a subsequent similar incident could trigger IncidentMind to recall the previous experience and use its resolution as a basis for suggesting what to investigate in the new incident.

After an incident is resolved, IncidentMind can generate a comprehensive postmortem containing the incident details, root cause, resolution, and outcome. This resolved incident can then be retained as a new memory, creating a continuous cycle where past incidents become valuable experiences for future incidents.

By using memory and past experiences, IncidentMind demonstrates how AI agents can support incident response more effectively. Instead of starting from scratch with every new incident, the agent can recall past incidents, utilize that experience as context, and retain the new experience for future reference. This approach streamlines incident response, reduces the time spent on repetitive tasks, and enables engineers to learn and improve over time.