The Problem With Most Support Agents
Most customer support agents respond like every conversation is the first conversation.
A customer complains.
The support team responds.
The customer rejects the solution.
A few days later, the same customer returns with another issue.
The agent forgets everything.
That was the main problem I wanted to solve while building ResolveMate.
ResolveMate is a customer support agent that remembers previous complaints, rejected solutions, preferred tone, and earlier resolutions before generating a response.
Instead of generating generic replies every time, the agent uses memory to produce more context-aware support responses.
What ResolveMate Does
ResolveMate stores:
- customer complaints
- previous resolutions
- rejected solutions
- preferred response tone
When the customer returns, the agent recalls that information before generating a new support reply.
The core idea is simple:
No memory → generic response
Memory recall → personalized response
## 3. Add screenshot placeholders
Use markdown like this:
markdown
![No memory response]
![Memory-based response]
GitHub Repository:
ResolveMate
A customer support memory agent that stores customer complaints, resolutions, rejected solutions, and tone preferences then recalls that memory to generate better support responses.
Problem
Customer support teams often forget previous customer complaints, rejected solutions, and customer preferences. This leads to generic responses and repeated customer frustration.
Solution
ResolveMate remembers customers' past interactions and generates personalized support responses based on their history.
Features
- Store Customer Memory: Save customer issues, resolutions, rejected solutions, and tone preferences
- Recall Memory: Retrieve past interactions for any customer
- Generate Smart Responses: Get generic responses for new customers, personalized responses for returning customers
- View All Memories: Review all stored customer interactions
- Load Sample Data: Quickly populate the system with example customer data
Installation
Prerequisites
- Python 3.8+
Setup
# Clone the repository
git clone <repo-url>
cd resolvemate
# Create a virtual environment
python -m venv .venv
source .venv/bin/activate #…Demo video:
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