Agent Memory FAQs

Question 1

How does Agent Memory benefit Python developers?

Accepted Answer

It helps developers build a comprehensive, searchable database of their insights, allowing them to quickly find past solutions, understand recurring errors, document reusable patterns, and track progress across development sessions.

Question 2

What types of development information does it track?

Accepted Answer

It tracks entities like Features, Sessions, Errors, Patterns, Modules, Classes, and Functions. It also captures Observations such as notes, code snippets, error details, command logs, and Q&A specific to your development work.

Question 3

How is my development data stored and persisted?

Accepted Answer

Agent Memory uses a dual storage approach: a snapshot JSON file for the complete knowledge graph state and an append-only event log (`.jsonl`) for durability. You can compact the store periodically to optimize storage.

Question 4

What is Agent Memory?

Accepted Answer

Agent Memory is an MCP server that utilizes a persistent knowledge graph to track your Python development sessions, errors, fixes, and coding patterns, creating a searchable database of your learnings and solutions.

Question 5

How does Agent Memory manage errors and solutions?

Accepted Answer

It automatically fingerprints errors for persistent tracking, records their details, and allows you to link specific fixes and reusable patterns to them. This builds a robust, searchable knowledge base for troubleshooting.

Agent Memory

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