rohitg00/agentmemory — #1 Persistent memory for AI coding agents based on real-world benchmarks
Description and use
**AgentMemory** is an open‑source library that provides persistent, long‑term memory for AI coding agents, enabling them to store, retrieve, and update knowledge across sessions. Built on real‑world benchmark datasets, it offers a lightweight, plug‑and‑play API that helps agents recall past code snippets, documentation, and execution results, thereby improving problem‑solving efficiency and consistency.
Problem
rohitg00/agentmemory helps add AI capability without starting from a blank model stack.
Outcome
Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.
Workflow
- prototype AI features
- build RAG or agent workflows
- evaluate model tooling
Evidence
#1 Persistent memory for AI coding agents based on real-world benchmarks
- Record date: 2026-09-19T11:31:07.567Z