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AtlasRepo

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

Source

  • Record date: 2026-09-19T11:31:07.567Z