Best AI Coding Agents with Memory in 2026

We compared 12 AI coding agents on one dimension that matters most: do they remember your codebase between sessions?

★ agent-memory — Only MIT-licensed universal MCP memory

The Memory Problem Every AI Coding Agent Has

Cursor, Claude Code, OpenHands, Cline, Goose — they're all powerful within a session. But between sessions? Complete amnesia. Every new conversation starts from zero. Every bug fix forgotten. Every architectural decision re-debated.

This comparison looks at AI coding agents through one lens: how well do they remember your project?

Full Comparison Table

Agent Memory Type Persistent? Encryption TTL Local-First License Best For
Cursor Tab awareness No No No Yes Proprietary Inline editing
Claude Code CLAUDE.md (manual) Partial No No Yes Proprietary Complex reasoning
OpenHands None built-in No No No Yes MIT 65K GitHub stars, general coding
Cline Memory bank (manual) Partial No No Yes MIT VS Code extension users
Goose (Block) None built-in No No No Yes MIT Block ecosystem users
Roo (Cline) Memory bank (manual) Partial No No Yes MIT Autonomous coding
Continue (VS Code/JetBrains) Context files Partial No No Yes MIT JetBrains users
Aider Chat history No No No Yes MIT Terminal-first developers
Mem0 (OpenMemory) MCP Memory Server Yes No Limited Cloud Proprietary Teams, cloud-first
Zep Memory API Yes Yes Yes Cloud Proprietary Production AI apps
Letta Memory API Yes Yes Yes Partial MIT Stateful LLM apps
★ agent-memory MCP Memory Server Yes AES-256 Yes 100% Local MIT Open-source + privacy

How Each Agent Handles Memory

Cursor

No persistent memory. Tab awareness helps within a session. Between sessions: starts fresh. Combine with agent-memory for persistent context.

Claude Code

Uses CLAUDE.md file manually. Reads at session start. But: /compact destroys context, and manual updates required. See: Claude Code Memory Guide

OpenHands

65K GitHub stars, zero built-in project memory. Every session re-discovers your codebase. See: OpenHands Memory Guide

Cline / Roo

Supports memory bank files manually. Requires discipline to maintain. agent-memory adds automated memory with TTL and search.

Goose (Block)

Rust-based extensible agent. MCP-capable. No built-in memory. Connect via agent-memory MCP for persistent storage.

★ agent-memory

Universal MCP server for ANY AI coding agent. AES-256 encryption. TTL expiration. JSON/SQLite/Redis. MIT license. Works with Cursor, Claude Code, OpenHands, Cline, Goose, Continue.

The Only Agent That Remembers Everything

★ agent-memory — The Universal Memory Layer

Every other agent in this comparison either has no memory, manual memory (CLAUDE.md/memory bank), or cloud-only memory (Mem0, Zep).

agent-memory is the only option that gives you:

Quick Setup: Add Memory to Any Agent

# Works with Cursor, Claude Code, OpenHands, Cline, Goose, Continue # Install once, use with any agent pip install agent-memory # Run the MCP server python -m agent_memory.mcp_server # Then connect your agent via MCP config # Each agent has slightly different MCP setup steps # See the guides below for agent-specific instructions

Which Agent Is Right For You?

Priority Best Agent + Memory Why
Privacy / Local-First OpenHands + agent-memory 65K stars + 100% local + MIT = maximum flexibility
Inline Editing Speed Cursor + agent-memory Best inline editing + persistent memory
Complex Reasoning Claude Code + agent-memory Best reasoning model + memory that survives /compact
VS Code Ecosystem Cline + agent-memory Open-source VS Code extension + MCP memory
JetBrains IDE Continue + agent-memory JetBrains support + persistent memory
Enterprise / Teams Zep or Mem0 Cloud management, team sharing, audit logs

Get Started

agent-memory works with the agents you already use. Install once, connect to any MCP-compatible agent.

agent-memory on GitHub Try Live Demo