claude-mem vs gpt-engineer

claude-mem

Agents

gpt-engineer

Agents

Tagline

claude-mem

Keeps decisions, discoveries, and fixes from work ready for the next session, machine, and tool.

gpt-engineer

Describe software in natural language, watch an AI agent write, run, and improve it.

Pricing

claude-mem

Freemium· Open source claude-mem: Free; CMEM Pro: $30/month; Heavy: $70/month; CMEM Max: $100/month

gpt-engineer

Free· Free and open source under MIT license. Users pay only for the underlying LLM API calls (OpenAI, Anthropic, Azure OpenAI) or run local models at zero token cost.

Lowest paid tier

claude-mem

$30/mo · Pro

captured 2026-10-24

gpt-engineer

—

Free trial

claude-mem

Yes

gpt-engineer

Not listed

API

claude-mem

Yes

gpt-engineer

Not listed

Platforms

claude-mem

macoslinuxwindows

gpt-engineer

—

Open source

claude-mem

Yes

gpt-engineer

Yes · MIT

GitHub stars

claude-mem

—

gpt-engineer

54,998

checked 2026-10-29

Last GitHub push

claude-mem

—

gpt-engineer

2025-05-14

First commit

claude-mem

—

gpt-engineer

2023-04

Package downloads (30 d)

claude-mem

—

gpt-engineer

795 · pypi gpt-engineer

checked 2026-10-12

Hacker News stories

claude-mem

1

checked 2026-10-09

gpt-engineer

—

Earliest Wayback capture

claude-mem

2026-02-01

earliest archived capture of the site, not a launch date

gpt-engineer

—

Model used

claude-mem

Model-agnostic — works with the models used by the connected agent (Claude, GPT, Gemini, etc.) via MCP

gpt-engineer

OpenAI GPT (default), Anthropic Claude, Azure OpenAI, and open-weights models like WizardCoder via configuration

Best for

claude-mem

—

gpt-engineer

Developers, researchers, and tinkerers who want a hackable, model-agnostic CLI coding agent they can script, fork, or benchmark without paying for a platform.

Not for

claude-mem

—

gpt-engineer

Teams needing an actively maintained, IDE-integrated agent for large production codebases — pick Aider, Cursor, Claude Code, or Cline instead.

Editorial score

claude-mem

—

gpt-engineer

—

Use cases

claude-mem

Searching for past decisions, discoveries, and fixesPicking up work on another machineReturning to the history behind a specific changeRecalling synced memory from MCP clientsCoding, research, and building custom tools

gpt-engineer

Greenfield script and prototype generationSmall single-file utility creation from a specIterative code improvement via improve modeCoding-agent research and benchmarking (APPS, MBPP)Teaching example for LLM agent loopsScriptable code generation in CI pipelinesLocal-model code generation with self-hosted LLMs

Pros

claude-mem

• The local claude-mem engine is open source.
• Progressive recall allows the agent to find a note before reading its details.
• Cloud sync keeps captured project memory available when moving between connected computers.
• Synced memory can be recalled from MCP clients, including ChatGPT when the account supports custom connectors.

gpt-engineer

• Fully open source (MIT) with a small, readable codebase that's easy to fork or study.
• Model-agnostic: swap OpenAI, Azure OpenAI, Anthropic, or local open-weights models.
• Zero platform cost — you pay only for tokens, or nothing at all with local models.
• Simple CLI-first workflow (`gpte <dir>`) that scripts and CI can call.
• Built-in improve mode for iterating on existing code, not just greenfield generation.
• Preprompt customization lets you retune agent behavior without patching source.
• Ships with benchmarking against APPS and MBPP for coding-agent research.

Cons

claude-mem

• The ChatGPT connection does not automatically capture ChatGPT conversations or backfill local-only history.
• A credit or debit card is required for the trial, and prepaid cards are not eligible.

gpt-engineer

• Repository was archived in April 2026 — no active maintenance, bug fixes, or new model support.
• Best suited to small greenfield projects; struggles on large multi-file codebases.
• No IDE integration — lives entirely in a terminal with a text prompt file.
• Requires bring-your-own API keys and manual configuration for non-OpenAI models.
• Python 3.10-3.12 only; older environments are unsupported.
• Newer agents (Aider, Cursor, Claude Code, Cline) have overtaken it on both quality and DX.

Website

claude-mem

cmem.ai

gpt-engineer

github.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.