nowfound

AI · alternatives · 2026

24 alternatives to Devin by Cognition

Cognition's coding model, 64% cheaper than Fable 5.1

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Devin by Cognition launched in 2024; newer entries below may have overtaken it.

  1. 1

    Enhanced Reasoning and Voice Control

    2025 · app.devin.ai · its alternatives →

  2. 2

    Local CLI coding agent with deep Devin Cloud integration

    Sep 2026 · docs.devin.ai · its alternatives →

  3. 3

    Claude Opus 4.7 is Anthropic's most capable generally available model, released April 16, 2026. It outperforms Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on key benchmarks including agentic coding, multidisciplinary reasoning, scaled tool use, and agentic computer use. It is benchmarked below Claude Mythos Preview — which remains restricted to Project Glasswing partners. https://vucense.com/ai-intelligence/ai-tools/claude-opus-4-7...

    2025 · anthropic.com · its alternatives →

  4. 4
    Figstack▲435

    An AI-native app for writing documentation and knowledge

    2021 · mintlify.com · its alternatives →

  5. 5

    Compare AI models easily! All providers in one place. Find the best LLM for your needs with our comprehensive pricing calculator and feature comparison tool. OpenAI, Anthropic, Google, and more.

    2024 · countless.dev · its alternatives →

  6. 6
    Muse Code▲240

    Meta’s terminal agent for long-horizon coding

    Aug 2026 · research.meta.ai · its alternatives →

  7. 7

    The first AI software engineer Devin AI

    2024 · its alternatives →

  8. 8
    Weave▲237

    Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…

    2025 · app.workweave.ai · its alternatives →

  9. 9
    Mengram▲108

    AI memory that learns how you work — facts, events, and workflows that improve from failures. One memory across Claude Code, Cursor, Codex, and ChatGPT. Free tier, $5/mo.

    Feb 2026 · mengram.io · its alternatives →

  10. 10

    Hey everyone! We've built Traycer, a tool that transforms your GitHub issues—everything from descriptions and attached images to ongoing conversations—into clear, actionable implementation plans. You can easily import these plans into your IDE with our extension or use them with any other coding assistant you prefer. We'd love to hear your thoughts and feedback. Traycer is totally free for open-source projects, and we've got a 2-week free trial if you're working with private repos. Give it a try and let us know what you think!

    2025 · traycer.ai · its alternatives →

  11. 11

    Repo-native memory for coding agents

    Jul 2026 · github.com · its alternatives →

  12. 12

    A visualization tool that replays coding-agent sessions on a 3D map of your codebase. - cosmtrek/mindwalk

    Jul 2026 · github.com · its alternatives →

  13. 13

    After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…

    2025 · github.com · its alternatives →

  14. 14AP

    One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.

    Mar 2026 · lab.puga.com.br · its alternatives →

  15. 15

    A CLI agent that keeps working when you close your laptop

    Apr 2026 · devin.ai · its alternatives →

  16. 16
    cto bench▲125

    The ground truth code agent benchmark

    Dec 2025 · cto.new · its alternatives →

  17. 17DD

    2024 · codecompanion.ai · its alternatives →

  18. 18
    agor▲102

    The command center for AI enablement. Empower your team with AI teammates — Claude Code, Codex, Gemini — on a shared canvas anchored on git branches, with real-time multiplayer and an MCP surface agents drive themselves.

    Nov 2025 · agor.live · its alternatives →

  19. 19

    The fastest and 100% syntax correct coding assistant with AI

    2023 · aicoderbuddy.com · its alternatives →

  20. 20

    Simplify development with the AI-powered code companion

    2023 · code-genius.dev · its alternatives →

  21. 21

    ProgramBench evaluates whether language models can rebuild programs from scratch.

    May 2026 · programbench.com · its alternatives →

  22. 22

    Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

    Jan 2026 · github.com · its alternatives →

  23. 23

    I’m a former Systems Architect (Cisco/VMware) turned builder in Thailand. TheAuditor v2.0 is a complete architectural rewrite (800+ commits) of the prototype I posted three months ago. The "A-ha" moment for me didn't come from a success; it came from a massive failure. I was trying to use AI to refactor a complex schema change (a foundation change from "Products" to "ProductsVariants"), and due to the scope of it, it failed spectacularly. I realized two things: * Context Collapse: The AI couldn't keep enough files in its context window to understand the full scope of the refactor, so it…

    Dec 2025 · github.com · its alternatives →

  24. 24

    We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…

    2025 · github.com · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →