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AI · alternatives · 2026

24 alternatives to Mastra Code

The AI coding agent that never compacts

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    We wanted to build a course for new Mastra devs to get started quickly. However, we knew videos would go out of date and be more difficult to maintain. We decided to launch our "course" as an MCP server. This way your coding agent actually teaches the course content to you and can help you write the code. We think this is a really interactive way to learn. Using an editor with MCP support (such as Cursor, Windsurf, or VSCode), your code agent will call the appropriate MCP tools which will return context for the agent. This context tries to instruct the agent that it should be teaching you…

    Aug 2026 · mastra.ai · its alternatives →

  2. 2

    Hi HN, we’re Sam, Shane, and Abhi, and we’re building Mastra (https://mastra.ai), an open-source JavaScript SDK for building agents on top of Vercel’s AI SDK. You can start a Mastra project with `npm create mastra` and create workflow graphs that can suspend/resume, build a RAG pipeline and write evals, give agents memory, create multi-agent workflows, and view it all in a local playground. Previously, we built Gatsby, the open-source React web framework. Later, we worked on an AI-powered CRM but it felt like we were having to roll all the AI bits (agentic workflows, evals,…

    Jan 2026 · github.com · its alternatives →

  3. 3

    We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

    Mar 2026 · github.com · its alternatives →

  4. 4

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev · its alternatives →

  5. 5

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  6. 6

    The context hub for your agents

    Feb 2026 · granary.dev · its alternatives →

  7. 7
    Runtimefree tier, from $99/mo▲303

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com · its alternatives →

  8. 8
    Keen Code▲125

    Hello community! I am here to share a coding agent I have built solo from scratch using agentic engineering. Written in Go, it's a proper coding agent, has features you expect from a useful agent for your daily work, with a minimal and simple UI. I have named it Keen Code. The repo is here: https://github.com/mochow13/keen-code Even though it started as an experiment, it is now a full-fledged coding agent for real software engineering work. It supports multiple providers, skills, MCPs, multi-agent orchestration through subagents, automatic compaction, etc. I have been…

    Jun 2026 · mochow13.github.io · its alternatives →

  9. 9

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com · its alternatives →

  10. 10

    Repo-native memory for coding agents

    Jul 2026 · github.com · its alternatives →

  11. 11
    tablo▲124

    A tiny cat that watches your AI coding agents for you

    Jul 2026 · tablo-cat.netlify.app · its alternatives →

  12. 12

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com · its alternatives →

  13. 13

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  14. 14
    GitHub▲10

    PMB is a local-first memory system for AI coding agents, running on MCP and storing data with SQLite and LanceDB. It preserves project context, decisions, and preferences across sessions and tools. I created it because coding agents frequently lose valuable context between sessions, especially on long projects. So, I'd love feedback from those who use coding agents regularly. What do you think should be auto-remembered versus what should always need explicit confirmation?

    Jun 2026 · github.com · its alternatives →

  15. 15

    Your AI has your code's text, never its map. Fix that.

    Jun 2026 · luuuc.github.io · its alternatives →

  16. 16

    Semantic code search and memory for AI coding agents. Sub-millisecond lookups, persistent context across sessions.

    Jan 2026 · ultrasync.dev · its alternatives →

  17. 17

    A directory of Context Plugins, one per API. Each one grounds your coding agent in the API’s real specification, so what it writes is ready for production.

    Sep 2026 · context.apimatic.io · its alternatives →

  18. 18

    Hey HN! Ilya and Nikita here. We're building wispbit (https://wispbit.com) - a tool that helps keep codebase standards alive. With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context. So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time. You can enforce…

    2025 · wispbit.com · its alternatives →

  19. 19

    Hi HN, I'm Tony. I built Grov (https://grov.dev/) because I hit a wall with current AI coding assistants: they are "single-player." The moment I kill a terminal pane or close a chat session, the high-level reasoning and architectural decisions generated during that session are lost. If a teammate touches that same code an hour later, their agent has to re-derive everything from scratch or read many documentation files for basically any feature implemented or bug fixed. I wanted to stop writing a lot of docs for everything just to give context to my agents or have to re-explain…

    Jan 2026 · github.com · its alternatives →

  20. 20

    Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…

    Jun 2026 · metabrain.eu · its alternatives →

  21. 21

    Persistent, project-local memory for AI coding agent via MCP

    Aug 2026 · opencntx.dev · its alternatives →

  22. 22

    MicroCodex is an ultra-lightweight coding agent that runs in your terminal - paoloanzn/microcodex

    Aug 2026 · github.com · its alternatives →

  23. 23

    Portable context for every AI. Never explain yourself twice.

    Jun 2026 · ao2.ai · its alternatives →

  24. 24

    I got tired of coding agents that feel like IDEs in disguise. Slow to start, full of chrome, opinionated about where you work. So I built one that doesn't get in the way. It's called *mini-coder*. The command is `mc`. Tagline: Small. Fast. Gets out of your way. Oh — and it mostly wrote itself (with some help from me). --- ## What it is mini-coder is a terminal-native AI coding agent built on *Bun.js* — fast startup, native TypeScript, built-in SQLite, no ceremony. It routes to *Anthropic, OpenAI, Google, Ollama, and Zen* and auto-detects your provider from env vars. No config file to write.…

    Mar 2026 · github.com · its alternatives →

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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 →