nowfound

Alternatives

Products that do what Mastra Code does

The AI coding agent that never compacts

  1. 1

    Persistent memory for AI coding agents

    Apr 2026

  2. 2

    The context hub for your agents

    Feb 2026

  3. 3
    Keen Code125

    A context-efficient CLI coding agent built by agents

    Jun 2026

  4. 4
    Gauge111

    Agent Led Growth: Get written into every customer's codebase

    19d ago · withgauge.com

  5. 5
    AGENTS.md229

    A README, but for your AI coding agent

    2025

  6. 6

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

    Jun 2026

  7. 7

    Repo-native memory for coding agents

    Jul 2026

  8. 8
    tablo124

    A tiny cat that watches your AI coding agents for you

    Jul 2026

  9. 9

    Turn your work into AI agent memory, served over MCP

    May 2026

  10. 10
    MiMo Code117

    A coding agent with explicit long-term memory architecture

    Jun 2026

  11. 11
    GPS83

    Memory layer for LLMs that stores repo rules + past lessons

    May 2026

  12. 12

    Enable agents to keep context & work across apps + sessions

    Jun 2026

  13. 13

    Portable memory for agent workflows

    Apr 2026

  14. 14

    AI-enhanced tasks and full context for your AI coding agent

    2025

  15. 15
    Mi75

    30-line zero-config CLI agent for bug fixes + refactoring

    May 2026

  16. 16

    Your AI agents team, terminals, notes: one infinite canvas

    Jul 2026

  17. 17

    Give your AI coding agent the web as a command line

    Jun 2026

  18. 18

    Local semantic search for AI agents

    30d ago · tryreference.com

  19. 19

    AI-native coding assistant that helps developers in any IDE

    Jun 2026

  20. 20MA

    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

  21. 21

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

    7d ago · opencntx.dev

  22. 22MC

    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

  23. 23CC

    agents. Not a custom truncation strategy, not a sliding window, not dropping old messages and hoping for the best. The failure mode is well-understood: your context window fills up, you truncate from the top, and the agent loses the thread. It forgets the task it was working on, the file path it just wrote to, the UUID it needs to reference. The conversation breaks. The problem is everyone keeps solving it by throwing away information instead. Truncation is fast to implement and quietly wrong. The agent appears to work until it doesn't, and debugging context loss in a long-running session is…

    Mar 2026 · github.com

  24. 24CA

    Jul 2026 · codingagentsurvey.org

Ranked by how close each launch is in meaning, then by votes. Refine with a description →