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Alternatives

Products that do what Dhee does

Context compiler for coding agents

  1. 1

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io

  2. 2
    HAR110

    Open Source harness for multi-agent coding workflows

    Aug 2026 · github.com

  3. 3

    A version of GPT-5 better at agentic coding

    Sep 2025

  4. 4AO

    Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

    Jan 2026 · github.com

  5. 5

    Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints. - GitHub - AntigmaLabs/ante: Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. I

    27d ago · github.com

  6. 6

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev

  7. 7
    Keen Code125

    A context-efficient CLI coding agent built by agents

    Jun 2026 · mochow13.github.io

  8. 8

    Runtime firewall for AI coding agents.

    8d ago · contextfence.dev

  9. 9KO

    Hi HN, we’re open-sourcing ktx. It’s an executable context layer that makes agents reliable on your data stack. We built it after going through the experience of building production-grade data agents for dozens of companies. If you’ve also tried building them, or simply tried using Claude Code or Codex on your data warehouse, you’ll know that accuracy is the #1 issue. Agents are great at generating valid SQL, but it’s not always correct SQL. To cite a few examples of “agents gone wrong”: - Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code…

    May 2026 · github.com

  10. 10

    Local semantic search for AI agents

    Aug 2026 · tryreference.com

  11. 11
    Vexp14

    Local-first context engine for AI coding agents

    Mar 2026 · vexp.dev

  12. 122C

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com

  13. 13

    Attach reference projects for AI coding tools

    Apr 2026 · marketplace.visualstudio.com

  14. 14FL

    Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…

    2025

  15. 15
    Moshi38

    the mobile interface for AI coding agents

    Jan 2026

  16. 16AB

    Hi HN, Zidan here. I’ve been experimenting with AI-assisted debugging and noticed a recurring gap: most tools optimize for agent-led exploration (ex: giving claude code a browser to click around and try to reproduce an issue). But in many cases, I've already found the bug myself. What I actually want is a way to hand the agent the exact context I just saw - without retyping steps, copying logs, or hoping it can reproduce the behavior. So we built FlowLens, an open-source MCP server + Chrome extension that captures browser context and lets coding agents inspect it as structured, queryable…

    Nov 2025 · github.com

  17. 17

    Your company-wide AGENTS.md

    Jun 2026 · alignbase.ai

  18. 18

    Engineering signal for AI-assisted teams

    Jun 2026 · context-mode.com

  19. 19AC

    Hey HN, I’m Hang. Today I’m open-sourcing InsForge, a context aware backend for AI coding agents. When using agents like Cursor or Claude to build applications, they often assume what the backend looks like instead of inspecting it. Without access to the actual backend state, they fall back on outdated information, which leads to concrete issues. For example: 1. Storage, edge functions, and database logic are closely connected. Without understanding how these parts interact, existing setups get overwritten and important flows break. 2. Database migrations conflict with foreign keys or miss…

    Oct 2025 · insforge.dev

  20. 20AC

    I'm Anand, co-founder and CTO of Altimate AI. My co-founder Pradnesh and I are open-sourcing Altimate Code. AMA. Why we built this: Pradnesh and I have been building tooling for data engineers for three years: dbt Power User and Datamates vscode extensions with combined 750k+ installs, running against real Fortune 500 data estates. The pattern we kept seeing: general-purpose agents can write SQL, but they have no model of what the SQL does. No lineage. No schema context. No understanding of what's in a dbt manifest. That's not a prompt problem; it's a missing tool layer problem. The numbers…

    Mar 2026 · github.com

  21. 21UA

    Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior and multi-agent patterns—all while keeping track of everything without breaking anything. It was driving me insane. So I built UltraContext. The mental model is git for context: - Updates and deletes automatically create versions (history is never lost) - Replay state at any point The API is 5 methods:…

    Jan 2026 · ultracontext.ai

  22. 22GM

    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

  23. 23
    hob14

    The independent workspace for professional agent work

    Jul 2026 · hob.dev

  24. 24
    Vexp12

    Cut AI coding costs 58% with pre-indexed codebase context

    Mar 2026 · vexp.dev

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