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Alternatives

Products that do what Eliezer – Tiny (~7K LOC) Self-Hosted AI Agent (PWA, Self-Editing) does

Eliezer is ~7K lines of TypeScript, MIT open-source - PWA for mobile/desktop with push notifications - Self-editing protocol - Builds and displays interactive apps/widgets right in the chat - Task and Crons - "notify if sunny tomorrow at 10am") - Persistent SQLite memory + auto context compaction - Bring your own LLM API key (Kimi/Claude/Grok/etc.) - Full visibility/control - You see all tool calls and can abort in all states Agent repo: https://github.com/Eliezer-app/eliezer Chat repo:…

  1. 1NC

    I’ve been running Clawdbot for the last couple weeks and have genuinely found it useful but running it scares the crap out of me. OpenClaw has 52+ modules and runs agents with near-unlimited permissions in a single Node process. NanoClaw is ~500 lines of core code, agents run in actual Apple containers with filesystem isolation. Each chat gets its own sandboxed context. This is not a swiss army knife. It’s built to match my exact needs. Fork it and make it yours.

    Feb 2026 · github.com

  2. 2IP

    The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…

    Mar 2026 · georgelarson.me

  3. 3

    AI-powered chat & code review

    2024

  4. 4NO

    Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…

    2024 · github.com

  5. 5BT
  6. 6DW

    For almost two years, we've been developing Charlie, a coding agent that is autonomous, cloud-based, and focused primarily on TypeScript development. During that time, the explosion in growth and development of LLMs and agents has surpassed even our initially very bullish prognosis. When we started Charlie, we were one of the only teams we knew fully relying on agents to build all of our code. We all know how that has gone — the world has caught up, but working with agents hasn't been all kittens and rainbows, especially for fast moving teams. The one thing we've noticed over the last 3…

    Apr 2026 · charlielabs.ai

  7. 7

    Hi HN, I’m Michael, I built AgentGrid with my friend Souren because we were tired of losing our coding sessions and couldn't keep track of what was actually being built across our many projects. Our approach was to use an infinite canvas desktop app for the TUIs we already know and love, mainly claude + codex. We drew inspiration from Figma and Railway. Overtime we added image nodes, notes, terminals, coding editors, source control, etc. I wasn't sure about it at first. It took me a month to give the first version Souren built a real try. What got me was an Apple System Update I've been…

    Jul 2026 · agentgrid.sh

  8. 8AT

    I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

    2025 · llmapitest.com

  9. 9AA

    Hey HN! Previous CERN physicist turned hacker here. We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development. Today we're launching as Lovable (previously gptengineer.app) since it's such a big change. The problem? AI writing code typically make small mistakes and then get stuck. Those who tried know the frustration. We fixed most of this by mapping out where LLMs fail in full-stack dev and engineering around those pitfalls with prompt chains. Thanks to this, in all comparisons I found with: v0,…

    2024 · lovable.dev

  10. 10OC

    Hi HN, I’m the creator of pycoClaw. I wanted to run OpenClaw-class, platform-agnostic, autonomous agents on MicroPython hardware, but standard tools couldn't handle the scale of the task. pycoClaw is the result, which bridges the gap between high-level AI reasoning and bare-metal execution. The Stack: - PFC Agent (~26k LOC): A full-featured agent that uses an LLM to 'self-program' its own local MicroPython scripts. Once a task is solved, it runs locally without requiring the LLM. - ScriptoStudio IDE: A PWA https://scriptostudio.com designed for the iteration speed required by…

    Mar 2026 · pycoclaw.com

  11. 11IB

    I’ve been playing around with local LLMs for the past couple of months and decided to build something that can run on an iPhone. It’s a universal app built with SwiftUI and the excellent ggml library. The model is an SFT fine tuned and 4 bit quantised version of the RedPajama-INCITE-Chat-3B-v1 OSS LLM. It works reasonably well on recent-ish (~3 year old) iPhones, iPads and Macs. It was launched on the App Store yesterday[1] and Product Hunt today[2]. It seems to be reasonably ok at natural language interactions, but given its size, does pretty badly at coding and reasoning. Also, it…

    2023

  12. 12MC

    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

  13. 13

    LLM-powered coding assistant — in your terminal

    Feb 2026 · github.com

  14. 14OT

    Hey HN, Sascha here, developer of OkaiDokai. Like many others, I fell in love with OpenClaw, but was longing for more control over what it can do without interrupting its autonomous, agentic nature. OkaiDokai solves this for me by allowing me to set up my own rule set of what is allowed by default, what is not, and what it should ask permission for. It comes with a hosted API, web and native apps including push notifications (with quick-response support), plugins for OpenClaw and Claude Code, and soon Codex. I'm still working on getting the apps onto the App Store (currently on TestFlight…

    Feb 2026 · okaidokai.com

  15. 15

    Chat with 300+ AI models in one place with 20+ free

    Jul 2026 · chats-llm.com

  16. 16WO

    Hey HN, I’m really excited to show off a project I’ve been tweaking and tuning for more than seven months. One thing that drove me nuts about running LLMs locally was having to use terminals, install Python, and write code for the most basic things. I write software, but I don’t want to have to write it just to use a chatbot. So, I made Wingman with a friendly interface that lets you get started with zero coding or terminals required. It runs on MacOS and Windows, and even evaluates AI models up front to determine if they will run on your machine. There’s other stuff it does, too, like let…

    2024 · github.com

  17. 17TT

    Hi everyone, nice to meet you and I am a newcomer of HN. I have made a binary tool Aih that could communicate with Bard, ChatGPT, Claude, and Llama(HuggingChat) from the terminal. https://github.com/Databingo/aih Since CAPTCHA challenges and bots detecting have become increasingly difficult, I've changed my strategy from hacking the APIs to simulating a real browser's action. The tool first takes the logged-in cookies of Google, ChatGPT, Claude, and HuggingChat accounts from the real Chrome browser, then it opens an invisible instance of Chromium for communication, then…

    2023 · github.com

  18. 18MY

    LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!

    2023 · github.com

  19. 19OS

    Hi HN, Hugh and Vince here. LLMonitor helps you record, trace & search your LLM queries and chatbot conversations. You can also capture user feedback on your frontend and correlate it with backend LLM queries then use that to fine-tune your own models. The project started has an internal tool in our previous (failed) AI startup. We’re aware the LLM observability space is very crowded. Apart from being open-source, we differentiate with: - Model-agnostic and minimal lock-in (no MITM of requests). - High focus on DX and dashboard clarity. - Support for complex scenarios: e.g. a chatbot that…

    2023 · github.com

  20. 20WI

    At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk

    Dec 2025 · laminar.sh

  21. 21AG

    I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai

    Apr 2026 · aiaiai.guide

  22. 22PO

    Hey HN, A bit of backstory: I was job hunting for months, applying everywhere and racking up a ton of rejections. It got frustrating, so I decided to flip the script and build something useful instead: an open-source take on Cluely, that popular stealth AI tool from the $15M company. I figured why not recreate something that's already out there and buzzing, but make it free, transparent, and way better for privacy. Plus, it felt like a fun challenge. This is actually my first project ever using Tauri, and I'm hooked. I started out trying Electron, but it just wasn't cutting it for something…

    2025 · github.com

  23. 23WB

    Hi HN, I'm one of the creators of Nanobrowser, an open-source Chrome extension that lets you automate web tasks using AI agents. We were inspired by the potential of tools like OpenAI's Operator, but we wanted something that was: -Open-Source:You can see the code, modify it, and contribute to the project. -Browser-Based:No complex setups or server deployments. It runs directly in your browser. -Customizable:You can tailor the agent's behavior to your specific needs. -BYO LLM:Bring your own large language model API key (OpenAI, Anthropic,or even local models), No vendor lock-in. -Privacy…

    2025 · github.com

  24. 24AL

    Hi HN, This is Andrei from askmanu and I'm super happy to share a new framework I've been working on: acorn. It takes all the best parts of DSPy, langchaing, instructor, etc and wraps it in a beautiful and easy to use API. Very easy to define model I/O, branches, define callbacks for every step, etc See the getting started docs here: https://github.com/askmanu/acorn/blob/main/docs/getting-star... Try out the different demos here: https://huggingface.co/spaces/askmanu/acorn

    Feb 2026 · github.com

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