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Alternatives

Products that do what Jeera does

Lives in the terminal, feels like Jira, works with agents.

  1. 1RE

    Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can think of it as an auto-generated MCP server that self-updates as the host app changes. The result is a skilled AI assistant that actually integrates deeply with any product (not just chat and RAG) with minimal effort. Check out these short demos below that show the agent in software you're probably familiar with: - Jira: https://demo.frigade.com/hn?skill=jira - Spotify:…

    Jul 2026

  2. 2
    jebi140

    A supercharged terminal for Mac with built-in local AI

    Jun 2026 · jebi.sh

  3. 3

    The modern Jira alternative for teams, free & now w/ Gitlab.

    2020

  4. 4
    Kimi K2.6342

    Open-source SOTA for long-horizon coding and agent swarms

    Apr 2026 · kimi.ai

  5. 5TU
  6. 6AK

    I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

    Apr 2026 · github.com

  7. 7
    Jitera104

    Shared context that turns AI into your teammate

    Apr 2026 · jitera.com

  8. 8GF

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com

  9. 9
    KushoAI153

    Open-source AI tester that lives in your CLI

    2025

  10. 10

    Live Codex task status in your macOS menu bar

    Aug 2026 · agentmicro.cc

  11. 11TI

    Hey HN, Small OSS project that i created for myself and want to share with the community. It's a declarative, scriptable, terminal-based IDE focussed on agentic engineering. That's a lot of jargon, but essentially its a multi-agent IDE that you start in your terminal. Why is that relevant? Thanks to tmux and SSH, it means that you have a really simple and efficient way to create your own always-on coding setup. Boot into your IDE through ssh, give a prompt to claude and close off your machine. In tmux-ide claude will keep working. The tool is intentionally really lightweight, because I think…

    Mar 2026 · tmux.thijsverreck.com

  12. 12

    kimi k2.6 cli code editor hosted on cloudflare workers AI

    Apr 2026 · sinameraji.github.io

  13. 13
    Hopper100

    First agentic development environment for mainframe/COBOL

    May 2026 · hypercubic.ai

  14. 14
    Dops74

    Automate your software development lifecycle

    2019

  15. 15

    The context hub for your agents

    Feb 2026

  16. 16AD

    I’ve been tinkering with what a “multi-agent IDE” should look like if your day-to-day workflow is mostly in terminal (Claude Code, OpenAI Codex, etc.). The more I played with it, the more it collapsed into three fundamentals: * A good TUI: Terminal is the center stage, with other stuff (CodeEdit, Diff, Review) baked on the side. I don’t like piping Agent’s output through some electron wrapper, here you get to run CC/Codex/Droid/Amp/etc directly. * Isolation: agents shouldn’t step on each other’s toes. The simplest primitive I’ve found is Git worktrees. It is not as…

    Jan 2026 · agentastic.dev

  17. 17

    One place to plan, run, and scale your coding agents

    Jul 2026 · atlassian.com

  18. 18JT

    I made Jeeves to search, preview, read through, and resume AI agent sessions in your terminal. It shows sessions across claude and codex in a single view, with more AI agent framework integrations to come.

    Apr 2026 · github.com

  19. 19

    One terminal. Every agent. Total clarity.

    May 2026 · github.com

  20. 20
    Jitre4

    Opensource project management with AI agents and MCP support

    Jun 2026 · github.com

  21. 21RA

    Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

    2025 · okteto.com

  22. 22KC

    Hello HN, Ever since agents have become increasingly common in development, I've been scratching my head as to how to control their randomness. Recently, I decided to emulate an issue-tracking and project-management tool for agent-driven workflows. Kanban is a Rust-based coordination layer designed to provide a feature-rich terminal interface and enforce rigorous workflows. It aims to be versatile and extendable, made to be tailored to any preferred flow. It comes with full git integration and guardrails such that only what truly benefits a project can go through. The workflow boils down to…

    May 2026 · codeberg.org

  23. 23AT

    Mar 2026 · github.com

  24. 24OA

    We were both genuinely impressed by Claude Code after it helped each of us fix nasty CI problems overnight. Doing those fixes manually would have taken days. After that experience, we each found ourselves struggling through Ctrl+Tab through multiple Claude Code windows in our terminals. While we enjoyed having agents working for us in parallel, context switching and cycling through each terminal tab was a real pain. So we thought: Can we design a TUI dashboard that manages a large swarm of agents in one place? Even better, can agents manage agents hierarchically, like how companies work?…

    May 2026 · omar.tech

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