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Alternatives

Products that do what devnexus – persistent context across repos, sessions, and engineers does

devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback

  1. 1

    Persistent memory for AI coding agents

    Apr 2026

  2. 2

    The open-source kernel for coding agents

    10d ago · akonlabs.com

  3. 3

    Repo-native memory for coding agents

    Jul 2026 · github.com

  4. 4

    Multi-project IDE with persistent terminals and 9 dev tools

    Mar 2026

  5. 5

    Portable memory for agent workflows

    Apr 2026

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    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026

  7. 7
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  8. 8

    SOTA open-source agentic coding models and CLI agent

    Dec 2025

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    Greplica186

    Self updating wiki for coding agents

    Jul 2026 · github.com

  10. 10
    OpenClix148

    Agent-driven retention flows for mobile apps.

    Mar 2026

  11. 11

    The fastest workflow for developing with AI

    26d ago · agent-manager.dev

  12. 12DP

    Hello HN, I'm Ali, building Decispher. The problem we're working on is that coding agents repeatedly rediscover context that already exists inside an engineering organization. A developer working on a feature can combine information from previous PRs, Jira tickets, Slack discussions, ownership boundaries, architectural decisions and their own experience. Coding agents usually start with a prompt and a repository, then spend tokens searching for that same context—or miss it entirely. Decispher is a context and memory layer for engineering agents. It currently has three parts: 1) Context…

    6d ago

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    Concurrent coding from your own IDE or terminal of choice

    2022

  14. 14

    The context hub for your agents

    Feb 2026

  15. 15

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

    Jul 2026 · agentgrid.sh

  16. 16

    Memory for coding agents that learns how your team works

    4d ago · decispher.com

  17. 17IB

    The main goal of this was to be able to not just run multiple Claude Code sessions at once, but actually manage them and keep track of what I was doing. Sometimes this is multiple attempts on the same task, sometimes I work several tasks at once. Really I was just sick of twiddling my thumbs waiting for the coding agent to finish, and I wanted it to be easy to work on/review/test another change while I waited.

    2025 · github.com

  18. 18RA

    Hi HN, I recently open sourced a small tool (Remuda) that I built at work to remove some of the friction of launching and managing agents and figured HN might be interested. I also wrote a post on the company blog that goes into more detail about why I built it and showcases its features: https://www.yendo.com/blog/remuda-an-agent-orchestrator

    Jun 2026 · github.com

  19. 19TO

    I built DevClaw, an OpenClaw plugin that turns each Telegram group into an isolated, autonomous dev team: planner/orchestrator, DEVs, and QA all running on their own. I use it for all my development now. Issues on GitLab/GitHub are the single source of truth, and three things compound to save around 70% on tokens: model tiering (Haiku for typos, Opus for architecture), session reuse across tasks, and token-free scheduling that burns zero LLM calls for orchestration. Please try it and give some feedback. Also keen to hear from anyone running autonomous coding agents, especially what…

    Feb 2026 · github.com

  20. 20RT

    rx is a lightweight CLI and runtime that lets you deploy any function instantly as you save it in your editor. It’s fast, simple, and takes care of setting up all your cloud infrastructure. The best dev experience with everything you need built-in: - auth - permissions - payments - secrets - storage - logs - email & SMS - and way more Related beta launch tweet: https://x.com/KhalidZoabi/status/1777673531972608249 Wanted to show it to you guys, gauge interest, and get some feedback. There's a large roadmap of upcoming stuff. Feel free to DM me on X for more information!

    2024 · rx.run

  21. 21CO

    So I've been building ClawMem, an open-source context engine that gives AI coding agents persistent memory across sessions. It works with Claude Code (hooks + MCP) and OpenClaw (ContextEngine plugin + REST API), and both can share the same SQLite vault, so your CLI agent and your voice/chat agent build on the same memory without syncing anything. The retrieval architecture is a Frankenstein, which is pretty much always my process. I pulled the best parts from recent projects and research and stitched them together: [QMD](https://github.com/tobi/qmd) for the…

    Mar 2026 · github.com

  22. 22IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

  23. 23TA

    Hi everyone! I built this because I wanted a little bit more organization around my Claude sessions, worktrees and plans while staying in the terminal and not relying on another SaaS tool. Since it's a command line tool, the added bonus is that Claude can use `td` directly. The td calendar was just a fun add-on but the Claude session stats have been pretty interesting! Let me know what you think!

    Apr 2026 · github.com

  24. 24IB

    TLDR; I built a tool that turns any API into a CLI designed for ai agents --- Got tired of dealing with bloated context windows from MCP servers and skills that stuff entire API docs into the agent's context CLIs fix this, agents run a single command to self-discover everything an API has to offer So, built a tool to generate them for any api. All CLIs are written in Go, fast and lightweight, no dependencies Help text (via the --help flag) is the killer feature: all context for each command/endpoint/parameter is extracted directly from the user-facing API docs and enhanced with…

    Mar 2026 · instantcli.com

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