Alternatives

Products that do what AgentNexus – coordinate LLM agents by service boundary, not role does

12C
20+ Claude Code agents coordinating on real work (open source)▲53
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
2AA
Axe – A CLI for running single-purpose LLM agents▲6
Mar 2026 · github.com
3SA
Sub-Agent MCP: LLM delegation and sub-agent orchestration via MCP▲6
Jun 2026 · github.com
4ZG
ZenModel – Golang framework for LLM Agentic apps▲5
2024 · github.com
5AA
ATO – a GUI to see and fix what your LLM agents configured▲6
Mar 2026 · github.com
6AA
Agent Actors – Plan-Do-Check-Adjust with Parallelized LLM Agent Trees▲8
Hey HN! Been working on this library for architecting stateful LLM agent trees that execute in parallel. Think of it like a AI scheduler for BabyAGIs or AutoGPTs, like: ----- Parent (Plan and Adjust): Chief Revenue Officer / VP Sales Children (Do and Check): 3 Sales Development Representatives; 2 Account Managers; 1 Market Researcher. You can give the CRO a task and it will break it down, distribute it appropriately to its children, and the children will work in parallel on the task. ----- Curious to hear your feedback first HN, we're launching on Twitter tomorrow!
2023 · github.com
7LA
LLM agents to extract web data▲8
2024 · twitter.com
8OS
Open-source 2D IDE for managing agent CLIs▲9
May 2026 · 49agents.com
9AA
Agex – An agent framework that lives in your Python runtime▲5
2025 · ashenfad.github.io
10LC
Local Coding Agent with LLMs to Delegate Tool Calls to Small AI Models▲9
May 2026 · github.com
11AO
Agent Office – Slack for (OpenClaw Like) AI Agents▲5
Mar 2026 · github.com
12IB
I built a firewall for agents because prompt engineering isn't security▲7
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
13TS
Trama – Stop writing agent orchestration▲7
Mar 2026 · github.com
14CM
Composable middleware for LLM inference Optimization Passes▲7
Hey HN, I've been building AutoAgents, an AI agent framework in Rust. Today I'm sharing a feature I haven't seen done well elsewhere: composable middleware layers for LLM inference pipelines. The problem Every agent framework lets you swap LLM providers. Almost none of them give you a structured way to enforce safety, caching, or data sanitization in the inference path itself. You end up with guardrails as application-level if-statements, caching bolted on as a separate service, and PII handling as a "we'll add it later" TODO that never ships. This gets worse with local models. Cloud APIs…
Mar 2026 · github.com
15ZG
Zkit – Go libraries for building agents, not a framework▲6
Jun 2026 · zarldev.github.io
16PE
Plano – Edge and service proxy with orchestration for AI agents▲8
Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…
Jan 2026 · github.com
17AA
Agentic AI framework specialized in DX and function calling▲8
2025 · github.com
18GA
Galdor – a Go LLM agent framework with built-in tracing and replay▲7
Jun 2026 · github.com
19RA
Running AI agents across environments needs a proper solution▲8
Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…
Mar 2026 · github.com
20
Coordination Layer for Coding Agents▲9
We built an open sourced coordination layer for AI agents working on the same repository. Detects work duplication and design conflicts early
9d ago · twing.dev
21AA
Agent Armor, a Rust runtime for enforcing policies on AI agent actions▲7
Apr 2026 · github.com
22OA
Orpheus, An Agent runtime that scales on queue depth and not CPU▲6
Feb 2026 · github.com
23ST
Smux – Terminal Multiplexer built for AI agents▲5
Mar 2026 · github.com
24DO
Dynamiq – orchestration framework for agentic AI and LLM applications▲7
Dynamiq is an orchestration framework for agentic AI and LLM applications
2024 · github.com

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