Alternatives
Products that do what Pilot Protocol – a network where AI agents find tools and each other does
We built a protocol that gives AI agents an address, plus discovery/trust/payments between agents. Agents install it themselves with one line (see on pilotprotocol.network) - about 250k have, exchanging ~2B packets/day, mostly without their owners’ knowledge. The interesting part for HN is probably the App Store model: publishers list tools, and agents autonomously discover and install them (30k installs in the first two weeks). Happy to answer anything about the architecture, trust model, or the weird stuff agents do on the network.
- 1
- 2
- 3
- 4
- 5
- 6TP
Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…
Feb 2026 · mnemom.ai
- 7
- 8
- 9PC
Hey HN — 2 months ago we shared our first product with the HN community (https://news.ycombinator.com/item?id=43362535). Despite receiving lots of traffic from HN, we didn’t see any traction or retention. One of our major takeaways was that our product was too complicated. So we’ve spent the last 2 months iterating towards a much more focused product that tries to do just one thing really well. Today, we’d like to share our second launch with HN. Our original idea was to help software engineers build high-quality LLM applications by integrating their domain knowledge into a…
2025 · withpi.ai
- 10
- 11
- 12
ask an agent to buy something, and it hits a wall. Why?
Mar 2026
- 13AU
2025 · github.com
- 14
- 15IM
Well, I wouldn't call it a framework, but rather an easy way to define tools and agents, allowing the agent to think and do the work. - Currently supports Open AI, and DeepSeek models. I tried building an HN title recommender agent with this framework that analyzes top-performing posts on HN and suggests titles for HN posts. And this was the agent's reply after inspecting 10 best posts: Having analyzed the top 10 performing posts on Hacker News, we've observed that successful titles are often concise, intriguing, and sometimes provocative or impactful. They tend to evoke curiosity, highlight…
2025 · github.com
- 16AP
2023 · github.com
- 17AA
Background: I've been working on agentic guardrails because agents act in expensive/terrible ways and something needs to be able to say "Maybe don't do that" to the agents, but guardrails are almost impossible to enforce with the current way things are built. Context: We keep running into so many problems/limitations today with MCP. It was created so that agents have context on how to act in the world, it wasn't designed to become THE standard rails for agentic behavior. We keep tacking things on to it trying to improve it, but it needs to die a SOAP death so REST can rise in it's…
Mar 2026 · github.com
- 18
- 19AI
The goal of Agentic is to create a set of standard AI functions / tools which are optimized for both normal TS-usage as well as LLM-based apps. It's designed to work with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, Firebase Genkit, etc) via adaptors. Would love feedback from the HN community :)
2024 · github.com
- 20
Ops layer for AI agent fleets: traces, memory, hard budgets
Jul 2026 · cartha.in
- 21AA
Hey HN, Staff Engineer at Ably here. Over the past few months I've been speaking to engineers building AI assistants, copilots, and agentic workflows (over 40 companies at this point), with particular focus on cloud-hosted agents. I expected the hard problems to be in model selection, prompt engineering, and orchestration. Instead, the same infrastructure challenges kept coming up: realtime sync between agents and end clients is surprisingly painful to get right. - Managing and scaling WebSocket or SSE connections between agents and clients - Buffering messages server-side and implementing…
Jan 2026 · ably.com
- 22
Humans need to network. Agents do too
3d ago · platform.serpyn.com
- 23HO
gm gm, We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution. What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding.…
2024 · hivenetwork.ai
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →