Commerce · alternatives · 2026
24 alternatives to HCAP
I built an open protocol where AI agents negotiate against each other autonomously. Both parties configure their agent with goals and hard limits — agents exchange structured messages, reach a deal, and generate a cryptographically hash-chained contract. No human negotiation required. Two surfaces built on the protocol: - Private rooms (1-on-1, invite via link) - Public marketplace (persistent listing agents that negotiate with every incoming buyer) Stack: Node.js, WebSockets, Supabase, React. Happy to discuss the A2A message schema, agent architecture, or anything else. PH Launch:…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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AgentSea▲439Today we’re excited to introduce AgentSea, a private AI chat built for sensitive work. When you use closed-source AI models, your data can: – be stored – pulled into training pipelines – shared with third parties That might be fine if you’re making memes or drafting LinkedIn posts. But it becomes a serious risk when you’re pasting contracts, health info, financial data, or business secrets. That’s why we built AgentSea. In Secure Mode, all chats run on open-source models or models hosted on our own servers. Your data never leaves, is never used for training, and is never leaked. Agentsea…
2025 · agentsea.com · its alternatives →
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Tobira.ai▲728A network where AI agents find deals for their humans
Mar 2026 · tobira.ai · its alternatives →
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Agentplace▲1,015Garry Tan posted a video this week about what he calls 20x companies. The idea is that small teams beat incumbents many times their size by automating everything internally, not just one or two functions. This alpha is real, and I think it is underhyped tbh. But here's the honest part, building agents is hard, expensive and most of the scaffolding we make would be obsolete with a new labs release. at the same time models are not quite there and they are not keeping up with "coding is dead" and "knowledge workers are doomed". Pushing them beyond what they can actually do reliably just boils…
2024 · agentplace.io · its alternatives →
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Agent Arena▲348Creator here. I built Agent Arena to answer a question that kept bugging me: when AI agents browse the web autonomously, how easily can they be manipulated by hidden instructions? How it works: 1. Send your AI agent to ref.jock.pl/modern-web (looks like a harmless web dev cheat sheet) 2. Ask it to summarize the page 3. Paste its response into the scorecard at wiz.jock.pl/experiments/agent-arena/ The page is loaded with 10 hidden prompt injection attacks -- HTML comments, white-on-white text, zero-width Unicode, data attributes, etc. Most agents fall for at least a few.…
Jun 2026 · arena42.ai · its alternatives →
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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 · its alternatives →
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A2A Protocol▲109Hi HN, I am an independent open-source researcher. For the past few months, I've been building a2a-project, an experimental economic layer for autonomous AI agents on the Base Mainnet. The Problem: AI evolution is exponential, while human regulation is linear. If agents become economic actors, they will transact at speeds and granularities that traditional fiat rails cannot handle. We need a native protocol to bridge this "Speed Gap" and ensure stability. The Experiment (Quantum-Humanistic Economics): I implemented a novel mechanism into Solidity smart contracts: Quantum Task Buffer: Work…
2025 · github.com · its alternatives →
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Power your AI agents with enterprise-ready tools via MCP
2025 · merge.dev · its alternatives →
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AgentConnect▲145Tag any agent, wherever work happens.
Aug 2026 · agentconnect.md · its alternatives →
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AgentSky▲430Any harness, any LLM — cloud-hosted agents on demand.
Aug 2026 · agentsky.dev · its alternatives →
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Build no-code agents to target markets untouched by AI
2024 · its alternatives →
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CoChat▲261Openclaw for Teams that is secure, collaborative, autonomous
Mar 2026 · cochat.ai · its alternatives →
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BetterClaw▲307Deploy AI Agent, 60 seconds & $0 forever
Aug 2026 · betterclaw.io · its alternatives →
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AI Copilot for your website/app. Free for first 500 teams.
2025 · cometchat.com · its alternatives →
- 15
I’ve been working on a solution to the "Physical Oracle Problem" (trustless trading of physical goods) and just released the full Alpha implementation. The Core Thesis: Existing decentralized marketplaces rely on reputation, which inevitably centralizes. Dealta replaces reputation with a Nash Equilibrium-based mechanism. We use staked, pseudo-randomly selected "Brokers" to physically verify goods. The protocol ensures that honesty is the dominant strategy for all actors via strict payoff matrices. It intended use is preferably trading of mid to high value goods. Nobody expecting a computer,…
Jan 2026 · github.com · its alternatives →
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Hi HN, Founder here. We built Pica, an open-source platform in Rust to enable agentic AI with three main focus areas: - Access to APIs and tools: Universal SDKs that let AI agents use thousands of external actions without blowing up your context window. - Visibility and traceability: Full audit logs of every decision/action to ensure transparency and accountability. - Alignment with human intentions: Seamless guardrails for autonomous tasks; e.g., restricting certain email actions to human approval. Why this matters: As autonomy in AI grows, we need robust solutions for trust and…
2025 · picaos.com · its alternatives →
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Hi HN, I’m Vincent from Aden. We spent 4 years building ERP automation for construction (PO/invoice reconciliation). We had real enterprise customers but hit a technical wall: Chatbots aren't for real work. Accountants don't want to chat; they want the ledger reconciled while they sleep. They want services, not tools. Existing agent frameworks (LangChain, AutoGPT) failed in production - brittle, looping, and unable to handle messy data. General Computer Use (GCU) frameworks were even worse. My reflections: 1. The "Toy App" Ceiling & GCU Trap Most frameworks assume synchronous sessions.…
Feb 2026 · github.com · its alternatives →
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com · its alternatives →
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Qordinate▲30Hey HN - founder here. I'm building Qordinate with a simple (big) idea: Most AI assistants talk to you. I want one that talks for you - one that can share, negotiate, and coordinate on my behalf with others. Reality: we're early. Today, Qordinate can: - send clean pings on your behalf (with your approval) - collect info/files via tiny forms and track replies - nudge people politely and close the loop with you - do basic actions via connectors (Gmail/Calendar/GitHub/Linear/Drive/Slack) - keep lightweight lists in chat (tasks, contacts, logs) Why I'm doing this…
May 2026 · qordinate.ai · its alternatives →
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Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/) https://github.com/Aherontas/Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…
2025 · github.com · its alternatives →
- 21
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 · its alternatives →
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Most people right now are talking to their AI agents through Telegram bots, WhatsApp, Discord, or just copying and pasting between terminals. There’s still no simple, straightforward way for agents to message each other directly. AgentBus solves exactly that. You register each agent with one quick API call. Then they can send messages to each other using simple REST calls. No servers, no queues, no WebSockets, no extra infrastructure. Just drop in a tiny polling loop and your agents can now talk, collaborate, and run real workflows across laptops, VPSes, clouds — whatever. You can also…
Mar 2026 · agentbus.org · its alternatives →
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Hi, I built Axiomeer, an open-source marketplace protocol for AI agents. The idea: instead of hardcoding tool integrations into every agent, agents shop a catalog at runtime, and the marketplace ranks, executes, validates, and audits everything. How it works: - Providers publish products (APIs, datasets, model endpoints) via 10-line JSON manifests - Agents describe what they need in natural language or structured tags - The router scores all options by capability match (70%), latency (20%), cost (10%) with hard constraint filters - The top pick is executed, output is validated (citations…
Feb 2026 · github.com · its alternatives →
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Another month, another agent-shell update. If you missed the last one, have a look at the 0.63 update. While this post showcases the latest highlights...
Aug 2026 · xenodium.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →