Alternatives
Products that do what inferXspace does
Open-source AWS Bedrock alternative — 100+ models, one API
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Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
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We've been building Crust (https://crustjs.com/), a TypeScript-first, Bun-native CLI framework with zero dependencies. It's been powering our core product internally for a while, and we're now open-sourcing it. The problem we kept running into: existing CLI frameworks in the JS ecosystem are either minimal arg parsers where you wire everything yourself, or heavyweight frameworks with large dependency trees and Node-era assumptions. We wanted something in between. What Crust does differently: - Full type inference from definitions — args and flags are inferred automatically. No…
Mar 2026 · github.com
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Hey HN, Eleven is the second project that I've built to learn Go. It lets you create a code sandbox in your cloud provider account easily. What's a "code sandbox"? Just a VM, running in your cloud provider account, with some runtimes pre-installed, your repositories cloned, a way to connect to it with your preferred editor (or via SSH) and a way to serve your apps easily via HTTP (with automatic HTTPS). You could use it to deploy your app, as a remote development environment or even to test some code. It's up to you. For example, to deploy a Node.JS app: $ eleven aws init hello-world…
2022 · github.com
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Hi HN! I’m Tony, co-founder of Inngest. I wanted to share AgentKit, our Typescript multi-agent library we’ve been cooking and testing with some early users in prod for months. Although OpenAI’s Agents SDK has been launched since, we think an Agent framework should offer more deterministic and flexible routing, work with multiple model providers, embrace MCP (for rich tooling), and support the unstoppable and growing community of TypeScript AI developers by enabling a smooth transition to production use cases. This is why we are building AgentKit, and we’re really excited about it for a few…
2025 · github.com
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13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com
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Hey HN, Eleven is the second project that I've built to learn Go. It lets you create code sandboxes, in your cloud provider account, easily. What's a "code sandbox"? Just a VM, running in your cloud provider account, with some runtimes pre-installed, your repositories cloned, a way to connect to it with your preferred editor (or via SSH) and a way to serve your apps easily via HTTP (with automatic HTTPS). You could use it as a remote development environment, to test some code or even to deploy your app. It's up to you. For example, to deploy a Node.JS app: $ eleven aws init hello-world…
2022 · github.com
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Hey HN! We are happy to share with you our latest project: Llama Workspace (https://llamaworkspace.ai). It's an open-source ChatGPT Teams alternative made with the needs of businesses and organizations in mind. It has everything you can expect from ChatGPT, plus first class support for users and roles management, as well as advanced collaboration features. We've made it very easy to self-host anywhere you like, and we also provide a cloud version. So no excuse for trying it out! Why using Llama Workspace instead of ChatGPT Teams? - You have access to all the major Large Language…
2024 · llamaworkspace.ai
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Your OpenClaw — in your pocket, on your hardware. Free.
May 2026 · carapace.info
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Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
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We’ve published a set of open-source reference implementations on how to build production-grade Agentic AI applications on AWS. What’s in the repo: • Agentic RAG, memory, and planning workflows with LangGraph & CrewAI • Strands-based flows with observability using OTEL & Arize • Evaluation with LLM-as-judge and cost/performance regressions • Built with Bedrock, S3, Step Functions, and more GitHub: https://github.com/aws-samples/sample-agentic-frameworks-on-... Would love your thoughts — feedback, issues, and stars welcome!
2025 · github.com
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