OpenMolt
Hi HN! I built OpenMolt, an open-source framework for creating programmatic AI agents in Node.js. Instead of wiring complex workflows (that can break), you define agents in code with instructions, tools, integrations, and memory. The agent then plans steps and executes actions like calling APIs, updating data, or interacting with services. When things break or change, the agent can adapt instead of failing like static workflows. The goal is to make agents behave more like real software systems than prompt scripts. It includes: - a planning/execution loop - tool and API integrations -…
OpenMolt launched on March 14, 2026 with 132 votes, #291 of 23,380 launches that month and more than 95% of that year's launches.
What it does
OpenMolt lets you build programmatic AI agents in Node.js that think, plan, and act using tools, integrations, and memory — directly from your codebase.
import OpenMolt from 'openmolt'; const om = new OpenMolt({ llmProviders: { openai: { apiKey: process.env.OPENMOLT_OPENAI_API_KEY }, }, }); const agent = om.createAgent({ name: 'Comedian', model: 'openai:gpt-4o-mini', instructions: 'You are a witty stand-up comedian.', }); const result = await agent.run('Tell me a joke!'); console.log(result); Copy Capabilities Everything You Need A complete toolkit for building production-grade autonomous AI agents. 🔐 Secure by Design Agents access only the scopes you grant. API credentials never leave your server. The LLM only sees tool names, never raw credentials. 🤖 Multi-Provider LLM Use OpenAI GPT-4o, Anthropic Claude, or Google Gemini with a unified…from openmolt.dev
In the maker’s words, at launch
Hi HN! I built OpenMolt, an open-source framework for creating programmatic AI agents in Node.js. Instead of wiring complex workflows (that can break), you define agents in code with instructions, tools, integrations, and memory. The agent then plans steps and executes actions like calling APIs, updating data, or…
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Moltis – AI assistant with memory, tools, and self-extending skillsFeb 2026 · moltis.org · ▲131Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging…
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