Promptise
The foundation layer for agentic intelligence.
Promptise launched on April 24, 2026 with 1 votes, #8,101 of 21,248 launches that month.
What it does
Promptise is an open-source Python framework for building Agentic Systems. Turn any LLM into a production-ready agent and skip months of glue code. Five composable modules: the Agent for production-ready agents with zero boilerplate, the Reasoning Engine to design how your agent thinks from the ground up, MCP for scalable, secure and production-ready APIs that agents understand, the Agent Runtime for autonomous agents that run forever and Prompt Engineering for prompts built like software.
Build production AI agents with MCP tool discovery, security guardrails, persistent memory, and autonomous runtime. Open source. pip install promptise.
One framework to go from prototype to production. Agents that discover tools, remember context, and guard themselves. MCP servers with auth, governance, and audit trails. A Reasoning Engine to build how your agent thinks — like bricks. Deploy autonomous agents that work around the clock — with lifecycle management, crash recovery, and mission-driven execution. Five subsystems. One install. Everything you need to go from prototype to production. Use one or all five. The interfaces are consistent and the behavior is predictable. Point at MCP servers — tools are discovered automatically. Memory is searched and injected before every turn. Guardrails block injection attacks in real time. Powered…from promptise.com
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- PEPrompt Engineering Made Easy2023 · ▲23
Hey HN, We've been hard at work on a tool that we believe will change the game for developers, data scientists, and anyone working with models that rely on textual prompts. I'm excited to introduce our new tool: Automated Prompt Engineering (APE). Problem: As many of you know, how you phrase a prompt can significantly impact the results you get from models, especially with sophisticated language models. It often requires numerous iterations to hone in on the right prompt to obtain the desired response. Solution: APE is designed to tackle this exact problem. With APE, you can: - Iterative…
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