@fchollet This open-source Integrated Research Environment (IRE) helps exactly this type of collaboration between humans and AI: https://t.co/ARFNha036x
@EmmaScharfmann LLMs are great at SUPPORTING brainstorms and execution, NOT REPLACING humans, who must still provide direction and understand dead ends. This open source Integrated Research Environment (IRE) goes exactly in this direction. You will find it interesting: https://t.co/ARFNha036x
@omarsar0 Maintaining context over days / months / years is what needs to be solved to make agents really helpful in research. You might be interested in how we do it with the first open-source Integrated Research Environment (IRE): https://t.co/ARFNha036x
@Xudong07452910 Agents are great at SUPPORTING brainstorms and SPEEDING UP boilerplate tasks in research. They will never be fully autonomous. We built the first Integrated Research Environment (IRE) with this philosophy. It's fully open-source. You should try it: https://t.co/ARFNha036x
Today, our core features are:
1. Persistent memory: context is injected into AI sessions so you never start over.
2. Resource ingestion: agents ingest any link/file and summarize relevance to your project.
3. Async experiments: agent launch runs; IRE resumes when logs are ready.
We are launching IRE: the first open-source, local-first Integrated Research Environment.
Why? AI is getting good at helping researchers brainstorm and execute, but maintaining context over hours or days is still an open problem.
We want to solve it. Link below 👇
IRE is a native Rust and Tauri desktop app that wraps major AI agent providers.
Your workspace is stored locally as a single JSON file + Git-tracked markdown wiki.
Nothing leaves your machine except what you explicitly send to your AI provider.