“Code generation”

Python command-line pairing agent for ML engineers that builds baselines, works Kaggle-style tasks and writes weekly reports.

Open-source end-to-end general multi-agent product that answers queries and produces reports, slides and code.

Open-source self-evolving general AI agent with a Docker sandbox that can run fully local on Ollama or vLLM models.

Open-source platform where you configure multi-agent systems and workflows without writing code

Open-source super agent harness that runs sub-agents, memory, sandboxes and skills for research, coding and content tasks lasting minutes to hours.

Retrieval augmented generation package that answers questions from scientific papers and documents with citations.

Self-hosted multi-agent web interface with code execution, web search, image generation and deep research under one command center.

Sakana AI framework for automated research where LLMs generate ideas, run experiments and write papers.

Personal research assistant for scientific work, built on LangChain DeepAgents with an isolated Docker sandbox.

Desktop AI agent that runs on your machine, edits project files and runs commands, and produces Word, Excel, PowerPoint and PDF files.

General-purpose agent that builds apps, writes reports, creates presentations and connects to your other systems.