Terminal-based agentic AI coding assistant from Charm that works with many LLM providers, uses LSP and MCP for context, manages per-project sessions, and asks permission before running tools by default.

Open-source infrastructure for securely running AI-generated code in isolated sandboxes that start in milliseconds, with SDKs for Python, TypeScript, and other languages, persistent snapshots, and an optional managed cloud.

Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with Python and JavaScript SDKs, a Code Interpreter package, and self-hosting options.

Open-source, extensible AI agent that goes beyond code suggestions to install, execute, edit, and test with any LLM, available as a desktop app, CLI, and API with 70+ MCP extensions.

Open-source project behind CodeLayer, an IDE for orchestrating AI coding agents built on Claude Code, with keyboard-first workflows, team context engineering, and parallel Claude Code sessions across worktrees and cloud workers.

Open-source platform that runs Claude agents in isolated per-session containers, connects them to messaging channels, keeps per-agent memory and scheduled tasks, and routes credentials through a vault so keys never enter containers.

Open-source framework for building internal coding agents that accept tasks via Slack, Linear, or GitHub, execute code changes in isolated cloud sandboxes, and open draft pull requests automatically.

Lightweight, open-source coding agent from OpenAI that runs in your terminal, edits and runs code locally with configurable sandbox and approval modes, and authenticates with a ChatGPT plan or API key.

Open-source framework from OpenAI for evaluating LLM and agent behavior with reusable eval definitions, grading logic, datasets, and regression workflows.

Open-source configuration framework that enhances Claude Code with slash commands, specialized agents, behavioral modes, and MCP server integrations for a more structured development workflow.

Apache-2.0 platform for programmatically authoring, scheduling, monitoring, and operating workflow DAGs across workers, executors, providers, and task logs.

Apache-2.0 Python framework for building, packaging, serving, containerizing, and deploying AI model inference APIs and multi-model serving systems.

Apache-2.0 Python framework for building production-ready conversational AI apps with chat lifecycles, messages, steps, actions, elements, authentication, persistence, and integrations.

Apache-2.0 Sigstore CLI for signing, verifying, and attesting containers, blobs, binaries, SBOMs, and OCI artifacts with keyless OIDC, KMS keys, Fulcio, Rekor, bundles, and registry storage.

Apache-2.0 data orchestration platform for building, testing, deploying, observing, and automating data assets, jobs, schedules, sensors, and pipelines.

Apache-2.0 dbt engine for transforming warehouse data with SQL models, Jinja, YAML configs, tests, documentation, lineage, metadata, and build artifacts.

MIT-licensed embedded analytical SQL database for local OLAP workloads, data files, notebooks, Python and R clients, extensions, and single-file analytics workflows.

Apache-2.0 code-first toolkit for building, running, evaluating, and deploying AI agents, workflows, tools, sessions, and multi-agent systems.

Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.

Apache-2.0 GX Core Python library for data quality Expectations, validation definitions, checkpoints, Data Docs, metadata stores, and pipeline quality checks.

Apache-2.0 vulnerability scanner from Anchore for container images, filesystems, archives, SBOMs, PURLs, and CPEs, with risk scoring, VEX filtering, and CI-friendly output.

Apache-2.0 library for running raw PyTorch training and inference code across CPU, GPU, TPU, DeepSpeed, FSDP, and mixed-precision environments.

Apache-2.0 library for loading, sharing, streaming, inspecting, and preprocessing AI datasets from the Hugging Face Hub or local files.

Apache-2.0 library for pretrained diffusion model pipelines, schedulers, adapters, optimization, and training workflows for image, video, and audio generation in PyTorch.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Apache-2.0 CNCF-incubating Kubernetes security platform and CLI for scanning clusters, manifests, Helm charts, Kustomize projects, Git repositories, and container images for misconfigurations, compliance gaps, and vulnerabilities.

Apache-2.0 reactive Python notebook stored as pure Python for reproducible experiments, SQL-backed data workflows, script execution, app deployment, and AI-assisted editing.

MIT-licensed DataFrame query engine written in Rust for Python, Rust, Node.js, R, and SQL workflows with lazy execution, streaming, Arrow integration, and file, database, and cloud I/O.

Apache-2.0 Python workflow orchestration framework for resilient data pipelines with flows, tasks, deployments, schedules, retries, caching, workers, work pools, and observability.

Apache-2.0 distributed AI compute engine for scaling Python, ML data processing, training, tuning, reinforcement learning, and model serving workloads.