AI Topic: Agent Frameworks

AI-powered Kubernetes management IDE that automates cluster operations, investigates incidents, and provides agent-driven workflows for developers and DevOps teams.

Scale AI provides enterprise-grade data labeling, model evaluation, RLHF, and a GenAI Data Engine with API and SDKs to build, fine-tune, and deploy production AI systems.

Durable execution and workflow orchestration platform for building scalable, fault-tolerant serverless and AI agent workflows.

A TypeScript-first AI agent framework and cloud platform for building, orchestrating, and observing production AI agents and workflows.

100-line Python coding agent with CLI/TUI that fixes GitHub issues and automates repo tasks. Model-agnostic via LiteLLM, sandboxable (Docker/Podman/Bubblewrap), with an Inspector to browse trajectories.

API + SDK for adding human-in-the-loop approvals, feedback, and outreach to AI agents across Slack, Email, and more.

Command-line interface for running the Agent TARS multimodal agent locally, with optional Web UI, model providers, and a typed workspace config.

Desktop agent framework that builds GUI applications from natural language prompts using TARS, a multi-agent orchestration system.

eesel AI links to your tools, learns from docs and tickets, and works in your workflow like a teammate.

Flexible workflow automation with visual editor, custom code, and native AI nodes.