Agent builders

Open-source drag-and-drop UI for building LLM agents and RAG workflows. Wraps LangChain and LlamaIndex primitives as visual nodes so multi-agent flows, single-agent chatbots with RAG, and chat assistants can be composed by non-programmers. 100+ LLM providers, vector databases, and embeddings supported. Cloud or on-prem; embed via widget, API, or SDK. The OSS reference point for the visual-builder pattern outside vendor platforms.

Open-source visual programming environment for building, debugging and deploying LLM-powered agents. Node-graph editor; graphs stored as YAML so they version and review like code. Ships with its own remote executor allowing real-time observation of agent execution from inside the host application. Built by Ironclad and used to power their Contract AI assistant. Embed into Node.js or TypeScript apps via the Rivet SDK — the code-adjacent visual builder for engineering teams that want the diagram but not the vendor lock-in.

Drag-and-drop visual canvas for building multi-step agent workflows. Typed inputs and outputs on every node, live-data preview during authoring, templates for common patterns. Exports Agents SDK code for self-hosting or embeds via ChatKit. OpenAI has announced deprecation on 2026-11-30 and is steering new work to ChatKit (the embed surface) plus the Agents SDK (the code path) instead of the canvas — a notable step back from visual authoring by a top-tier vendor while Microsoft, Google, Palantir and Salesforce lean further in.

Graphical low-code builder for agents and agent flows. Compose topics (branching conversation threads), knowledge sources, tools and triggers via a visual designer; layer NLU on top so the agent maps free-text intents to the right topic. Two flow formats: classic agent flows (Power Automate style) and the new workflows (revamped visual designer with improved testing). Prebuilt and custom connectors reach enterprise data. Publish to Teams, web, mobile, or any channel supported by Azure Bot Service; also usable as a Microsoft 365 Copilot extension.

Visual low-code interface for constructing agents that are anchored in Palantir's Ontology. Developers and analysts specify prompts, bind the agent's allowed Action Types and Object Types, and expose the agent through the Agent Engine SDK. Agents can be composed into fleets via Mindkit and re-exposed to external frameworks (Google ADK, Microsoft Agent Framework, Claude Desktop) through Ontology MCP — same governance guardrails inside and outside the Palantir perimeter.

Enterprise agent platform for building, deploying, governing and optimising production agents. Combines the Agent Development Kit (ADK, the open-source code-first framework), Conversational Agents (formerly Dialogflow, for conversational surfaces), Vertex AI Search (grounding), and access to 200+ Google and third-party models. Rebranded from Vertex AI Agent Builder in 2026 under the Gemini Enterprise umbrella. Hybrid: low-code Conversational Agents alongside code-first ADK, so the same team can move between visual authoring and programmatic control.