Awesome AI AgentsLow-Code/No-Code Platforms

inkeep/agents

⭐ 1425 TypeScript repository created 2025-09-05

Inkeep Agents is a platform for building AI agents that can be authored either in a no-code visual builder or in a TypeScript SDK, with full two-way synchronisation between the two representations so that technical and non-technical teams can edit the same agents. The visual builder is a drag-and-drop canvas aimed at teams that want to own their own agents without writing code. The SDK is code-first and provides agent and subAgent constructors with typing and editor completion, where a subagent declares an id, name, description, prompt and the tools it can use, and a top-level agent names its default subagent and the subagents it composes, which gives a multi-agent architecture for teams of agents. The platform is split into several services and libraries. The agents-api service exposes a REST API for configuring agents, subagents, MCP servers, credentials and projects, executes and evaluates agents, tracks conversation state and emits OpenTelemetry traces. The agents-manage-ui service is the visual builder web interface writing to that API. The agents-cli provides push and pull commands that synchronise SDK code with the builder. The agents-ui package is a component library of chat interfaces for embedding conversational experiences in web applications. Under the hood the framework uses the Vercel AI SDK to talk to LLM providers, so it is compatible with the useChat hook and related primitives, and agents can be triggered over MCP, A2A and Vercel SDK APIs. MCP tools come with credential management, and traces are viewable in a dedicated UI. Deployment targets are Vercel or Docker for self-hosting, with a managed cloud offering separate. Typical uses are customer-facing and internal chat assistants and workflow automation such as updating knowledge bases or triaging tickets. The code is under the Elastic License 2.0 with supplemental terms.

https://github.com/inkeep/agents

multi-agenttypescriptno-codemcpobservability

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