inkeep/agents

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1390 stars · 167 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Inkeep Agents is an open-source platform for building AI chat assistants and multi-agent workflows using either a no-code drag-and-drop Visual Builder or a TypeScript SDK, with full two-way sync between the two. It includes a REST API for agent configuration and execution, MCP tool integration with credential management, observability via OpenTelemetry and a Traces UI, and deployment via Vercel or Docker.

Use cases

• build a customer support chatbot for docs and help centers without writing code
• create multi-agent AI workflows with a TypeScript SDK and version control
• let non-technical teammates edit agents built by engineers in a visual canvas
• connect agents to external tools and APIs via MCP servers
• automate repetitive tasks like triaging helpdesk tickets or updating CRMs
• self-host an AI assistant platform with Docker and OpenTelemetry observability
• trigger agents programmatically via chat API, MCP, or A2A protocols

When to choose

• you need both no-code editing for business teams and code-first SDK workflows for engineers on the same agents
• you want to build customer-facing chat assistants or internal copilots with multi-agent architectures
• your tools and integrations are exposed via MCP servers and you need credential management
• you want self-hosted deployment on Vercel or Docker with OpenTelemetry tracing
• you need to trigger agents via APIs, webhooks, Slack, or agent-to-agent protocols

When to avoid

• you only need a lightweight agent library without a visual builder or hosted management UI
• you need a managed RAG/search platform with enterprise support out of the box (that requires the paid Enterprise tier)
• your stack is Python-first and you want a Python agent SDK rather than TypeScript
• you need a simple single-agent script with no platform, API, or UI overhead

Facets

framework · maturity active

agent-framework mcp chatbot workflow-automation web-framework api-framework chat-interface monitoring self-hosted developer-tools artificial-intelligence large-language-models chatbots developer-tools self-hosted web-development self-hosted cloud no-code low-code visual-builder multi-agent two-way-sync mcp-server a2a vercel-ai-sdk opentelemetry traces-ui sub-agents agent-credentials chat-components slack-integration customer-support helpdesk-automation crm-automation knowledge-base typescript-sdk agent2agent ai-agents automation typescript nodejs docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="inkeep/agents")