kagent-dev/kagent
Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 99
- Release rhythm 86
- Longevity 42
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 1
- age_days: 589
- days_rel: 15
- days_push: 7
- n_releases_24m: 162
Adoption not part of the score
3595 stars · 728 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
kagent is a Kubernetes-native framework for building, deploying, and managing AI agents as first-class Kubernetes resources via CRDs. It supports multiple LLM providers, MCP tool servers, agent-to-agent (A2A) communication, and brings GitOps, RBAC, and observability to agentic AI workloads.
Use cases
- run AI agents on kubernetes
- define agents as kubernetes CRDs with gitops
- add MCP tools to AI agents
- troubleshoot kubernetes clusters with AI agents
- automate kubernetes operations with LLM agents
- build multi-agent workflows with A2A communication
- deploy agents with RBAC and observability
- connect agents to OpenAI Anthropic Gemini models
When to choose
- you already run workloads on Kubernetes and want agents managed with the same CRDs, RBAC, and GitOps tooling
- you need multi-LLM and multi-framework support (OpenAI, Anthropic, Gemini, LangGraph, CrewAI, Google ADK) without vendor lock-in
- you want MCP tool integration and agent-to-agent communication out of the box
- you need production-grade observability (OpenTelemetry, Prometheus) and zero-trust security for agent traffic
When to avoid
- you have no Kubernetes cluster or want a simple local-only agent runtime
- you need a lightweight standalone agent script without cluster infrastructure overhead
- your use case is a simple chatbot UI without Kubernetes operations
- you are not prepared to manage Helm charts, CRDs, and cluster add-ons
Facets
framework · maturity active
agent-framework mcp llm-inference chatbot monitoring workflow-automation large-language-models cloud-computing self-hosted go python self-hosted cli kubernetes-native crds gitops a2a declarative-agents cncf-sandbox observability multi-llm ai-agents devops kubernetes docker
10 sources
- readme: https://github.com/kagent-dev/kagent · fetched 2026-08-28 · 8c7e893cb2fd
- homepage: https://kagent.dev · fetched 2026-08-29 · fd396a4c2d35
- site_page: https://kagent.dev/docs/kagent/getting-started/quickstart · fetched 2026-08-29 · b0058ff0e0c6
- site_page: https://kagent.dev/docs/kagent · fetched 2026-08-29 · 5bf43faafcc4
- site_page: https://kagent.dev/docs/kagent/introduction/installation · fetched 2026-08-29 · 8e60d6e199d1
- site_page: https://kagent.dev/docs/kagent/getting-started/first-agent · fetched 2026-08-29 · efc7c153f8a1
- site_page: https://kagent.dev/docs/kagent/getting-started/first-mcp-tool · fetched 2026-08-29 · 0e654805fa1c
- site_page: https://kagent.dev/docs/kagent/introduction/what-is-kagent · fetched 2026-08-29 · eaf736373451
- site_page: https://kagent.dev/docs/kagent/concepts/architecture · fetched 2026-08-29 · 30b56eb351e9
- site_page: https://kagent.dev/docs/kagent/concepts · fetched 2026-08-29 · 9c38355204ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kagent-dev/kagent | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="kagent-dev/kagent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem