kagent
Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.
Harness by kagent (CNCF)
Chalk Labs
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Setup steps are in the repository. Website · Repository
About
Use cases: containers-kubernetes, agent-orchestration
Reviews
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Fact sheet
- Languages
- Go, PythonREADME
- Multi-agent
- YesREADME
- MCP support
- Built inREADME
- A2A support
- Built inkagent.dev
- Memory
- long-termREADME
- Observability
- OpenTelemetryREADME
- Deploys to
- kubernetesREADME
- Model providers
- openai, azure-openai, anthropic, google, ollamaREADME
- Maturity
- Stablekagent.dev
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
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Signals
- Stars
- 4,087
- Forks
- 855
- Open issues
- 108
- Last commit
- Oct 24, 2026 (7 days ago)
- Last release
- Oct 21, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/kagent-dev/kagent
- Website
- kagent.dev/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
kagent. Agent Mart. https://agentmart.dev/harnesses/kagent (last updated 2026-10-24)