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yaalalabs / agent-kernel

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

Why this job: topics: a2a, langgraph, crewai, ai-agents

What it does

  • Guardrails. OpenAI and AWS Bedrock guardrails for PII detection, jailbreak prevention, content moderation.
  • Pre/Post Execution Hooks. Inject policy checks, RAG context, redaction, or moderation around every agent call.
  • Framework-Native Run Options. Pass each framework's own run arguments and lifecycle hooks (OpenAI RunHooks and RunConfig, LangGraph callbacks, ADK plugins, Pydantic AI usage limits, Microsoft Agent Framework options) per agent through Modul
  • Full Traceability. Every agent action, tool call, and LLM invocation logged with configurable verbosity.
  • Observability. LangFuse, OpenLLMetry, Pydantic Logfire, and AWS CloudWatch tracing with a single config line.

Get started

uv init --python 3.12 my-agent
cd my-agent
uv add agentkernel
Maintenance
Active
Last commit today
Stars
192
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.9.5
Released 31 days ago
Built with
Python
91% of the code

Is it looked after?

Contributors
8
Last 90 days
Issues
70% closed
113 still open
Pull requests
449 merged
14 waiting
Releases
30
26 in the last year

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More: languages, topics and project record

Languages

  • Python 91%
  • HCL 8%
  • Shell <1%
  • Go Template <1%

Topics

  • a2a
  • adk
  • ai-agents
  • aws
  • azure
  • cloud-native
  • crewai
  • enterprise
  • guardrails
  • langgraph
  • mcp
  • multi-cloud

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits635
  • Forks88
  • Watching4
  • Stars in 28 days+3
  • CreatedJul 18, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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