controlkeel
Active·★ 10·NOASSERTION·Updated 2026-10-27
ControlKeel acts as an agent control plane, transforming team workflows and domain knowledge into enforceable memory and policies for AI agents. It ensures that AI agent outputs align with intended delivery, mitigating 'unknown unknowns' by validating tasks before they reach production.
#Agent Control Plane#AI Governance#Policy Enforcement#Workflow Automation#LLM Observability#Developer Tooling#Memory Management
01
Features
01Formalize intent and policy for AI agents.
02Validate AI agent output deterministically with findings and reviews.
03Persist all operational evidence, including memory, costs, and task outcomes.
04Continuously improve agent performance through evaluations and regression evidence.
05Provide comprehensive local governance via CLI and project binding.
02
Compatibility
AI Agents
Integration
Verified via docs
Node.js
Runtime
Verified via docs
MacOS
OS
Verified via docs
Linux
OS
Verified via docs
03
Quick start
1
$ npm i -g @aryaminus/controlkeel
2
$ controlkeel setup
3
$ controlkeel attach opencode
04
Use cases
↳Ensure AI agents adhere to team policies and engineering standards.
↳Formalize and enforce company-specific domain knowledge for AI agents.
↳Validate and gate risky AI agent outputs before production deployment.
↳Establish a feedback loop for continuous improvement and evaluation of AI agent performance.
05
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