Context intelligence for coding agents.
A local-first MCP engine that helps Cursor, Claude Code, and Codex understand your application before they edit it.
AI tools for secure engineering
Build with AI agents.
Ship with confidence.
Horizon Labs builds local-first developer tools that help teams adopt agentic workflows without sacrificing security, evidence, or control.
Products
Four tools. One evidence-first stack.
Our products share a common philosophy: deterministic context first, optional AI enrichment, and security controls in the workflow rather than as an afterthought.
Minimum authorization, with evidence.
Local-first least-privilege analysis that derives evidence-backed cloud permissions from Infrastructure-as-Code and application context.
Turn a finding into a controlled outcome.
Agentic remediation for container and library exposure—policy-governed rebuild, validation, signing, and release with an audit trail from finding to outcome.
Give the agent a result—not a standing credential.
Runtime authorization that lets an agent perform a specific operation without receiving the destination credential.
How we build
Security posture as a first-class constraint.
Every Horizon Labs product is designed for engineering teams that care about evidence and control as much as velocity.
Local-first by default
Your code, context, and runtime stay in your environment. Cloud calls are optional and explicit.
Deterministic before generative
Indexed evidence is the source of truth. AI enrichment is advisory and provenance-aware.
Security in the workflow
Signed releases, gated distribution, and agent hooks that encourage context-first, least-privilege work.
Contact
Questions about beta access, early products, or partnerships?
CORA is in public beta. MIRA, VERA, and KIRA are in active development. If you work on security, platform, or agentic engineering, write to us.