Doucs91/hivelore
by Various
Policy enforcement layer for AI coding agents — briefing gates, team memory, Git/CI checks
MCP
Doucs91/hivelore
Added 3 Sept 2026
Overview
Policy enforcement layer for AI coding agents. It adds briefing gates, team memory, and Git/CI checks to keep agent behavior aligned with team rules.
Best for
Best for
Teams that want policy guardrails on AI coding agents
Use cases
- Enforce coding policies on AI agents
- Gate agent runs with briefing requirements
- Verify Git and CI status before agent actions
Notes
Policy enforcement layer for AI coding agents. It adds briefing gates, team memory, and Git/CI checks to keep agent behavior aligned with team rules.
1 stars on GitHub. Last updated 2026-09-01. Licensed Apache-2.0.
Use cases
- Enforce coding policies on AI agents
- Gate agent runs with briefing requirements
- Verify Git and CI status before agent actions
Pros
- Adds guardrails to AI coding workflows
- Centralizes team memory and policy
- Integrates checks into existing Git and CI flows
Cons
- Very early stage with minimal adoption
- Limited documentation or community proof
- Requires custom setup for team-specific rules
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Adds guardrails to AI coding workflows
- Centralizes team memory and policy
- Integrates checks into existing Git and CI flows
Cons
- Very early stage with minimal adoption
- Limited documentation or community proof
- Requires custom setup for team-specific rules
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