Grov is an open-source AI memory system designed specifically for engineering teams working with AI assistants like Claude. It solves the fundamental problem of AI assistants having to re-explore codebases and rediscover patterns in every session, which leads to redundant token usage and slower development cycles.
Key Features
- Reasoning Capture: Grov captures the "why" behind AI decisions, not just code changes, preserving reasoning traces for future reference
- Context Injection: Automatically injects relevant context from past sessions into current AI interactions, reducing exploration time
- Drift Prevention: Monitors AI behavior and corrects when it drifts from established goals, maintaining alignment
- Token Cost Reduction: Slashes token usage by preventing redundant exploration of codebases
- Team Synchronization: Enables collective memory across entire engineering organizations
- Dashboard Interface: Provides searchable interface to explore AI memories with reasoning traces
- CLI Integration: Captures reasoning in real-time through local proxy without workflow changes
How It Works
- Installation: Simple three-command setup (
npm install -g grov,grov init,grov proxy) - Proxy Operation: Runs as a local proxy that captures reasoning from AI sessions
- Context Compounding: Relevant past context gets injected into new sessions automatically
- Alignment Monitoring: Scores AI alignment and injects corrections when needed
Use Cases
- Engineering Teams: Reduce time spent on repetitive AI exploration tasks
- Codebase Maintenance: Preserve institutional knowledge about why specific changes were made
- Onboarding: Help new team members understand past decisions and reasoning
- Cost Optimization: Significantly reduce AI token consumption across organizations
Technical Requirements
- Node.js 18+
- Claude Code v2.0+
- Works with existing workflows through local proxy
Grov is particularly valuable for teams that regularly use AI coding assistants and want to optimize both performance and costs while maintaining consistent reasoning patterns across their organization.
