Features
Captures AI prompts, reasoning, and discussions
Links AI sessions to Git commits for traceability
Injects structured repository context (architecture, patterns, constraints)
Enforces architectural constraints on AI-generated code
Local-first: runs offline, data stored in repository
Works with Claude Code, Cursor, Codex, Gemini, Copilot, OpenCode
Semantic model built continuously via AST analysis
Commit-aware context retrieval to reduce token consumption
Faster onboarding for new team members
Open-source CLI tool (Apache 2.0)
Repository-scoped context
Supports constraint enforcement (coming soon)
Agent-agnostic: works with multiple agents simultaneously
Auto-detects and connects AI assistants via 'bitloops init'
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
