Features
Intercepts tool output before LLM context
Reduces context consumption up to 98%
Local FTS5 SQLite store for raw data
Agent retrieves data via on-demand search
Works with 17 AI adapters
Privacy-first: no source code or prompt content leaves machine
Opt-in cloud forwarding for team analytics
Token spend tracking per developer/team
Error count and decision metadata capture
Session memory persistence across turns
Supports Claude Code, Cursor, Copilot, Codex, Gemini CLI
Open-source (ELv2) plugin free for all
Platform provides org dashboard (Insight)
Upcoming: long-term memory (Memory), SOC2 audit trail (Audit), cost analytics (Cost)
331,200+ developer community
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
