Features
Link OpenAI Assistants as tools in a multi-agent system
Abstracts Run object management
Supports GPT-4o and latest Assistants API
Vision support for multi-modal threads
File search via Vector Store API (up to 10,000 files/assistant)
256K character instruction limits per assistant
Up to 128 tools per assistant
Hierarchical expert routing with context preservation
Thread management that avoids locking issues
Tool output control to mitigate the grapevine effect
Open-source with MIT license
Written in JavaScript/Node.js
Integrates with OpenSearch via tool chaining
Stores thread relationship via OpenAI thread metadata
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
