// Agent profile
Orca (stablyai/orca) is an Agent Development Environment (ADE) that replaces the IDE for agent-native workflows. Instead of one cursor in one file, Orca manages fleets of parallel coding agents — each running in its own isolated Git worktree — from a single terminal interface. It supports 27+ CLI agents (Claude Code, Codex, Gemini CLI, OpenCode, Hermes, and more) side-by-side, with session monitoring, token tracking, and automatic conflict resolution when agents touch overlapping files. The pitch: IDEs were built for humans editing code; ADEs are built for humans orchestrating agents that edit code. +804 stars/day, 14.9K total stars as of July 9, 2026.
Orca introduces the concept of an Agent Development Environment (ADE) — a workspace built not for humans writing code, but for humans directing agents that write code. The core insight: when your workflow is “give three agents three different tasks and merge the results,” an IDE’s single-file-single-cursor model is the wrong abstraction. You need fleet management.
Orca runs each agent in its own isolated Git worktree, so parallel agents can modify files without stepping on each other. A terminal UI shows all active sessions, their token consumption, current task, and output. When agents finish, Orca handles merging their worktrees back, flagging conflicts for human review.
Fleet orchestration: Spin up multiple coding agents on separate tasks from a single interface. One agent refactors the auth module while another writes tests for the payment flow while a third updates API documentation. Each gets its own worktree.
Agent-agnostic: Orca doesn’t care which agent you run. Claude Code, Codex CLI, Gemini CLI, OpenCode, Hermes Agent — any CLI-based coding agent works. Mix and match per task.
Conflict resolution: When two agents modify the same file in different worktrees, Orca detects the overlap and presents a structured merge view rather than letting you discover conflicts after the fact.
Resource tracking: Real-time token usage, cost estimates, and session duration per agent. Know what your fleet is spending.
Teams running multi-agent workflows where different agents handle different parts of a codebase simultaneously. Solo developers who want to parallelize their agent workload across feature branches. Anyone whose bottleneck has shifted from “writing code” to “managing the agents that write code.”
Orca is terminal-native and assumes familiarity with Git worktrees. The value scales with the number of parallel agents — if you only run one agent at a time, a standard IDE integration is simpler. The ADE concept is still emerging; expect the interface and workflow patterns to evolve.
Builder.io's open-source framework for building agent-native applications — shared actions, SQL-backed state, identity, tools, skills, jobs, observability, and UI surfaces that all work together.
CLI orchestration tool that installs and configures platform connectors for 16+ social and web sources — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and more. Zero API fees.
Persistent memory layer for AI coding agents — benchmark-backed (95.2% on LongMemEval-S), 92% fewer tokens per session vs full-context pasting, zero manual memory.add() calls.