Sokudo vs Orca
Both run coding agents in separate worktrees. Sokudo adds a built-in Wiki Engine, shared knowledge base, rules, and memory, plus a harness that learns from completed delegated runs and proposes rules for your approval.
Reviewed · Published by Sokudo · Sources and scope
Pick Sokudo
When the agents need a team, a board, and a memory.
Run implementation agents in their own worktrees, with custom personas, ticket dependencies, and a reviewer. Give them shared project context through the Wiki Engine, knowledge base, rules, and memory. Save lessons from delegated runs to the knowledge base and propose rules for your approval. Design on the canvas and query the database beside the code.
Pick Orca
Parallel worktrees, with agent-owned context files.
Like Sokudo, Orca runs coding agents in separate worktrees. Its docs leave project memory to agent-owned instruction files such as CLAUDE.md and AGENTS.md; they do not describe a built-in codebase wiki or a managed knowledge base and rules store.
Where Sokudo pulls ahead.
Both run agents side by side with a terminal, a browser, and remote machines. The difference is what surrounds the work. Here is what each product describes.
| Criterion | Sokudo | Orca |
|---|---|---|
| What you get | An IDE with agents, design, data, and browser tools in one workspace. | An open-source agent development environment that runs coding agents in parallel worktrees. [2] |
| Orchestration | Delegate tickets across providers, with implementation agents in their own worktrees and a reviewer. | An experimental orchestration layer: a coordinator creates tasks with dependencies and starts worker agents in their own worktrees. [6] |
| Personas | Custom agent roles, instructions, and model choices. | Launches any CLI agent with its own default arguments and environment. Named personas or roles are not described. [5] |
| Work tracking | Kanban tickets, dependencies, and worker review in the IDE. | GitHub, Linear, and Jira issues in a task drawer, with list or board layouts and a worktree per issue. [7] |
| Wiki Engine | Citation-backed Pages and an interactive Graph of your codebase, read by you and your agents. | A generated codebase wiki is not described in Orca’s docs. [4] |
| Project context | A workspace knowledge base, rules, and memory that agents draw on in later sessions. | Runs each repo’s existing agent hooks and leaves CLAUDE.md and AGENTS.md to the agent, editable in the file explorer. An Orca-managed knowledge base, rules, or memory store is not described. [9] |
| Self-improving harness | Finished runs can save learnings to the knowledge base and propose rules that wait for your approval. | A post-run learning loop is not described in Orca’s docs or changelog. [10] |
| Design canvas | Design screens and hand the canvas to agents in the same workspace. | Design Mode sends elements you click on the running page to an agent, with their HTML, styles, and a screenshot. [11] |
| Database | Inspect schemas and query data in the database manager. | Plugins add database tools, including an official SQLite Browser and community clients. [12] |
| Remote work | Remote SSH sessions and commands alongside the workspace. | SSH hosts, self-hosted Orca servers, and experimental per-workspace cloud VMs. [13] |
| Browser | An in-app browser with extension support for previews and wallet flows. | A Chromium browser per worktree that agents can drive. Chrome extensions are experimental. [14] |
“Not described” means the cited Orca pages do not document an equivalent feature; it does not prove the feature is impossible. “Experimental” is Orca’s own label. Sokudo capabilities: [1].
Open Sokudo when the job is bigger than a worktree.
Choose Sokudo if
- You delegate to named agents with distinct roles, instructions, and models.
- You want tickets, dependencies, implementation, and review on one Kanban board.
- You want every agent to start from a shared codebase wiki, knowledge base, rules, and memory.
- You want finished runs to save learnings and propose rules for you to approve.
- You want a design canvas and a database manager built into the IDE.
- You use SSH and want app previews and compatible browser extensions beside the code.
Choose Orca if
- You want to run many different CLI agents in parallel, each in its own worktree.
- You want MIT-licensed source you can inspect and modify.
- You want a mobile companion to answer agents from your phone.
- You work from GitHub, Linear, or Jira issues and review with line-anchored diff comments.
- You want to extend the app from a plugin catalog.
What you actually get.
Straight answers about Sokudo and Orca.
What is the difference between Sokudo and Orca?
Both run coding agents side by side, with a terminal, an in-app browser, and remote work over SSH. Orca focuses on running many CLI agents in parallel worktrees, with line-by-line diff review, GitHub, Linear, and Jira issues, a mobile companion, and plugins. Sokudo builds the workplace around the agents: custom personas, a Kanban board with review, a Wiki Engine, a knowledge base, rules, and memory, a design canvas, and a database manager.
Can both tools orchestrate agents?
Yes. Orca runs agents in parallel worktrees, and its experimental orchestration layer lets a coordinator start worker agents and track their tasks from the CLI. Sokudo delegates tickets to a roster of agents with roles, instructions, and models, and keeps implementation and review as separate steps on the board.
What is the Sokudo Wiki Engine?
The Wiki Engine maps your project into citation-backed Pages and an interactive Graph of files, dependencies, and modules. You use it to understand the architecture and how modules fit together. Your agents can search and read the same pages, so people and agents work from one shared guide to the codebase.
How does Sokudo keep project context for agents?
Each Sokudo workspace has three context stores. The knowledge base holds reference material such as architecture notes and conventions. Rules hold the instructions agents should follow. Memory holds durable decisions, preferences, and gotchas, found by meaning rather than keywords. Agents draw on all three in later sessions. Orca runs each repo’s existing agent hooks and lets you edit the agents’ own CLAUDE.md and AGENTS.md files; its docs do not describe an Orca-managed knowledge base, rules, or memory store.
How does self-improvement work in Sokudo?
When self-improvement is on for a workspace, Sokudo reviews each delegated run after its agents finish. When a run produces something worth keeping, Sokudo saves it to the knowledge base or proposes a rule, and marks the entry as written by an agent. A proposed rule does not take effect until you approve it, and you can turn the feature off for any workspace. It changes the context your agents receive; it does not retrain any model.
Does Orca have design tools?
Yes. Orca’s Design Mode lets you click an element on the running page and send its HTML, styles, and a screenshot to an agent, and plugins add editors such as Excalidraw. Sokudo’s design canvas is for designing and iterating on screens inside the IDE, then handing the design to agents to build.
Where do databases fit in each tool?
Sokudo’s database manager is built in: connect PostgreSQL, MySQL, SQLite, MongoDB, Redis, ClickHouse, and more, inspect schemas, and ask agents to prepare queries, then review proposed changes before they are committed. In Orca, database tools come from plugins, such as the official SQLite Browser and community clients.
When should I choose Orca?
Choose Orca when you want to run many CLI agents in parallel worktrees, inspect or modify MIT-licensed source, answer agents from a phone, or extend the app with plugins. Choose Sokudo when you want named agents, tickets with review, shared project knowledge, a design canvas, and a database manager in one workplace.
The workplace, not the window.
Give each agent a persona. Keep the board, the canvas, the database, the remote machine, and the browser in Sokudo.