--- title: "Cork vs Multica: assigning agent work vs keeping it from colliding · Cork" description: "Cork vs Multica: Multica assigns issues to AI coding agents on a shared board. Cork keeps parallel agents from overwriting each other's code." canonical: "https://corkcli.com/blog/cork-vs-multica" last_updated: "2026-11-14" published: "2026-10-03" author: "Kevin Vera" --- # Cork vs Multica: assigning agent work vs keeping it from colliding Cork vs Multica: Multica assigns issues to AI coding agents on a shared board. Cork keeps parallel agents from overwriting each other's code. By Kevin Vera · October 3, 2026 · [Comparisons](https://corkcli.com/blog/c/comparisons) · 7 min read How is Cork different from Multica? Multica is a workspace where you assign issues to AI coding agents the way you would assign them to a teammate, then watch them pick the work up, report progress and hand it back for review. Cork does not assign or run anything: it sits underneath whatever runs your agents and keeps several of them, and the people running them, from overwriting each other on one codebase. The cleanest way to put it: Multica decides who works on what, Cork makes sure the people and agents doing that work do not trip over each other's code. ## Cork vs Multica at a glance | Topic | Cork | Multica (as of October 2026) | |---|---|---| | What it is | A [coordination layer](https://corkcli.com/blog/coordination-layer-ai-coding-agents) for multiple AI coding agents on one codebase | A source-available workspace and task board for human and agent teams | | Where agents run | Where they already run, on your machine | A local daemon on your laptop or a cloud box you control | | Agents covered | Claude Code, Codex, Cursor (hooks), plus any MCP client | 20+ agent CLIs, including Claude Code, Codex, Cursor Agent, GitHub Copilot CLI and OpenCode | | What is shared | Live code changes, signatures, callers, notes anchored to code | Issues, progress, execution logs, reusable skills | | Conflict handling | Write gate, live awareness, [semantic lint](https://corkcli.com/blog/semantic-lint), rebase-test-push landing | Work lands in review; the docs note parallel runs can compete for the same working directory | | Install | `curl -fsSL https://corkcli.com/install.sh \| sh` | Cloud sign-up, desktop app, or self-hosted install script | | Open source | Cork Free runs locally with no account | Source-available (Apache 2.0 with added conditions) | | Pricing | Free (local, and 10 agent hours a month in the cloud); $20 a month per 100 agent hours, pooled | We could not verify published pricing for Multica Cloud | ## What is Multica? Multica describes itself as "a source-available workspace where you assign work to AI coding agents the way you'd assign it to a teammate." Agents show up in the same assignee dropdown as human teammates, pick up issues, stream progress and submit work for review rather than straight to main. Its main pieces, per its GitHub README and website: - **A task board** where issues are assigned to people or agents. - **Your own runtime**: a daemon on your laptop or a cloud box, so code stays on your machine. Multica's site describes managing "local daemons and cloud runtimes" from one panel. - **Skills**: "Turn a solved problem into a playbook every agent reuses." - **Execution logs** that replay every tool call, command and error, timestamped. - **Integrations** with Slack, Feishu/Lark, DingTalk and Telegram, plus web, desktop and mobile apps. - **Broad agent support**: the website says 20+ AI coding tools, including Claude Code, Codex, Cursor Agent and GitHub Copilot CLI. You can use Multica Cloud or self-host with Docker Compose or Kubernetes. The license is Apache 2.0 with additional conditions covering hosted services, commercial embedding and branding. ## What is Cork? Cork (corkcli.com, by Lithometric) keeps several AI coding agents, and the people running them, from overwriting each other on one codebase, and hands each agent what the others already learned. It does not run agents or host machines. Your agents (Claude Code, Codex, Cursor) keep running where they already run, and Cork coordinates them through hooks that need no extra model calls, plus an MCP server any MCP client can use. - **Briefing**: when an agent starts or gets a prompt, it receives the exact signatures, callers and recent changes of the code it is about to touch, so it searches less. - **Live awareness**: when another agent renames or re-signatures code yours depends on, your agent hears it on its next step. - **[Write gate](https://corkcli.com/blog/write-gate)**: an edit against code another agent is changing right now is held until your agent has their version. - **Semantic lint**: a teammate's rename or signature change becomes a lint rule your agents are checked against. - **Landing**: `git push` becomes one step that rebases onto teammates' commits, reruns the tests and pushes. - **Agent messaging**, plus MCP tools like `get_symbol`, `blast_radius`, `recap` and `remember`/`recall`. ## Where Multica stands out - **Work management.** It gives agents a place on a real task board, with assignees, statuses and review. Cork has no task board. - **Wide agent coverage.** Multica lists far more agent CLIs than the three Cork hooks into directly. - **Reusable skills.** Turning solved problems into playbooks that every agent can reuse is a genuine team feature. - **Audit trail and reach.** Timestamped execution logs, chat integrations and mobile apps make agent work visible to the whole team. - **Self-hosting.** You can run the whole control plane yourself. ## Where Cork wins - **Agent merge conflicts.** Multica's own runtime docs note that parallel runs compete for "the same working directory all at once." Cork's write gate, live awareness and semantic lint exist exactly for that moment. - **Code-level context.** Multica shares tasks and skills; Cork hands each agent the signatures, callers and recent changes of the code it is about to edit. - **Cross-person awareness.** On the paid plan, agents across teammates' machines see each other's live changes, not just each other's tickets. - **Cheaper runs.** In Cork's published benchmark (12 Claude Code agents at once on one repository, hard tasks), agents with Cork used 53% fewer tokens than the same agents without it. - **No new workflow.** Cork installs with one command and works inside the agents you already use. ## Can you use both? Yes, and it is a natural pairing. Multica decides which agent gets which issue and runs it through its daemon on your machine. If those agents are Claude Code, Codex or Cursor, Cork's hooks run inside them too, so two Multica tasks that touch the same function do not overwrite each other, and each agent starts with a briefing on the code it is about to change. Multica tracks the work; Cork protects the codebase while the work happens. ## Pricing compared **Cork:** Cork Free gives unlimited agents and repos on one machine with no account, and all data stays on the machine. Cloud Free (with an account) covers each account with 10 agent hours a month (30 bonus hours the first month), unlimited repos and agents and a 30-day history window. Beyond that you pay for agent hours, not seats: $20 a month per unit of 100 hours, pooled across the workspace, graduated to $17 (units 11 to 50) and $15 (51 and up), with 15% off a year. Every member is a player, with teammates' machines, meaning-based prompt matching, shared knowledge and 90-day history. Enterprise starts from about 100 units. **Multica:** the site offers a free trial and a "Talk to sales" option, but we could not verify published pricing for Multica Cloud as of October 2026. Self-hosting is available under its source-available license. ## Bottom line Multica is a strong answer to "how do I manage a team of agents like teammates": a board, assignees, skills and logs. It does not try to stop two [parallel AI coding agents](https://corkcli.com/blog/parallel-ai-coding-agents) from editing the same code at the same time. Cork does exactly that, and it does not care what assigned the work. If you run many agents through Multica on one repository, adding Cork underneath is the simplest way to keep them from colliding. ## Frequently asked questions ### Is Cork an alternative to Multica? Not really. Cork is not a task board and does not run agents. It is the coordination layer underneath them, so it complements Multica rather than replacing it. ### Does Multica stop agents from overwriting each other? Multica routes finished work into review rather than straight to main. Its runtime docs note that parallel runs can compete for the same working directory, and we did not find a documented live conflict mechanism. Cork's write gate and live awareness are built for that problem. ### Can multiple Claude Code agents run under Multica and Cork at once? Yes. Multica's daemon runs the Claude Code CLI on your machine, and Cork's hooks work inside Claude Code wherever it runs, so the same agents get both. ### Is Multica open source? It is source-available under Apache 2.0 with additional conditions on hosted services, commercial embedding and branding, as of October 2026. ### Which is better for multiplayer coding agents across a team? For assigning and tracking work, Multica. For keeping teammates' agents aware of each other's live code changes, Cork's paid plan. ## Sources Checked October 2026: - - - - ## Related reading - [Cork vs GitButler: sorting agents' changes, or keeping agents from colliding](https://corkcli.com/blog/cork-vs-gitbutler): Cork vs GitButler for parallel AI coding agents: GitButler sorts each agent's work into branches, Cork keeps agents from overwriting each other's code. - [Cork vs Cursor cloud agents: run agents in VMs, or keep them from colliding](https://corkcli.com/blog/cork-vs-cursor-cloud-agents): Cork vs Cursor cloud agents: Cursor runs agents in isolated cloud VMs that open PRs; Cork keeps parallel agents from overwriting shared code. - [Cork vs Mosaic: shared session memory, or live coordination on the code](https://corkcli.com/blog/cork-vs-mosaic): Cork vs Mosaic: Mosaic syncs AI coding sessions into shared team memory; Cork keeps parallel agents from overwriting each other. How they differ and fit. - [Cork vs Xirp: run many agents, or keep many agents from colliding](https://corkcli.com/blog/cork-vs-xirp): Cork vs Xirp: Spotify's Xirp runs parallel coding agent sessions in worktrees on macOS. Cork coordinates those agents so they stop overwriting each other. [All articles](https://corkcli.com/blog.md) · [Cork in Markdown](https://corkcli.com/index.md) · [llms.txt](https://corkcli.com/llms.txt) This page in HTML: https://corkcli.com/blog/cork-vs-multica