3c5a3b5e6a
Upgrade /my-issues from a simple accordion to a full-featured view matching /issues — kanban board, list view, status/priority filtering, sorting, and display settings, scoped to the user's own issues. Key changes: - Extract view store factory (createIssueViewStore) using zustand v5 vanilla createStore + React Context for shared component reuse - Create ViewStoreProvider + useViewStore/useViewStoreApi hooks - Decouple BoardView, BoardColumn, BoardCard, ListView from global useIssueViewStore — they now read from context - New independent persisted store for /my-issues (multica_my_issues_view) - Simplified MyIssuesHeader (no assignee/creator filters) - Pre-filter logic: assigned to me ∪ my agents ∪ created by me - Generalize workspace sync to clear filters on all registered stores - Fix existing debt: text-[10px] → text-xs, w-44 → w-auto, reduce unnecessary selector subscriptions in both headers Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| .github/workflows | ||
| apps/web | ||
| e2e | ||
| scripts | ||
| server | ||
| .env.example | ||
| .eslintcache | ||
| .gitignore | ||
| .goreleaser.yml | ||
| .npmrc | ||
| AGENTS.md | ||
| CLAUDE.md | ||
| CLI_AND_DAEMON.md | ||
| CONTRIBUTING.md | ||
| docker-compose.yml | ||
| Dockerfile | ||
| LICENSE | ||
| Makefile | ||
| package.json | ||
| playwright.config.ts | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| README.md | ||
| SELF_HOSTING.md | ||
| skills-lock.json | ||
Multica
AI-native project management — like Linear, but with AI agents as first-class team members.
Multica lets you manage tasks and collaborate with AI agents the same way you work with human teammates. Agents can be assigned issues, post comments, update statuses, and execute work autonomously on your local machine.
Features
- AI agents as teammates — assign issues to agents, mention them in comments, and let them do the work
- Local agent runtime — agents run on your machine using Claude Code or Codex, with full access to your codebase
- Real-time collaboration — WebSocket-powered live updates across the board
- Multi-workspace — organize work across teams with workspace-level isolation
- Familiar UX — if you've used Linear, you'll feel right at home
Getting Started
Use Multica Cloud
The fastest way to get started: multica.ai
Self-Host
Run Multica on your own infrastructure. See the Self-Hosting Guide for full instructions.
Quick start with Docker:
git clone https://github.com/multica-ai/multica.git
cd multica
cp .env.example .env
# Edit .env — at minimum, change JWT_SECRET
# Start PostgreSQL
docker compose up -d
# Build and run the backend
cd server && go run ./cmd/migrate up && cd ..
make start
CLI
The multica CLI connects your local machine to Multica — authenticate, manage workspaces, and run the agent daemon.
# Install
brew tap multica-ai/tap
brew install multica-cli
# Authenticate and start
multica login
multica daemon start
The daemon auto-detects available agent CLIs (claude, codex) on your PATH. When an agent is assigned a task, the daemon creates an isolated environment, runs the agent, and reports results back.
See the CLI and Daemon Guide for the full command reference, daemon configuration, and advanced usage.
Architecture
┌──────────────┐ ┌──────────────┐ ┌──────────────────┐
│ Next.js │────>│ Go Backend │────>│ PostgreSQL │
│ Frontend │<────│ (Chi + WS) │<────│ (pgvector) │
└──────────────┘ └──────┬───────┘ └──────────────────┘
│
┌──────┴───────┐
│ Agent Daemon │ (runs on your machine)
│ Claude / Codex│
└──────────────┘
- Frontend: Next.js 16 (App Router)
- Backend: Go (Chi router, sqlc, gorilla/websocket)
- Database: PostgreSQL 17 with pgvector
- Agent Runtime: Local daemon executing Claude Code or Codex
Development
For contributors working on the Multica codebase, see the Contributing Guide.
Prerequisites
Quick Start
pnpm install
cp .env.example .env
make setup
make start
See CONTRIBUTING.md for the full development workflow, worktree support, testing, and troubleshooting.
License
See LICENSE for details.