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fifony

0.1.26-next.f3fade3
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  • License Apache-2.0

Filesystem-backed local orchestrator with a TypeScript CLI, MCP mode, and multi-agent Codex or Claude workflows.

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    Readme

    fifony

    AI agents that actually ship code. You just watch.

    Point at a repo. Open the dashboard. AI plans, builds, and reviews — you approve and merge.

    License Node


    Quick Start

    npx -y fifony

    Open http://localhost:4000. The first run launches the onboarding wizard — it detects your CLIs, scans your project, and configures everything in six steps. State lives in .fifony/. No accounts, no cloud, no external database.


    How It Works

    fifony auto-detects your installed CLI tools (Claude, Codex, Gemini) and routes each pipeline stage to the best available provider. Configure per-stage provider, model, and reasoning effort in the Settings UI or drop a WORKFLOW.md in your project root.

    Issue Lifecycle

    stateDiagram-v2
        [*] --> Planning
        Planning --> Planned: PLANNED
        Planned --> Queued: QUEUE
        Queued --> Running: RUN
        Running --> Reviewing: REVIEW
        Reviewing --> Reviewed: REVIEWED
        Reviewed --> Done: DONE
        Done --> Merged: MERGE
    
        Running --> Blocked: BLOCK
        Reviewing --> Blocked: BLOCK
        Blocked --> Queued: UNBLOCK
        Blocked --> Planning: REPLAN
    
        Reviewed --> Queued: REQUEUE (rework)
        Reviewed --> Planning: REPLAN
    
        Done --> Planning: REOPEN
        Merged --> Planning: REOPEN
    
        Planning --> Cancelled: CANCEL
        Planned --> Cancelled: CANCEL
        Reviewed --> Cancelled: CANCEL
        Blocked --> Cancelled: CANCEL
        Cancelled --> Planning: REOPEN
    
        Merged --> [*]
        Cancelled --> [*]
    Step What happens
    Create Describe what you want done.
    Plan The planner agent generates a structured execution plan: phases, steps, target files, complexity, risks.
    Approve You review the plan. Optionally refine it with AI chat before approving.
    Execute Agents run in an isolated git worktree. Live output streams to the dashboard.
    Review The reviewer agent inspects the diff and either approves, requests rework, or blocks.
    Done Approved and waiting for merge. You review the diff in the dashboard.
    Merge You merge the worktree into your project. Analytics capture lines added/removed.

    Agents run as detached child processes, tracked by PID. If the server restarts mid-run, fifony recovers on the next boot.


    Onboarding Wizard

    The first run walks you through six steps:

    Step What happens
    CLI Detection Finds claude, codex, gemini, git, node, docker, and other tools on your system
    Project Scan Detects language, stack, and build system — 18+ ecosystems supported
    AI Analysis Uses the detected CLI to extract domain context from your codebase
    Domains 21 options across Technical / Industry / Role, pre-selected by the AI
    Agents & Skills Catalog of 15 agents and 5 skills, auto-recommended for your domains
    Effort & Workers Per-stage reasoning effort, worker concurrency, and visual theme

    Settings are saved progressively and can be re-run from Settings at any time.


    Dashboard

    Route What you see
    /kanban Drag-and-drop board with 5 columns: Planning, In Progress, Reviewing, Blocked, Done.
    /issues Searchable list with multi-state filters, sort options, and capability filters.
    /agents Live cockpit: worker slots, queue depth, real-time log tail, token sparklines per agent.
    /analytics Token usage trends, daily and weekly rollups, top issues by cost, per-model breakdown.
    /settings General, Workflow pipeline config, Notifications, Providers.

    The Issue Detail Drawer shows the full plan (phases and steps), all execution sessions, the workspace diff, and a per-phase token breakdown — Plan / Execute / Review — with input and output counts per model.

    PWA

    Install as a desktop app. Works offline. Desktop notifications when issues change state. Service worker with stale-while-revalidate caching.


    Agent & Skill Catalog

    fifony ships with 15 specialist agents:

    Agent Focus
    Frontend Developer React, Vue, CSS, responsive design
    Backend Architect APIs, microservices, scalable systems
    Database Optimizer Schema design, query optimization, indexing
    Security Engineer OWASP, threat modeling, secure code review
    DevOps Automator CI/CD, Docker, Kubernetes, cloud infrastructure
    Mobile App Builder iOS, Android, React Native, Flutter
    AI Engineer ML models, LLM integration, data pipelines
    UI Designer Visual design, component libraries, design systems
    UX Architect UX patterns, accessibility, information architecture
    Code Reviewer Code quality, best practices, constructive feedback
    Technical Writer Docs, READMEs, API references, tutorials
    SRE Reliability, observability, incident response
    Data Engineer ETL, data warehousing, analytics infrastructure
    Software Architect System design, DDD, architectural patterns
    Game Designer Game mechanics, level design, cross-engine

    And 5 skills: commit, review-pr, debug, testing, impeccable (frontend design system).

    Agents install to .claude/agents/ and .codex/agents/ during onboarding. Skills load from SKILL.md files in .claude/skills/, .codex/skills/, or your home directory. fifony infers the right agent from the issue description and target file paths — capability routing is automatic.


    CLI Reference

    # Dashboard + API (default port 4000)
    npx -y fifony
    
    # Custom port
    npx -y fifony --port 8080
    
    # With Vite HMR for frontend development
    npx -y fifony --dev
    
    # MCP server (stdio)
    npx -y fifony mcp
    
    # Different workspace
    npx -y fifony --workspace /path/to/repo
    
    # Run one scheduler cycle and exit
    npx -y fifony --once
    
    # Fine-grained control
    npx -y fifony --concurrency 2 --attempts 3 --poll 500
    
    # Onboarding reference repositories
    fifony onboarding list
    fifony onboarding sync
    fifony onboarding sync --repository ring
    fifony onboarding import ring --kind skills
    fifony onboarding import agency-agents --kind agents --overwrite

    MCP Server

    Use fifony as tools inside your editor:

    npx -y fifony mcp --workspace /path/to/repo

    Add to claude_desktop_config.json or VS Code settings:

    {
      "mcpServers": {
        "fifony": {
          "command": "npx",
          "args": ["-y", "fifony", "mcp", "--workspace", "/path/to/repo"]
        }
      }
    }

    Resources: state summary, all issues, workflow config, runtime guide, per-issue detail

    Tools: fifony.status, fifony.list_issues, fifony.create_issue, fifony.update_issue_state, fifony.integration_config

    Prompts: fifony-integrate-client, fifony-plan-issue, fifony-review-workflow


    REST API

    Interactive docs at http://localhost:4000/docs.

    Endpoint Description
    GET /api/state Full runtime state: issues, metrics, config
    POST /api/issues/create Create an issue
    POST /api/issues/enhance AI-enhance title and description
    POST /api/issues/:id/plan Generate execution plan
    POST /api/issues/:id/plan/refine Refine plan with chat feedback
    POST /api/issues/:id/approve Approve plan, start execution
    POST /api/issues/:id/merge Merge workspace to project root
    GET /api/live/:id Live agent output: PID, log tail, elapsed time
    GET /api/diff/:id Git diff of workspace changes
    GET /api/config/workflow Pipeline workflow configuration
    GET /api/analytics/tokens Token usage summary
    GET /api/analytics/hourly Hourly usage buckets (48h retention)
    GET /api/providers Detected providers and availability
    GET /api/catalog/agents Agent catalog, filterable by domain
    POST /api/install/agents Install agents to project
    /ws WebSocket for real-time state updates

    Configuration

    fifony reads a WORKFLOW.md in your project root if present. Front matter configures the pipeline; the Markdown body defines the execution contract. Settings from the UI write to .fifony/s3db/.

    Environment variables (all optional when using the UI or WORKFLOW.md):

    FIFONY_WORKSPACE_ROOT=/path/to/repo
    FIFONY_PERSISTENCE=/path/to/state     # defaults to $FIFONY_WORKSPACE_ROOT
    FIFONY_AGENT_PROVIDER=codex           # codex | claude
    FIFONY_WORKER_CONCURRENCY=2
    FIFONY_MAX_ATTEMPTS=3
    FIFONY_AGENT_MAX_TURNS=4
    FIFONY_LOG_FILE=0                     # set to 1 to also write .fifony/fifony-local.log

    Architecture

    .fifony/
      s3db/           ← durable database (issues, events, sessions, settings)
      source/         ← project snapshot used for workspace seeding
      workspaces/     ← isolated per-issue execution directories (git worktrees)
    • State machine (single source of truth): States, guarded transitions, actions, and triggers are centralized in issue-state-machine.ts. All side effects (events, field mutations, EC tracking) happen in FSM entry actions.
    • Persistence (s3db.js): Issues, events, sessions, and settings are first-class resources. No external DB required.
    • Eventual consistency analytics: EventualConsistencyPlugin tracks linesAdded, linesRemoved, filesChanged, token usage, and event counts with daily cohort rollups.
    • Queue workers: S3QueuePlugin dispatches planning/execution/review jobs to concurrent workers.
    • Agent abstraction: Wraps local CLIs (Claude, Codex, Gemini), not proprietary model logic. Per-stage provider/model/effort configuration.
    • Per-issue isolation: Each issue gets its own git worktree branch. No file conflicts, safe parallel work.
    • Capability routing: Issue labels derived from text and file paths drive automatic provider/agent selection.

    Requirements

    • Node.js 23 or newer
    • At least one of: claude CLI, codex CLI, gemini CLI

    Credits

    fifony is built on the shoulders of:


    License

    Apache License 2.0 — see LICENSE for details.

    This project includes code from OpenAI Codex CLI. See NOTICE for attribution.