Skip to content

index

Jump to bottom
wiki[bot] edited this page Aug 8, 2026 · 6 revisions

tripleF (3F) — Technical Wiki

An agentic AI workbench, fully open source, powered by free models — run everything locally or on Ollama Cloud.

Table of Contents

Getting Started

Server

Dashboard

Methodology & Positioning

Business Logic

Navigation

Document Concern Key Sections
0-introduction Mission, feature set, system overview Why 3F, architecture diagram, technology matrix
0.1-quick-start From clone to running stack Prerequisites, environment, first run, verification
0.2-docker Image design, compose topology, install model Root Dockerfile targets, deps service, pnpm regimes, troubleshooting
0.3-documentation Wiki conventions, badge automation Writing docs, depbadge workflow, regenerating badges
1-server Entry point, module graph, configuration stack Request lifecycle, module table, error strategy
1.1-rest Endpoint registry and contracts Harness endpoints, queue/DLQ/storage/sysctl APIs, health
1.2-harness Conversation engine internals Step engine, intents, structured outputs, cancellation
1.3-bullmq Job queues, workers, retries Queue topology, processor pipeline, failure modes
1.4-socketio Real-time streaming Rooms, event contract, cancellation signal
1.5-data PostgreSQL/Prisma, MinIO, KeyDB Models, object layout, image preprocessing
2-dashboard Areas and technology Chat, SysCtl, DLQ, PProc, router — panel map
2.1-architecture Vue 3 component and state architecture Stores, composables, API layer, conventions
2.2-chat The chat experience Exchanges, reasoning areas, streaming UX, conversation controls
2.3-theming Theme system Theme catalogue, harmony model, tokens
3-ai-assisted-development How this project is built Context coding, ownership, quality gates
3.1-market-positioning Where 3F competes Proprietary landscape, local-first advantages, strategy
4-business-logic Feature behaviour and their dependencies Core loop, media contracts, grounding, trust boundary

Clone this wiki locally