synaplan README

The project's README from github.com/metadist/synaplan. As one markdown file: README.md.

Synaplan — We produce AI freedom

We produce AI freedom.

Try it hosted or run it yourself in three minutes — open-source, self-hosted AI platform (PHP/Symfony): chat with any model, RAG over your docs, embeddable widget, MCP, and see the cost of every answer. Apache-2.0. On web.synaplan.com you sign up with a paid plan or an invitation code. We send invitation codes to friends and partners who want to try it; write to [email protected]. Running it yourself stays free.

Website  ·  Docs  ·  Live instance  ·  iOS  ·  Android  ·  Desktop  ·  Outlook Add-in  ·  Discord

License GitHub stars Docker Download on the App Store Get it on Google Play Discord API Docs


If Synaplan is useful to you, a star helps the next person find it.

A thirty-second tour of Synaplan: a chat answer and its cost, default models with cost badges, the file library, generated images and audio, and connected apps

Chat, what each answer cost, your files, generated media, and the apps you can connect. About 30 seconds.

Quickstart

git clone https://github.com/metadist/synaplan.git
cd synaplan
make up

Open http://localhost:5173. Log in as [email protected] / admin123 and type your first message: it starts the Synaplan Demo (40 messages/day for 14 days, no API key needed — how it works). Or connect your own AI key (free: Groq) or local Ollama.

A published image, a Docker GUI, a closed network, or a Linux server: More ways to install.

How it compares

People usually arrive comparing Synaplan with a chat window or an app builder. This is what each project is for. It is not a scoreboard.

Synaplan Open WebUI LibreChat Dify
What it is A team platform: chat, your files as knowledge, a site widget, and the same assistant on WhatsApp and email A chat interface for local and cloud models A chat app for many providers A builder for AI apps and workflows
First run Several containers, about 4 GB One container A Compose stack A Compose stack, and a hosted cloud
Cost of an answer Shown on the answer Not on the answer Not on the answer In the builder's usage logs, not on the chat answer
Same assistant on your site, WhatsApp and email Yes No No Site widget yes. WhatsApp and email are not built in

If you only want a chat window, Open WebUI or LibreChat gets you there faster.


Why Synaplan


Take the tour

A tour through Synaplan: chat with live cost tracking, one-key provider setup, per-task model choice, document search, media generation, the embeddable chat widget and white-label branding

▶ Watch the full demo on YouTube

Click any screenshot to see it full size.

Chat with per-model cost tracking
Chat
Every answer shows what it cost
AI provider setup with live key validation
Provider setup
One key, tested and encrypted
Per-task model selection with cost badges
Model choice
A different model per task
Semantic search across uploaded documents
RAG search
Semantic search over your files
Gallery of AI-generated images and video
Media generation
Images, video and audio in chat
Embed code for the chat widget
Chat widget
One snippet, any website
System prompt editor
AI instructions
Your own system prompts
File manager with folders and storage quota
Files
Uploads become knowledge
Plugin view showing Synaform collections
Plugins
Extend without forking
Admin panel with system info and user counts
Admin
Users, usage and health
White-label branding settings
Branding
White-label the whole app

Regenerate these assets after a UI change with scripts/build-readme-tour.sh.


More ways to install

The quickstart is a local checkout. The variants below are a published image, a machine with no route to the public internet, and a Linux server.

On this machine

The quickstart is this path. Open http://localhost:5173. A status screen is up within seconds and lists every boot step, then switches to the app when it is ready. First start: 5–15 minutes. Later starts: seconds.

make up answers on :5173 before the rest of the images finish pulling. docker compose up -d starts the same stack; :5173 stays quiet until those pulls finish.

  1. Log in as [email protected] / admin123. The status screen shows this too.
  2. Type your first chat message: it starts the Synaplan Demo (14 days, 40 messages a day via web.synaplan.com). Or paste one provider key (free: Groq). You do not edit a config file for that.
  3. Same notes in the terminal: docker compose logs -f startup-notes.

No cloud key? COMPOSE_PROFILES=local-ai ENABLE_LOCAL_GPT_OSS=true make up pulls a local chat model (gpt-oss:20b, ~14 GB). Chat starts when the download finishes.

Published image, no git checkout

One file is enough. A .env beside it is optional.

mkdir synaplan && cd synaplan
curl -fsSL -o compose.yaml https://raw.githubusercontent.com/metadist/synaplan/main/deploy/quickstart/compose.yaml
docker compose up -d

Open http://127.0.0.1:8000. The first visit opens the setup: create the administrator, then click Start with Synaplan Demo or paste one provider key (free: Groq), done. The first start pulls the images and takes a few minutes.

Need a smaller footprint (~3.2 GB instead of ~5.3 GB)? deploy/quickstart/compose.lite.yaml omits tts, qdrant (document search stays on MariaDB VECTOR; memories pause) and centrifugo while keeping the exact same volume names — so you can switch to compose.yaml later without losing a single chat or file.

Docker GUI (Portainer, Dockge, Synology Container Manager, …): create a stack, paste deploy/quickstart/compose.yaml as its compose file, deploy. Any setting from deploy/quickstart/.env.example goes into the stack's environment variables — nothing is required. When the GUI runs on another machine (a NAS or a server), add SYNAPLAN_HTTP_BIND=0.0.0.0 and SYNAPLAN_URL=http://<that machine's IP>:8000; without them Synaplan only opens on that machine itself. Dockge marks the stack "exited" once the one-time secrets-init step has finished; that is expected, and Synaplan keeps running.

Settings go into .env, then docker compose up -d again (in a GUI: the stack's variables, then redeploy):

Data lives in named Docker volumes — the database, uploads, vectors and the generated secrets. Keep them together: a database without its secrets volume does not start. docker compose down keeps everything; docker compose down -v deletes it all.

Change the release: back up the volumes, set SYNAPLAN_VERSION, run docker compose up -d (or redeploy the stack in the GUI). Going back to an older tag after a newer one migrated the database means restoring that backup. The steps are in Update a self-hosted deployment.

Office documents, local AI, file work, closed-network TLS and scripted backups use the full deploy/compose.yaml with deploy/selfhost.env.example instead.

Closed network

Opt-in. The default stays http://127.0.0.1:8000 on this machine.

Turn it on when the network has no route to the public internet and people open Synaplan by the machine's address. Chat needs https://<address>/. The machine creates the certificate. The browser warns once.

Any IPv4 address on that network works, including 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 100.64.0.0/10 and 169.254.0.0/16, plus a block you assigned and do not announce.

cp deploy/selfhost.env.example deploy/.env
# Set SYNAPLAN_VERSION. Leave SYNAPLAN_HTTP_BIND at 127.0.0.1.
deploy/scripts/local-tls.sh 10.0.0.15
deploy/scripts/prepare.sh
docker compose --env-file deploy/.env -f deploy/compose.yaml pull
deploy/scripts/validate-release.sh
docker compose --env-file deploy/.env -f deploy/compose.yaml up -d

Colleagues open https://10.0.0.15/. Ports 80 and 443 must be free. The app itself stays on 127.0.0.1:8000. A second interface is another argument: deploy/scripts/local-tls.sh 10.0.0.15 192.168.1.20. A public name keeps your own HTTPS proxy and leaves this off.

Details: docs.synaplan.com/local-network · deploy/README.md.

On a server

The commands above are the development stack (source build, Vite, MailHog, phpMyAdmin) or the published image. For a Linux server, the installer writes deploy/.env, pins the latest release, and runs prepare → pull → validate → start → smoke-test. Secrets land in deploy/data/secrets.env.

curl -fsSL https://raw.githubusercontent.com/metadist/synaplan/main/install.sh | \
  bash -s -- --mode server --domain https://ai.example.com

The same steps by hand are in Installation and deploy/README.md. Flags: bash install.sh --help.

One-liner for the development stack, if you would rather not clone by hand:

curl -fsSL https://raw.githubusercontent.com/metadist/synaplan/main/install.sh | bash

One AI, everywhere you work

The same assistant, the same knowledge base, the same model policy — on every channel your team already uses. Connect a system once under Channels; the planner can then read from it and deliver results into it.

Conversation surfaces

Surface What it does Get it
Web app Full chat + admin UI, light/dark, five languages This repo — make up
Mobile apps Chat, documents and voice on iPhone and Android — pointed at web.synaplan.com or your own server App Store · Google Play
Synaplan Desktop Pair a computer and run skills on it. In the web app: Channels → Synaplan Desktop. No installer yet — build from the repository. metadist/synaplan-desktop
Outlook add-in Bring Synaplan into Outlook (Web, new & classic, Mac) — find and process mail without sending it anywhere metadist/Synamail
Chat widget Embed your assistant on any website with one snippet — cross-origin ready, human takeover included Widget guide
WhatsApp & Email The AI answers on the channel the question came in on WhatsApp · Email
MCP & Claude Code Your RAG and memories as MCP tools; Anthropic-compatible POST /v1/messages endpoint MCP guide · guide

Connected systems

Set these up under Manage → Connections (or Manage → Connections → MCP Servers / Manage → Channels → Email). In chat, use the channel word shown as a pill on the Connections page — for example nextcloud, dropbox, outlook.

Channel What it unlocks Setup
Microsoft 365 Live Outlook mail search, calendar events (outlook), send from your own mailbox Manage → Connections — OAuth, no password stored
Dropbox Save generated files into a Dropbox folder (dropbox) Manage → Connections — OAuth
Nextcloud / ownCloud / WebDAV File results into a folder you own (nextcloud / folder) Manage → Connections — app password, never your account password
CalDAV calendar Put generated meetings into a calendar you own (calendar) Same Nextcloud preset can create folder + calendar in one step
IMAP mailbox Live search of any IMAP inbox, merged with Microsoft 365 results Manage → Channels → Email
Jira & Confluence Search and summarize; create tickets or pages when you allow writes. A pasted Confluence page is read through the signed-in account Manage → Connections → MCP Servers — Jira & Confluence card, then sign in with Atlassian (no API token)
Saved Tasks Pin a plan and run it on demand or on a schedule (hourly / daily / weekdays) Manage → Automations → Saved Tasks
Nextcloud / OpenCloud apps Use files from those clouds as AI knowledge — the file store stays in charge synaplan-nextcloud · synaplan-opencloud

Details and channel words: docs/CONNECTIONS.md.


The Synaplan ecosystem

Everything below is the same platform, packaged for different homes. Pick what fits — nothing else is required.

Project What it is
synaplan The platform itself (this repo): backend, frontend, widget, plugins, dev stack, and the deploy/ production contract with Elestio, AWS Marketplace, and Umbrel adapters
synaplan-charts Helm charts for Kubernetes — for partners and enterprises running K8s clusters
Mobile apps Native iOS and Android — App Store · Google Play
synaplan-desktop Synaplan Desktop — pair a computer and run skills on it. No installer yet; build from source.
Synamail Outlook add-in (Web, new & classic, Mac) — Synaplan inside your mailbox
synaplan-nextcloud / synaplan-opencloud Apps for Nextcloud / OpenCloud — use those files as AI knowledge while the file store stays in charge (ownCloud works via the built-in WebDAV connection)
synaplan-tts Optional self-hosted text-to-speech service for voice output
synaplan-base-php The base Docker image (FrankenPHP + gRPC + whisper.cpp) the platform builds on

Prerequisites

Apple Silicon (M1–M4) Macs — build the backend image, don't pull it. The three-step start above already does this: make up builds the backend and worker locally from a multi-arch base image, so PHP/FrankenPHP runs natively on arm64 with no emulation tax. That is by far the fastest setup, and it is the default — you don't have to do anything special. (The published ghcr.io/metadist/synaplan image is multi-arch too, so pulling it also runs natively.) The first local build takes a few minutes; every later start is a cache hit. phpMyAdmin is the official multi-arch image and runs natively on Apple Silicon. MailHog is still an amd64-only upstream image — if you keep it, enable Docker Desktop → Settings → General → "Use Rosetta for x86/amd64 emulation on Apple Silicon" (macOS 13+) so it emulates quickly.


Install Options

Mode Command Size Best For
One-liner curl -fsSL https://raw.githubusercontent.com/metadist/synaplan/main/install.sh | bash ~4 GB Easiest start — checks prerequisites, fetches, and starts the standard stack (--mode server available for production)
Standard make up ~4 GB Local try-out: chat works after one click (Synaplan Demo or your own key), file work, spoken answers — status page first, then the rest
Quickstart (lite) deploy/quickstart/compose.lite.yaml ~3.2 GB Published image, 6 runtime containers (no git clone, no .env; shares volumes with compose.yaml)
+ local AI COMPOSE_PROFILES=local-ai make up ~5 GB Adds Ollama and the bge-m3 embedding model on your own hardware (local chat model optional, +~14 GB)
Production install.sh --mode server or deploy/ compose + scripts published image Self-host on a Linux server — see Installation
Kubernetes synaplan-charts published image Helm-based cluster deployments for partners and enterprises

A plain docker compose up -d starts the same stack but :5173 stays silent until every image is pulled — make up exists so the status page answers within seconds.

No AI weights are downloaded by default, so the first boot is dominated by the Docker images and npm ci. COMPOSE_PROFILES=local-ai is the same switch a self-hosted install uses in deploy/.env, and it pulls the local embedding model (bge-m3, ~1 GB) in the background for RAG and semantic search; progress is shown in the app.

Prefer the shell to the UI for provider keys? Keys in backend/.env still work — the backend reads that file when the container starts and imports the key into the encrypted store on first use. Write the key before starting, or restart the containers afterwards:

echo "GROQ_API_KEY=your_key" >> backend/.env
make up
# already running? pick up the new key with:
# docker compose restart backend worker

Access

Open http://localhost:5173. The API is at http://localhost:8000, the API docs at http://localhost:8000/api/doc. phpMyAdmin, MailHog, Qdrant, Tika, Ollama and TTS: Installation — Development service URLs.

Default Login Credentials:

Email Password Level
[email protected] admin123 ADMIN
[email protected] demo123 PRO
[email protected] test123 NEW (unverified)

Features


AI Providers & Models

Synaplan is provider-neutral: connect the providers you want in Operate → AI infrastructure → Providers & keys (keys are validated live and stored encrypted in the database, active without a restart), or set the env variables below in backend/.env — those are read at container start and imported into the encrypted store on first use. Each user picks a different model per task (chat, vision, image, video, audio, embeddings) — nothing is hardcoded.

Provider Variable in backend/.env Models
OpenAI OPENAI_API_KEY GPT-5.6 Sol / Terra / Luna, GPT-5.5 (+ Pro), GPT-5.4 (+ mini), GPT Image, Whisper, text-embedding-3
Anthropic ANTHROPIC_API_KEY Claude Opus 5, Sonnet 5, Fable 5, Opus 4.8, Haiku 4.5 (chat + vision)
Google Gemini GOOGLE_GEMINI_API_KEY Gemini 3.x / 2.5 chat + vision, Nano Banana (incl. Pro / Lite), Veo 3.1, Gemini TTS
Groq GROQ_API_KEY Qwen 3.6 27B (chat + vision), GPT-OSS 20B/120B, Whisper Large v3
Mistral 🇫🇷 MISTRAL_API_KEY Mistral Medium 3.5 (+ vision), Mistral Large 3, Mistral Large 4 (+ vision), Voxtral transcription + TTS
xAI XAI_API_KEY Grok 4.7 / 4.6 / 4.5 (+ vision, 500K context), Grok Imagine image + video (incl. Pro / 1.5 tiers)
Meta META_API_KEY Muse Spark 1.3, Muse Wonder (+ vision), Muse Image, Muse Voice Transcribe — Meta Model API
Cerebras CEREBRAS_API_KEY Qwen 3.8 27B (+ vision), GPT OSS 120B — very fast inference (~2,000–3,000 tokens/s)
TrustedTokens 🇩🇪 TRUSTEDTOKENS_API_KEY GLM 5.2 / 5.3 (+ Flash vision), Chimera, Qwen3.6 35B (+ vision), GPT OSS 120B — sovereign inference on German GPUs (TNG), zero data retention
A2Agent 🇨🇳 A2AGENT_API_KEY Qwen3.8 MAX / Flash (+ vision), DeepSeek V4 Pro / Flash, MiniMax M3 — Chinese frontier models via the A2Agent gateway
HuggingFace HUGGINGFACE_API_KEY Kimi K3 / K2.5 / K2.6 / K2.7 Code (chat + vision)
TheHive THEHIVE_API_KEY Flux Schnell, SDXL
Higgsfield HIGGSFIELD_API_KEY + HIGGSFIELD_API_SECRET Soul, Reve, DoP, Kling 2.1
Cloudflare Workers AI CLOUDFLARE_ACCOUNT_ID + CLOUDFLARE_API_TOKEN bge-m3 embeddings (also usable as embedding fallback)
Ollama 🇩🇪 self-hosted OLLAMA_BASE_URL (no key) Any local model — chat, vision, bge-m3 embeddings

Transparent pricing. Every model carries its provider's own rate (USD per 1M tokens in/out, or per image / second / character for media) — no proprietary credit unit in between. The selector shows a Free / Low / Mid / High cost badge next to each model and on every answer, GET /api/v1/config/models returns priceIn / priceOut, and the Statistics page logs the real cost of each call. On the hosted instance at web.synaplan.com that same catalog is what your plan meters against; self-hosted with Ollama, the per-token cost is simply zero. Details: Model pricing & cost transparency.

Model catalog changes (new models, retired generations, price updates) ship as seeders, so an existing install is repointed to a supported successor instead of silently keeping a dead model — a retirement records the successor and every install is switched off on the next deploy. See docs/PRICING_MAINTENANCE.md.


Lean by design: core vs optional building blocks

make up starts a complete platform, but the core is deliberately small: the app, its database and Redis. Everything else is a building block that adds one capability and costs RAM. Switch a block on when you need it and off when you don't — Synaplan keeps running either way and simply hides the matching feature. The boot status screen at http://localhost:5173 lists the live on/off state of every block, and Operate → System status (/admin/features) does the same after login.

Block Gives you Default Switch
Core — frontend, backend, worker, scheduler, db (MariaDB), redis The app, its API, async jobs, scheduled jobs, storage, cache and queues always on —
Ollama (ollama) Local AI on your hardware: bge-m3 embeddings for document search, optional local chat (ENABLE_LOCAL_GPT_OSS=true) off COMPOSE_PROFILES=local-ai make up — the same switch as deploy/.env in production
Qdrant (qdrant) Vector database for AI memories, feedback analysis and large-scale RAG on docker compose stop qdrant — document search itself runs on MariaDB VECTOR (the default VECTOR_STORAGE_PROVIDER), so RAG keeps working; memories pause
Centrifugo (centrifugo) Live support: human takeover of widget chats, typing indicators, operator notifications (realtime guide) on REALTIME_ENABLED=false make up (then docker compose stop centrifugo) — the dashboard falls back to plain REST refreshes
Apache Tika (tika) Text extraction from PDF, Word, Excel and 1000+ formats for RAG on docker compose stop tika — uploads then index plain text / OCR only
Collabora CODE (collabora) Office files: thumbnails, “Download as PDF”, inline preview, “Combine as PDF” (~2 GB RAM) — details on docker compose stop collabora
Docling (docling) Layout-aware extraction (tables, headings) in front of Tika — module off docker compose --profile docling up -d
SearXNG (searxng) Self-hosted web search so queries stay on your network — module off docker compose --profile searxng up -d
File work (compute) Short Python / Node jobs on copies of files you pick — details on COMPUTE_URL=disabled make up
Text-to-speech (tts) Spoken answers, five built-in voices — details on docker compose stop tts
Keycloak (keycloak) SSO test realm for OIDC development (configuration) off docker compose --profile oidc up -d

Keep a default-on block off across restarts. docker compose stop is undone by the next up -d. To make a block opt-in permanently, give it a profile in a docker-compose.override.yml (not tracked by git) — plain up -d then skips it, --profile optional brings it back:

services:
  qdrant:
    profiles: [optional]

Production follows the same rule set: deploy/compose.yaml always starts web/worker/scheduler plus db/redis/centrifugo/tika/qdrant and spoken answers, with office, local-ai and compute as profiles (COMPOSE_PROFILES=office,local-ai,compute in deploy/.env). Kubernetes installs wire the same services via synaplan-charts. The other dev-only containers (phpmyadmin, mailhog, frontend-widgets, startup-notes) never ship to production.


Realtime & Background Processing

Both compose files also start four internal services (no host ports, no setup needed):

Service Role
redis Mandatory shared infrastructure: cache, sessions, locks, rate limits, message queues (Redis Streams), Centrifugo engine
centrifugo WebSocket gateway for realtime features (live chat takeover, typing indicators, operator notifications) — browsers connect same-origin via /connection/websocket
worker Symfony Messenger consumer that executes async jobs (AI processing, document indexing, widget crawling)
scheduler Ticks every 60 s: saved tasks, media-job reaping, ephemeral-file cleanup, update check

In a multi-node cluster all nodes share one Redis, so WebSocket events published on one node reach browsers connected to any other. Details: docs/REALTIME.md.


Text-to-Speech

Voice output starts with make up — synaplan-tts, image ghcr.io/metadist/synaplan-tts. The image already contains five Piper voices (English, German, Spanish, French, Turkish). Stop the tts container to hide the speaker control.

# Already running after `make up`. Standalone on another machine:
docker run -d --name synaplan-tts -p 127.0.0.1:10200:10200 ghcr.io/metadist/synaplan-tts:latest

The backend looks at SYNAPLAN_TTS_URL (compose default http://tts:10200).

The UI language selects the voice. Chat sends the active frontend locale (en / de / es / fr / tr); if the backend detects a different reply language, that wins. Piper then maps the short code to the matching baked voice (German UI → kerstin, Spanish → davefx, …). There is no separate voice picker. Add more Piper models by dropping .onnx + .onnx.json into the extra-voices volume — see synaplan-tts README and docs.synaplan.com/tts.


Office documents

Thumbnails, PDF export, inline preview and “Combine as PDF” use Collabora CODE. make up starts it. Chat and DOCX / XLSX / PPTX generation still work if you stop it. The URL is http://collabora:9980 in backend/.env.example. Setup: Installation — Office conversion.


File work

The assistant can run a short Python or Node program on copies of files you already picked. make up starts it. The dev token, and how to turn the sidecar off, are in Installation — File work.


Common Commands

# Startup progress ("please wait..." notes + READY message)
docker compose logs -f startup-notes

# Logs
docker compose logs -f backend

# Restart
docker compose restart backend

# Reset database
docker compose down -v && make up

# Run tests
make test

# Code quality
make lint

Documentation

User-facing & API docs live at docs.synaplan.com. Source: metadist/synaplan-docs.

In-repo guides (for developers working on this codebase):

Guide Description
Installation Local development stack and production self-hosting (deploy/)
Configuration Environment variables, API keys
Feature flags Every wave feature (people & sharing, assistants, tools, saved-task steps, desktop, file work, …): admin toggle, FEATURE_* env pin, defaults
File work / compute Optional sidecar: flags, compose profile, quotas, workspaces
Connections Microsoft 365, Dropbox, Nextcloud / WebDAV, CalDAV, Jira / Confluence
AI Model Pricing Model catalog, provider prices, retiring a model
Development Commands, testing, architecture
Realtime / WebSockets Centrifugo + Redis realtime layer, multi-node deployment
Observability Request correlation ids, redacted event ring, admin logs API
Office documents Optional Collabora CODE sidecar (PDF export, previews, convert-to)
RAG System Document search and processing
Chat Widget Embed chat on websites
WhatsApp Meta Business API setup
Email Email channel integration
Anthropic-compatible API Claude Code / Messages API gateway (POST /v1/messages)
Secure compute (user docs) What people see: File work card, Workspace, quotas
Repo Purpose
synaplan Main app (this repo)
synaplan-docs Public docs site (docs.synaplan.com)
Synamail Outlook add-in
synaplan-desktop Synaplan Desktop (Windows, macOS, Linux). No installer yet; build from source.
synaplan-apps iOS and Android apps — App Store · Google Play
synaplan-nextcloud Nextcloud integration
synaplan-opencloud OpenCloud integration
synaplan-tts Optional Piper TTS — image with 4 baked voices
synaplan-sortx Document-sorting plugin + local tool
synaplan-charts Helm charts for Kubernetes
synaplan-platform Production deployment configs

Project Structure

synaplan/
├── backend/        # Symfony PHP API
├── frontend/       # Vue.js SPA
├── docs/           # Developer documentation
├── deploy/         # Production self-host compose + lifecycle scripts
├── sidecars/       # Optional sidecars (secure compute)
├── _docker/        # Docker configs
└── plugins/        # Plugin system

Star history

Star history of metadist/synaplan

Community & Support

Contributing

See CONTRIBUTING.md. AGENTS.md is the guide for coding agents working in this repository.


License

Apache-2.0

OSBA

synaplan (metadist/synaplan)

whatsapp-bot
Searching Database…

Open-source, self-hosted AI platform (PHP/Symfony): chat with any model, RAG over your docs, embeddable widget, MCP — see the cost of every answer. 0.

Creator
metadist
Size
179.1 MB
Stars
468
Age
1y
Commits · 90 Days