* feat(providers): add Sakana AI provider with Fugu models OpenAI-compatible provider at https://api.sakana.ai/v1 (bearer auth). Registers fugu (fast default) and fugu-ultra (reasoning flagship), both 1M context. BYOK-only, never hosted/auto-billed. Streaming, tool loop, and response_format supported; attachments mirror deepseek (unsupported in the current adapter). * fix(providers): defer Sakana structured output until after tool loop OpenAI-compatible backends reject a request carrying both response_format and active tools/tool_choice. Mirror the LiteLLM pattern: withhold the JSON schema while tools are active and apply it on a final tool-free call (tool_choice: none) for both streaming and non-streaming paths. * fix(providers): harden Sakana tool-loop error + final-stream tool_choice - Rethrow tool-loop failures instead of swallowing them, so a failed run surfaces as a ProviderError rather than a partial success (matches LiteLLM). - Force tool_choice: 'none' on the post-tool streaming pass so the model cannot emit fresh tool calls that the text-only stream adapter would drop. * fix(providers): Sakana streaming usage + filtered-tools stream guard - Pass stream_options: { include_usage: true } on both streaming calls so token/cost data is captured (the shared OpenAI-compatible stream helper only fills usage from chunk usage, which the API omits without the flag). - Include !hasActiveTools in the early-stream guard so requests whose tools are all filtered out (e.g. usageControl 'none') still take the fast streaming path instead of the tool-loop path. Mirrors LiteLLM. * fix(providers): answer every Sakana tool_call to keep message history valid An assistant message lists all tool_calls, so a call for an unconfigured tool must still get a matching `tool` response or the next request violates the OpenAI message contract. Emit an error tool-result for unknown tools instead of dropping them. * test(session): de-flake SessionProvider normal-load test flush() only drained microtasks, so the query->render update occasionally lost the race and ctx.data was still null after the flush budget. Yield one macrotask tick per flush so React Query's notifyManager and deferred renders settle deterministically. Verified across repeated local runs.
The open-source AI workspace where teams build, deploy, and manage AI agents. Build conversationally, visually, or with code. Connect 1,000+ integrations and every major LLM to automate real work.
Build everything in Chat
Your AI command center. Describe what you want in plain language. Sim knows your entire workspace and takes action: building agents, running them, querying data, and more.
Create files and documents
Generate documents, reports, and presentations from a single prompt, grounded in your workspace data.
Ground agents in your knowledge
Upload documents to a knowledge base and let agents answer questions from your own content.
Structured data with Tables
A database, built in. Store, query, and wire structured data into agent runs.
Build visually with Workflows
Prefer a canvas? Design agents block by block in the visual builder, and let Sim generate blocks, wire variables, and fix errors from natural language.
Quickstart
Cloud-hosted: sim.ai
Self-hosted: NPM Package
npx simstudio
Note
Docker must be installed and running on your machine.
Options
| Flag | Description |
|---|---|
-p, --port <port> |
Port to run Sim on (default 3000) |
--no-pull |
Skip pulling latest Docker images |
Self-hosted: Docker Compose
git clone https://github.com/simstudioai/sim.git && cd sim
docker compose -f docker-compose.prod.yml up -d
Sim also supports local models via Ollama and vLLM. See the Docker self-hosting docs for setup details.
Self-hosted: Manual Setup
Requirements: Bun, Node.js v20+, PostgreSQL 12+ with pgvector
- Clone and install:
git clone https://github.com/simstudioai/sim.git
cd sim
bun install
bun run prepare # Set up pre-commit hooks
- Set up PostgreSQL with pgvector:
docker run --name simstudio-db -e POSTGRES_PASSWORD=your_password -e POSTGRES_DB=simstudio -p 5432:5432 -d pgvector/pgvector:pg17
Or install manually via the pgvector guide.
- Configure environment:
cp apps/sim/.env.example apps/sim/.env
# Create your secrets
perl -i -pe "s/your_encryption_key/$(openssl rand -hex 32)/" apps/sim/.env
perl -i -pe "s/your_internal_api_secret/$(openssl rand -hex 32)/" apps/sim/.env
perl -i -pe "s/your_api_encryption_key/$(openssl rand -hex 32)/" apps/sim/.env
# DB configs for migration
cp packages/db/.env.example packages/db/.env
# Edit both .env files to set DATABASE_URL="postgresql://postgres:your_password@localhost:5432/simstudio"
- Run migrations:
cd packages/db && bun run db:migrate
- Start development servers:
bun run dev:full # Starts Next.js app and realtime socket server
Or run separately: bun run dev (Next.js) and cd apps/sim && bun run dev:sockets (realtime).
Chat API Keys
Chat is a Sim-managed service. To use Chat on a self-hosted instance:
- Go to https://sim.ai → Settings → Chat keys and generate a Chat API key
- Set
COPILOT_API_KEYenvironment variable in your self-hosted apps/sim/.env file to that value
Environment Variables
See the environment variables reference for the full list, or apps/sim/.env.example for defaults.
Tech Stack
- Framework: Next.js (App Router)
- Runtime: Bun
- Database: PostgreSQL with Drizzle ORM
- Authentication: Better Auth
- Schema Validation: Zod
- UI: Shadcn, Tailwind CSS
- Streaming Markdown: Streamdown
- State Management: Zustand, TanStack Query
- Flow Editor: ReactFlow
- Docs: Fumadocs
- Monorepo: Turborepo
- Realtime: Socket.io
- Background Jobs: Trigger.dev
- Remote Code Execution: E2B
- Isolated Code Execution: isolated-vm
Contributing
We welcome contributions! Please see our Contributing Guide for details.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Made with ❤️ by the Sim Team




