Manifold is an experimental platform for long-horizon workflow automation with teams of AI assistants.
It supports OpenAI, Google, and Anthropic models, along with OpenAI-compatible APIs for self-hosted open-weight models served through llama.cpp or vLLM.
Warning
Manifold is an experimental frontier AI platform. Do not deploy it in production environments that require strong stability guarantees unless this README explicitly states otherwise.
Manifold is built for workflows that go beyond one-shot prompts. It gives you a workspace where specialists, tools, projects, and workflows can work together on multi-step objectives over extended periods.
Use a traditional chat interface to assign objectives to specialists.
Specialists can collaborate across multiple turns. Manifold is designed to take advantage of the long-horizon capabilities of frontier models and can work on complex objectives for hours.
Design agent workflows with a visual flow editor. MCP tools are exposed as nodes automagically. Saved workflows become tools that can be invoked by specialists or inserted as nodes into other workflows. It's workflows all the way down.
Manifold supports image generation with OpenAI and Google models, as well as local image generation through a custom ComfyUI MCP client.
Example ComfyUI-generated image using a custom workflow.
Define and configure AI agents, then build your own team of experts.
Configure projects as agent workspaces.
Manifold includes built-in tools for agent workflows and supports MCP to extend agent capabilities. You can configure multiple MCP servers and enable tools individually to manage context size more precisely.
Create, iterate on, and version prompts that can be assigned to agents. Configure datasets and run experiments to understand how prompt changes affect agent behavior.
The recommended first-run path is Docker-based and does not require a local Go, Node, or pnpm toolchain.
For a basic local deployment, you need:
- Docker with Docker Compose support
- An LLM API key or a reachable OpenAI-compatible endpoint
- A writable host directory to use as
WORKDIR
Optional local tooling is only needed if you are developing Manifold itself:
- Node 22 and
pnpmfor running the frontend outside Docker - Go 1.25 for local binary builds
- Chrome or another Chromium-compatible browser if you plan to use browser-driven tools from a host build
cp example.env .env
cp config.yaml.example config.yaml
# Edit .env and set at minimum:
# OPENAI_API_KEY=...
# WORKDIR=/absolute/path/to/your/manifold-workdir
docker compose up -d pg-manifold manifoldThen open http://localhost:32180.
For the full deployment walkthrough, see: