graphbit vs harness-sdk
Multi-agent AI workflow frameworks compared
graphbit builds connected AI workflows through a Python API backed by a Rust engine. harness-sdk provides Python and TypeScript agent harnesses and SDKs, with options ranging from ready-made defaults to direct control of the agent loop.
graphbit: Build Type-Safe Multi-Agent AI Workflows
GraphBit is a Rust-core framework with a Python API for building and running multi-agent AI workflows. It suits teams that need concurrent execution, multiple LLM providers, and workflow reliability with Python ergonomics.
harness-sdk: Build and Run AI Agents in Python and TypeScript
Strands Agents provides Python and TypeScript tools for building AI agents, from a ready-made harness to a customizable agent SDK. It suits teams that want model flexibility and control over agent execution without a hosted control plane.
| graphbit | harness-sdk | |
|---|---|---|
| Language | Rust | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 585 | 8.6k |
| Forks | 120 | 1.3k |
| Last analyzed | Oct 4, 2026 | Oct 3, 2026 |
Key differences
- graphbit focuses on graph-based workflows with connected agent, tool, and custom nodes; harness-sdk focuses on running agents through a configurable harness or lower-level SDKs.
- graphbit uses a Python-facing API with a Rust core; harness-sdk supports Python and TypeScript.
- graphbit highlights concurrency, shared workflow state, retries, circuit breakers, and workflow tracing; harness-sdk highlights lifecycle limits, sessions, streaming, MCP tools, guardrails, and evaluation.
- Both are Apache-2.0 licensed. graphbit reports 585 stars and 120 forks, while harness-sdk reports 8.6k stars and 1.3k forks.
- graphbit lists OpenAI, Anthropic, Azure OpenAI, Ollama, and OpenRouter among its providers; harness-sdk lists Amazon Bedrock, Anthropic, OpenAI, and Gemini, plus additional and custom providers.
Choose graphbit if you…
- need to model multi-agent processes as connected workflow graphs.
- want a Python API backed by a Rust runtime, with concurrency and shared workflow state.
- need workflow-level tracing and controls such as retries or circuit breakers.
Choose harness-sdk if you…
- want a ready-made Python or TypeScript harness, or a lower-level SDK to customize the agent loop.
- need agent lifecycle controls, sessions, streaming, or MCP tool integrations.
- want to use features such as hooks, tracing, guardrails, and evaluation support.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.