graphbit vs adk-rust
Rust-based frameworks for building AI agents and workflows compared
graphbit and adk-rust are Rust-based frameworks for building AI agents and orchestrating workflows. graphbit pairs a Rust runtime with a Python API focused on graph workflows, while adk-rust offers a modular Rust crate ecosystem spanning agents, memory, serving, and real-time voice.
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.
adk-rust: Build AI Agents with Rust
ADK-Rust is a modular framework for building and deploying asynchronous AI agents in Rust. It supports multiple model providers, tools, workflows, memory, and real-time voice, with composable crates for projects ranging from prototypes to production services.
| graphbit | adk-rust | |
|---|---|---|
| Language | Rust | Rust |
| License | Apache-2.0 | NOASSERTION |
| Stars | 585 | 690 |
| Forks | 120 | 108 |
| Last analyzed | Oct 4, 2026 | Oct 3, 2026 |
Key differences
- graphbit exposes a Python API backed by Rust; adk-rust is designed for Rust developers using Rust crates.
- graphbit centers on graph workflows with agents, tools, shared state, concurrency, and execution tracing; adk-rust also supports sequential and parallel workflows, teams, and graph orchestration.
- graphbit connects to providers including OpenAI, Anthropic, Azure OpenAI, Ollama, and OpenRouter; adk-rust integrates with Gemini by default and offers optional provider integrations.
- adk-rust lists capabilities including session storage, long-term memory, retrieval, artifacts, HTTP serving, authentication, and real-time voice; graphbit's listed focus is workflow execution, controls, state, and tracing.
- graphbit reports an Apache-2.0 license; adk-rust's repository metadata reports NOASSERTION, while its README states Apache 2.0.
- Both projects are unarchived. The supplied metadata lists 585 stars for graphbit and 690 for adk-rust.
Choose graphbit if you…
- need a Python-facing API with a Rust-backed workflow engine.
- want graph-based workflows with concurrency controls, shared state, and execution tracing.
- need to work with the listed providers, including Azure OpenAI, Ollama, or OpenRouter.
Choose adk-rust if you…
- want to build agent systems directly in Rust with modular, opt-in crates.
- need capabilities such as memory, retrieval, HTTP serving, or real-time voice alongside agent workflows.
- want workflow options including teams, checkpoints, or human approval pauses.
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.