Harness Toolbox
A live catalog of AI agent harnesses, rebuilt daily from GitHub data. We measure attention, not quality.
Rankings: Most starred · Fast growing · Newest · Most wanted
Browse by category
We group harnesses by the job they do. Pick a category to see every project in it, most starred first.
Coding agents
Frameworks & SDKs
general-purpose libraries for building agents
coordinating teams, crews and swarms of agents
graph, DAG and state-machine runtimes for agent workflows
visual and no-code agent builders
sandboxes and code execution environments for agents
Agent capabilities
memory layers and context management
retrieval and knowledge layers for agents
MCP servers, tool registries and function-calling plumbing
agents that operate a desktop or GUI
browser automation and web agents
voice and realtime conversational agents
Running agents in production
Applied agents
Methodology
We find candidates through GitHub Search (agent-related topics and keywords, plus a radar for repos younger than 90 days), then snapshot every repo in the pool once a day via the GraphQL API. For new entries we rebuild star history from sampled stargazer timestamps.
Categories come from the job a project does, not the language it is written in. Every project sits in exactly one, and within a category we sort by stars.
Exclusions:archived repositories, inactive repos (no pushes in 60 days), awesome-lists, and prompt collections. We define a “harness” as a tool or framework that orchestrates an LLM to complete tasks — tool calling, context management, agentic loops. Models themselves, API wrappers, and prompt libraries do not qualify.