deepseek-ai/deepseek-harness
DeepSeek Harness (dsh) is an open-source agent harness from DeepSeek AI built on an everything-is-a-plugin architecture over the Cordis framework, started from npm with a local web UI.
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hofstadter-io/hof
hof, the higher order framework, is a command line tool that brings data models, schemas, code generation and workflow execution under one abstraction built on the CUE configuration language. Its code generator combines structured data with templates to emit anything in any target technology, and the same data models can be defined, checkpointed, diffed and migrated over time, so generated code evolves with the schema instead of drifting from it. A task engine based on cue/flow runs extensible tasks arranged as directed acyclic graphs, which covers build steps, data pipelines and general automation. Around these pieces sit the core CUE commands for definition, evaluation, export and validation, module dependency management, and creators that bootstrap a project from a starter kit hosted in any git repository. The agent-related surface is the newer part of the project: hof advertises agentic as well as deterministic generation, a chat subcommand that pairs a language model with the template generator so that model output is constrained by schemas rather than produced freehand, agent servers, and a Visual Studio Code extension; the repository is tagged for adk-go. Two interfaces are provided, a CLI suited to scripting and automation and a terminal user interface for exploring and designing models interactively. The codebase is organised into the flow engine, the CLI entrypoint, subcommand libraries, documentation sources and a testscript-based suite, with make targets for building, testing and serving the docs. Installation is available through GitHub releases or Homebrew, with shell completions for the common shells, and the project maintains extensive documentation, a getting-started tour and a generator walkthrough. It suits engineers who want schema-driven, reproducible generation with a language model in the loop rather than freeform prompting.
https://github.com/hofstadter-io/hof
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