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.
Awesome AI Agents › AI Developer Tools
mlhher/late-cli
Late is a terminal coding agent written in Go and distributed as one statically compiled binary with no Python or Node.js runtime required, installable through Homebrew, an install script, the Arch user repository or a direct release download. Its design argument is that ordinary coding agents keep planning and execution in one shared context window, so compile errors, lint output, retries and file writes accumulate and degrade the reasoning quality of the model. Late separates the two roles. A main orchestrator holds a system prompt of about a thousand tokens and does nothing but analyse intent, map the repository layout and form a plan. Each concrete step is handed to an ephemeral subagent with its own identity and objective: a coding subagent applies exact-match diffs and absorbs the lint, write and retry traffic, while a research subagent scrapes and synthesises external data and absorbs the raw volume. When a subagent finishes, its context is discarded and only the outcome returns to the orchestrator, so the orchestrator context grows only from instructions and definitive results. The stated effect is that the same model performs better and bills fewer tokens, which matters most for small local models: the project markets itself as orchestrating a development team on about five gigabytes of video memory, while also working with large hosted models. It is model-agnostic, supporting local runtimes and hosted APIs alike, and includes a terminal user interface, MCP support and agent skills. The audience is developers who run coding agents against local or cheap models and want a single binary with no configuration, and anyone whose agent sessions degrade as the context fills with tool output.
https://github.com/mlhher/late-cli
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