DeepSeek Harness — Cordis plugins, agent modes & session logs
Explore DeepSeek Harness—open-source agent harness with Cordis plugins, Standard/Code/Minimal modes, and traceable session logs.
- Agent Harness
- Open Source
- Cordis Plugins
- Developer Preview
- Publisher
- DeepSeek
- Type
- Agent Harness
- Pricing
- Free
- Reviewed
- 20 August 2026

Quick verdict
- Use when
- You need a composable coding-agent runtime you can audit—swap models, tools, sandboxes, and UI as plugins, with append-only session logs.
- Skip when
- You mainly want a polished daily-driver editor, or you need a production-stable framework with long-term API guarantees and do not want a developer preview.
- Try instead
Use an editor-first AI IDE for day-to-day shipping; read the on-site harness guide when you are still choosing between runtime and editor.
DeepSeek Harness vs common alternatives
DeepSeek HarnessThis page
- Pricing
- Harness is free (MIT); you pay model providers and your own infra
- Learning cost
- Cordis plugins + runtime modes; developer-preview docs and CLI/Web UI
- Output limits
- Coding-agent modes, trajectory logs, swappable sandboxes/UI; APIs may change
- Privacy
- Runs locally or on your infra; model calls go to whichever providers you configure
LangGraph
- Pricing
- Open-source core; paid LangSmith/cloud options for observability at scale
- Learning cost
- Graph/state mental model; Python/JS ecosystems and LangChain docs
- Output limits
- General agent graphs beyond coding; strong orchestration patterns
- Privacy
- Self-host or cloud; tracing may leave your network if you use hosted observability
OpenAI Agents SDK
- Pricing
- SDK free to use; model and tooling billed through OpenAI usage
- Learning cost
- Python/TS agent loops; OpenAI docs and examples
- Output limits
- OpenAI-centric agents and tools; ecosystem tied to that provider surface
- Privacy
- Agent runs and model calls follow OpenAI platform data policies
Learn more
Details below the decision summary—features, workflow, and scope notes.
What is DeepSeek Harness?
What it costs
- Free tier
- Yes
- Pricing summary
- DeepSeek Harness is MIT-licensed open source in developer preview—no subscription for the harness itself. You still pay whichever model providers you wire in, plus any sandbox or storage infrastructure you run.
Reviewed on 20 August 2026 · deepseek-ai/deepseek-harness on GitHub
What DeepSeek Harness offers
Everything is a plugin
Cordis mounts and unmounts plugins with dependency awareness, so you can swap models, tools, skills, sandboxes, storage, loops, scheduling, and UI pieces without rewriting the harness core.
Traceable session trajectory
An append-only session log records system prompts, reasoning, tool calls and results, subagent scheduling, and context injections. Resume, fork, search, and replay operate on the same event stream.
Standard coding agent mode
Standard mode ships a full toolset—file editing, shell, file and web search, skills, planning, goals, subagents, and workflows—for day-to-day agent development.
Code mode orchestration
Code mode exposes tools through a Code Mode SDK so the model can combine multi-step operations in one TypeScript program instead of chaining single tool calls by hand.
Minimal and Creator modes
Minimal mode keeps only persistent bash and str_replace_editor for model benchmarking. Creator mode adds runtime inspection and in-memory Cordis plugin experiments for building custom presets.
Open source MIT preview
Source is available on GitHub under MIT. Core plugins and APIs may still change while DeepSeek Harness remains in developer preview.
How developers start with DeepSeek Harness
Launch the Web UI with npx
Install Node.js, then run `npx @deepseek-ai/dsh web` to open the DeepSeek Harness Web UI without cloning the repo first.
Clone when you need full source
For local plugin work, clone https://github.com/deepseek-ai/deepseek-harness and follow the repository setup instructions.
Pick a runtime mode
Use Standard for full coding-agent workflows, Code mode for TypeScript-orchestrated tool batches, Minimal for two-tool benchmarks, or Creator to inspect and recombine plugins.
Compose capabilities in configuration
Select, swap, or extend plugins—models, tools, skills, sandboxes, storage, loops, scheduling, UI—through configuration rather than patching harness internals.
Inspect runs in Trajectory view
Open the session log to audit what the model saw, verify tool results, then resume or fork from the same append-only stream when iterating on agent behavior.
Who DeepSeek Harness is for
Agent harness developers
Build or evaluate coding agents with swappable tools, sandboxes, and loops while keeping a single Cordis-based runtime.
Researchers benchmarking models
Minimal mode isolates shell and file-edit tools so you can compare model behavior in a constrained, reproducible environment.
Platform and infra engineers
Experiment with sandboxes, storage, scheduling, and UI plugins without rewriting the DeepSeek Harness core for each deployment shape.
Teams building custom agent presets
Creator mode supports runtime inspection and in-memory plugin trials before shipping a reusable Standard or Code mode preset.
When DeepSeek Harness is the right pick
Platform and preview notes
- Developer preview status
- DeepSeek Harness is in developer preview; Cordis plugins and public APIs continue to evolve. Treat breaking changes as expected until a stable release.
- License and source
- Distributed as open source under MIT from github.com/deepseek-ai/deepseek-harness. Community plugins are listed separately from the core repository.
- Quick start package
- The Web UI entrypoint is `@deepseek-ai/dsh` via `npx … web`. Node.js is required; confirm current CLI flags in official developer docs.
- Cordis kernel
- Plugin mount/unmount and dependency wiring run through Cordis services and events so capabilities can interoperate without hard-coded glue.