DeepSeek Harness Core Infrastructure
Production-grade AI agent execution kernel for DeepSeek Harness, decoupling models, sandboxes, and tools via Cordis.
Explore the DeepSeek Harness plugin ecosystem powered by the Cordis microkernel. Discover official and community extensions for agent orchestration, custom tools, isolated execution sandboxes, vector memory, and private LLM adapters. Built with declarative YAML configuration, live HMR, and end-to-end Trajectory tracing for enterprise-ready AI agents.
Production-grade AI agent execution kernel for DeepSeek Harness, decoupling models, sandboxes, and tools via Cordis.
Programmatic Tool Calling engine exposing tools as typed TypeScript APIs for complex control flow scripting by LLMs.
Dynamic subagent orchestration center enabling isolated context spawning, concurrent execution, and inter-agent bus messaging.
Minimal dual-tool evaluation preset featuring Bash and Str-Replace, designed for pure agent benchmarking without noise.
In-memory interactive plugin playground for hot-reloading, debugging Cordis extensions, and inspecting live event buses.
Goal-oriented task planner breaking complex full-stack requirements into structured milestones, checklists, and verifications.
Physical Docker container sandbox enforcing strict resource quotas and isolation for shell commands and compilation.
WebAssembly-powered millisecond sandbox delivering zero cold-start overhead and strict memory boundaries for user scripts.
Append-only Trajectory audit log and event streaming engine supporting full reasoning chain recording, forks, and replays.
Stateful persistent Shell terminal executor with session retention, ANSI cleansing, and background daemon management.
Context-aware Multi-chunk non-contiguous code patch editor preventing token bloat and hallucination from full-file overwrites.
Embedded native Ripgrep regex search engine providing millisecond codebase scanning, symbol matching, and path filtering.
Dedicated LLM provider adapter for DeepSeek-V3, R1, and V4, optimized for KV prefix caching and streaming tokens.
Out-of-the-box modern Web UI dashboard offering collapsible thinking trees, visual diffs, and event timeline tracking.
Model Context Protocol (MCP) bridge seamlessly connecting hundreds of community MCP servers, tools, and data sources.
Empowers agents with 'AI Design & Prototype Engine for DSH' capabilities for automated Design and Prototype operations, static analysis, and code processing.
Empowers agents with 'AI-Powered Privacy-First Resume Builder' capabilities for automated Resume and Career operations, static analysis, and code processing.
Enhances agent lifecycle orchestration and scheduling for Knowledge and SkillGenerator, ensuring deterministic task execution.
Extends communication protocols for Extension and PromptManager, supporting multi-platform notifications, remote controls, and UI review.
Empowers agents with 'Verifiable Architecture & Sequence Diagrams as Code' capabilities for automated Architecture and Diagram operations, static analysis, and code processing.
Empowers agents with 'Industrial Image Generation Prompt Engine' capabilities for automated ImageGen and PromptTemplate operations, static analysis, and code processing.
Extends communication protocols for Golang and Workspace, supporting multi-platform notifications, remote controls, and UI review.
Extends communication protocols for Desktop and Electron, supporting multi-platform notifications, remote controls, and UI review.
Enhances agent lifecycle orchestration and scheduling for AgentOS and SelfEvolving, ensuring deterministic task execution.
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Frequently asked questions about DeepSeek Harness plugin architecture, installation, sandbox safety, and custom development.
Built on the Cordis microkernel, Harness plugins decouple tools, sandboxes, and state machines, enabling models to invoke tools via the bus or write programmatic TypeScript scripts (PTC) to batch-orchestrate workflows.
You can install plugins with 'npx @deepseek-ai/dsh add [package-name]' or declare the package and configuration directly in 'cordis.yml'. Harness supports live Hot Module Reloading (HMR), applying new plugins without restarting the host agent daemon.
Harness enforces multi-layered sandbox isolation. High-risk shell commands and builds run inside disposable Docker containers or WebAssembly environments with strict CPU, RAM, and read-only filesystem limits. AST static code scanning and security interceptors are also provided.
Harness includes a built-in MCP bridge plugin. Simply configure the MCP server launch command or SSE endpoint in 'cordis.yml'. Harness automatically performs JSON-RPC handshakes, discovers tools, and mounts them as native Cordis services.
Run 'npx create-cordis-plugin my-plugin' to scaffold a TypeScript project. Implement the standard 'apply(ctx, config)' lifecycle function, publish to npm or GitHub, and leverage TypeScript declaration merging for full intellisense.
Harness relies on a deterministic state machine and Fiber lifecycle controller. If a plugin throws an exception or times out, error interceptors trap the failure, execute self-healing rollbacks, and inject sanitized error logs into the next reasoning step without crashing the agent process.