v0.12.1 · MIT
Migrate Claude Code setup into DeepSeek Harness. Import skills, commands, agents, hooks, permission rules, and MCP config. Codex and OpenCode supported.
v0.8.1 · MIT
A local Git-backed long-term memory bundle for DeepSeek Harness
v0.8.1 · MIT
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
v0.2.0 · MIT
DeepSec — AI Security Offense & Defense Platform. Shield audits AI-generated code for hallucinated packages, missing safeguards & AI pattern errors in real time. Spear automates authorized penetration testing with 40+ skill packs, from recon to PoC.
v2.0.0 · Apache-2.0
Deterministic Runtime Execution Governance & Security Circuit-Breaker for DSH & Multi-Agent Workstations
v0.1.0 · MIT
为 DeepSeek Harness 提供电脑控制插件:新鲜 Accessibility 观测、过期状态拒绝、作用域权限与安全输入(目前支持macos)|Accessibility-first macOS Computer Use bundle for DSH with fresh observations, stale-state rejection, scoped permissions, and safe input.
v0.1.10 · MIT
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
v0.5.5 · Apache-2.0
本地优先、零普通运行时依赖的 DSH 项目记忆:有界会话冻结 Hot Memory、倒排 BM25 召回、生命周期与缓存命中优化、中英双语 GUI。 / Local-first DSH project memory with zero regular runtime dependencies: bounded session-frozen Hot Memory, inverted-index BM25 recall, lifecycle, cache-aware design, and a bilingual GUI.
v1.0.2 · MIT
Multi-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — TWO agent presets in one install: vibe-math-v1 (classic pipeline: brainstorm → solver iteration → multi-verifier debate → Verified) and vibe-math-v2 (new probability
v0.7.0 · MIT
Terminal front door for DeepSeek Harness (dsh): an out-of-tree TUI mode bundle over dsh-base
v0.5.2 · MIT
Animated and video live wallpaper for the DeepSeek Harness Web GUI — GIF, animated WebP/APNG and static PNG/JPEG images, plus MP4/WebM video backgrounds, with auto format detection, a dim slider, and UI chrome tone matching.
v0.2.1 · Apache-2.0
Safe delete plugin for DeepSeek Harness (DSH): move files to trash / staging area instead of permanent removal, with restore and purge support.
v0.5.0 · MIT
Cross-session plaintext memory plugin for the DeepSeek Harness — deterministic BM25 recall, human-owned, no embeddings
— · no license
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
v0.1.0 · Apache-2.0
A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.
— · Apache-2.0
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a single command, no API glue code.
v0.6.0 · ISC
DeepSeek Harness bundle: a Chrome browser for agents (browser_goto / browser_evaluate / browser_screenshot tools) with a live two-way pane inside the DSH Web GUI. The browser engine is a fork of zenbu-labs/terminal-browser with the React Ink terminal UI r
— · MIT
Best ready-to-run DeepSeek Harness distribution: DSH desktop GUI, terminal TUI, and harness integration.
v0.7.0 · MIT
Git-native slide format, Agent API, CLI, MCP server, and renderer
— · no license
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.
— · MIT
Portable Agent Skill for repository-native Spec programming, informed by public DeepSeek Harness engineering patterns.
— · no license
A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-performance systems.
— · no license
Use this cross-platform skill in Codex or Claude Code to establish repository-local continuity memory so a future agent can recover objective, status, decisions, validation, risks, and next actions without relying on previous chat history.
— · no license
One format, two readers. People and AI agents now co-write the same document. Legible for people; addressable, verifiable, and versioned for machines. GEML is plain text — organized by one typed block for everything, remembered by a .gemlhistory sidecar.