HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven, BMAD-METHOD plan, so Claude Code, Cursor & Gemini CLI stay locked to it. A CLI-enforced state machine for agentic coding. Now builds DeepSeek DSH Plugins. DeepSeek Harness、DSH 插件、AI 编程、BMAD 方法. AI Copywriting
GatherThread 共序:本地 AI 编程 Agent 多人联机协作、实时共享上下文。Self-hostable collaboration for local AI coding agents, Codex Desktop connector & DeepSeek Harness plugin.
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
给 DeepSeek Harness 的原生地图工具:驾车/公交/步行/骑行路线、地理编码、逆地理编码、POI 搜索。 Map & routing tools for DeepSeek Harness — native tools (no MCP) with a real map card in every answer, via Amap (高德) or free OSM/OSRM.
Undo what an agent did to a directory: content-addressed snapshots, one-command rewind, and an undo you can undo. Works in any folder — git or not. DSH plugin + skill, zero dependencies.
What will your agent's context cost before it runs? Audit instruction files, skills, MCP tool schemas and memory per source — with duplication, always-on versus on-demand costs, and a budget you can enforce in CI. Reads files and nothing else.