v0.19.0 · MIT
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
v0.25.4 · MIT
Evidence-backed UI delivery for coding agents working on existing Web products: declared criteria, criterion-bound artifacts, findings linked to declarations, and repair guidance. Evaluator review does not replace human semantic approval.
v1.2.1 · MIT
Eco mode for Claude Code. /eco: -31% to -73% output tokens with critical findings intact; /eco-max: up to -75% with lowered effort. Measured hardest on Claude Fable 5 (fable5), deep-studied on Sonnet 5, works on Opus 4.8 too. We publish our negative results. 82 raw benchmark runs.
— · Apache-2.0
Run AI coding agents unattended for hours and ship PRs worth merging. Cybernetics-based multi-agent orchestration + cross-LLM peer review for Claude Code, Codex, and Gemini. Engine-enforced gates, fresh agent per checkpoint, cross-vendor review before every PR.
v0.5.4 · MIT
Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.
v0.2.16 · MIT
Visual Kanban board for DeepSeek Harness: Gitea and GitHub-backed tasks, workflow columns, and a dedicated agent session per task.
v0.2.14 · MIT
Core Goal Addon (Token Budget, Milestones, Git Snapshots & Retrospective Reports) for DeepSeek Harness
— · no license
Autonomous trading agents for Robinhood Chain, inside hard on-chain limits. Use it from Claude: tell Claude "set up merrymen mcp", or add it in one click at merrymen.dev/claude
v0.2.7 · Apache-2.0
Prompt enhancement for the dsh web GUI: rewrite the composer draft into a well-structured prompt through the harness LLM service, preview the before/after, then fill back, copy, or undo. Original draft is always preserved.
v0.2.0 · MIT
Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.
v2.0.0 · Apache-2.0
AI 编译纯文本小说工作台 for the dsh web GUI: import a novel outline (docx/text), plan volumes & chapters with LLM, generate chapter by chapter (3000-4000 chars each), auto AI review & book audit, and export the full book as Markdown/TXT into your chosen output fold
— · no license
Opinionated AI agent skills for building applications with MotherDuck
— · MIT
A reliable coding agent for complex software engineering tasks.
v0.0.7 · BSD-3-Clause
Lark/Feishu IM bot channel for DeepSeek Harness | 飞书 DeepSeek Harness (DSH)插件
v0.2.2 · MIT
Branch from any answer and keep branching at any depth. Recursively isolated follow-ups that leave the main DSH task untouched.
v0.3.13 · MIT
Persistent voice conversations for DSH with cloud speech recognition, Edge TTS, and background Agent delegation
v0.52.0 · MIT
Claude Code delegates coding to isolated CLI agents it doesn't trust (Codex, OpenCode, Pi, Pythinker), freezes what they produce, verifies it independently, and merges only what a human approves.
v2.0.0 · no license
AI agent skills for Sealos — deploy any project, provision databases, object storage & more with one command. Works with Claude Code, Gemini CLI, Codex.
— · Apache-2.0
Claude Code scaffolding and first steps for complex brownfield projects
— · MIT
Real-time secret-leak guardrails for AI coding agents (Claude Code, Codex), Git hooks, and CI.
— · Apache-2.0
Moteur de recherche libre sur le droit français et européen — jurisprudence et textes (loi à n'importe quelle date), en web, API et MCP. Free search engine for French case law and legislation.
— · Apache-2.0
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
v0.3.0 · Apache-2.0
Native Rapid-MLX provider for DeepSeek Harness (dsh) — dsh reads model facts from the server instead of your settings.yaml.
v1.2.0 · MIT
SRE thinking applied to Claude Code, based on Boris Cherny's Q&A. It enforces a strict 4-stage pipeline with gates between each step. You literally cannot skip verification. You cannot ship without approval.