Outcome driven agent development framework and runtime harness
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.
Evolvable, distributed agent framework & harness for data science.
A ReAct-Based Highly Robust Autonomous Agent Framework.
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.
Context engineering for coding agents - CLAUDE.md templates, mechanical enforcement, and a field guide to 20+ best practices. Bootstrap with one command.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Open-source enterprise AI workforce platform — containerized roles, declarative skills, MCP tools, policy-driven security, K8s-native scheduling
Claude Code 的 CLAUDE.md、Skills 與 Subagents 學習資源與最佳實踐整理。 本倉庫彙整自 Anthropic 官方文件、社群文章與熱門 GitHub 儲存庫，聚焦於實務上可直接採用的設計模式、工作流程與範例。內容主要是學習整理與資源 整編，並非原創研究。
TCP/IP for Agents
A cloud-based kanban tool for managing fully containerized coding agents that run 24/7 to handle assigned issues.
Developer-first Python framework for AI agents with built-in budget control, context, memory and observability.
Your coding agent forgets everything between sessions. Lore fixes that.
Mexus is a local web console for managing multiple CLI AI Agent instances in parallel.
Harness Engineering playbook — deterministic smoke/test/lint harness commands, strict architecture boundaries, entropy-control checks for autonomous agent workflows.
An open standard for packaging task context that AI agents can understand.
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