File-backed workflow harness for reliable Claude Code and Codex sessions.

Vaultr: AI-native note-taking app compatible with Obsidian. AI agents organize and help you use your notes.

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Writing is thinking! WIT provides skills for scientific thinking and writing!

A thin orchestration dashboard over Claude Code for managing context, automation, and developer headspace. You need tentacles. 🦑

Opinionated AI coding agent and dev environment automation for macOS

✨ AI Coding, Vim Style

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

A CLAUDE.md Generator and Maintenance tool for for Claude Code to create high-quality CLAUDE.md instruction files — aligned with Anthropic’s best practices for Claude Code.

Open-source desktop AI agent that gets work done — plans & self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in one self-hostable stack.

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more — built for next gen apps

Jira toolkit for terminals, coding assistants, and bots.

One capabilities.yaml wires skills, tools, rules, sub-agents, MCP servers, and plugins into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 30+ other AI coding agents

Your durable workspace across AI agents.

MCP Deep Research Server using Gemini creating a Research AI Agent

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Governance standard and reference toolset for LLM-maintained knowledge corpora

A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

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.

Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

VexJoy AI Agent with Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.