Category

Pi (pi agent harness)

Extensible AI coding-agent toolkit offering a terminal-first coding agent CLI, a unified multi-provider LLM API, TUI and web UI libraries, Slack integration, and vLLM pod support—built to prototype and run agent-driven developer workflows.

OpenAgents Control (OAC)

Wraps the OpenCode CLI with a plan-first workflow: agents propose a plan you approve before any code is written, and a ContextScout step loads your repo's existing patterns so output matches house style, not generic boilerplate.

Spec Kit

Makes the spec an executable artifact: you write intent in structured markdown and AI agents generate the plan, task breakdown, and code from it. A specify CLI and slash commands drive a constitution-plan-tasks-implement workflow across 30+ coding agents.

Beads

Provides a persistent, dependency-aware structured memory for coding agents — replacing scattered markdown plans with a versioned task/issue graph backed by Dolt. Agent-optimized features include JSON output, dependency tracking, zero-conflict IDs, and semantic compaction for long-horizon workflows.

Beads (bd)

A dependency-aware issue tracker for AI coding agents that stores tasks as a version-controlled graph in a Dolt database, so agents keep context across long-horizon work. Content-hash IDs prevent merge conflicts when multiple agents edit in parallel.

React Grab

Capture file/component/HTML context from any React UI element with a keystroke so coding assistants get precise, paste-ready snippets. Works in development mode, offers plugin hooks and MCP integration, and targets faster/more accurate LLM-assisted coding workflows.

Skill Seeker

Turns documentation sites, GitHub repos, PDFs, videos and other sources into ready-to-use skill packs for Claude, Gemini, OpenAI and RAG frameworks like LangChain. Detects conflicts across sources, transcribes video, and exports to 21 formats.

Claude Code Skills & Plugins

Provides 223 production-ready agent skills and plugins plus 298 stdlib Python CLI tools to add domain expertise to coding agents. Includes cross-tool conversion (11 platforms supported), personas, orchestration patterns, and a skill security auditor.

Superset (superset-sh)

Desktop app that runs many CLI coding agents — Claude Code, Codex, Cursor, Gemini — in parallel, each in its own git worktree and branch. A built-in diff viewer, terminal, and PR tracking let you dispatch and review 10+ agents at once.

Letta Code

A stateful agent harness, shipped as a CLI, whose agents keep memory, skills, and prompts across sessions instead of resetting each run. Context is git-versioned via MemFS, and agents can rewrite their own prompts and skills over time.

OpenSkills

Installs Claude Code-format skills into agents without native support — Cursor, Windsurf, Aider, Codex — by writing the same <available_skills> XML into their AGENTS.md. Skills stay plain files, so no MCP server is needed.

AI-DLC (AI-Driven Development Life Cycle) — aidlc-workflows

Provides adaptive workflow steering rules for AI coding agents to guide development across Inception, Construction, and Operations phases. Includes opt-in extensions (security, testing), IDE/agent integrations (Cursor, Kiro, Amazon Q, Copilot, Claude), and human-in-the-loop approval points.