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.
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.
Terminal-based coding agent that reads and edits code, runs shell commands, and fetches web pages while planning multi-step tasks autonomously. A Ctrl-X toggle drops into a raw shell, and ACP support plugs it into Zed and JetBrains IDEs.
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.
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.
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.
Bundles 66 context-activated skills for Claude Code spanning backend, frontend, DevOps, security, and data/ML, loading only the relevant reference per request. A 'Common Ground' step surfaces hidden project assumptions before coding starts.
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.
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.
Visual workspace for managing multiple LLM-powered coding agent sessions and iterating on code, docs, and mockups. Combines WYSIWYG editors, session kanban, task tracking, and git tooling so developers can review, approve, and integrate agent-generated changes.
Collects Claude Code commands, agents, skills and engineering best practices with ready CLAUDE.md templates and orchestration examples. Focuses on reusable agent workflows, hooks, and MCP integrations for productionizing Claude-based coding/automation.
Packages reusable GitHub Copilot building blocks — agents, prompts, instructions, and skills — to make AI-assisted coding repeatable and standards-aligned for a team. Built around an RPI (Research, Plan, Implement) workflow in VS Code.