MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.
Single source of truth for AI coding agent configuration — skills, commands and rules shared across OpenCode and Pi.
Project continuity for Claude Code and Codex: a roadmap beside your code, grounded handoffs, and clear task status.
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
AI resume optimization system for Claude Code. Analyzes job postings, ranks requirements by priority, and automatically selects your most relevant achievements. Write your experience once in YAML, generate unlimited tailored PDFs in 60 less than seconds using Tailor
Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.
Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow
A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.
A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Runs on Archon. The app it maintains is a cited RAG chat over YouTube transcripts, live at chat.dynamous.ai.
Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.
A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.
MCP Server Security Standard (MSSS): an open, testable security control standard for certifying MCP servers, with levels, evidence requirements, and reporting schemas.
Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca supervision for Claude Code, Codex, Cursor, Antigravity, and other AI coding agents.
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.
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement. 40 built-in policies, a local dashboard, no account required with a generous free cloud plan
A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.
A reference software factory for Claude Code and Codex
Mention any ACP coding agent from Slack, GitHub, GitLab, Linear, or Lark. OpenTag runs Claude Code, Codex, Cursor and more on your own machine, then replies in-thread with verified, evidence-backed results.
The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.