AI Workflows

OKF (Open Knowledge Format) v0.2 is the fastest-growing agent memory standard in 2026 with 597 GitHub stars in its first week. It implements git-native persistent memory with sub-300us BM25 search -- letting AI coding agents retain context across sessions, branches, and team members without a vector database.

Obra Superpowers has exploded to 285K GitHub stars by rethinking how AI agents collaborate on software — not as monolithic coding tools but as a skills-driven ecosystem of specialized sub-agents. This guide builds a production LangGraph workflow that mirrors the Obra methodology: orchestrating planning, coding, reviewing, and testing agents with failover, memory, and self-healing loops.

Build a peerd browser-based AI agent harness where agents run entirely in-browser using WebGPU-accelerated local LLMs. LangGraph orchestrates agent state with IndexedDB persistence, zero server backend required.

Build a SimCity agent workflow where AI agents play simulation games through a REST API. LangGraph orchestrates autonomous city-building, resource management, disaster response, and economic optimization — all through structured agent tool calls to a game API.

Build a deterministic agent testing workflow using Spec27 spec-driven validation and LangGraph. Achieve 42% lower defect rates in production AI agents with property-based testing, automated evaluation harnesses, and regression guardrails.

Build a memory-aware agent workflow for Cursor IDE using MCP preferences to persist coding preferences, project conventions, and learned developer patterns across sessions. Inspired by Cursor's 109-point HN-released MCP memory feature.

Build a multi-agent orchestration hub where every agent registers as an MCP server. LangGraph discovers agents via MCP protocol handshakes, routes tool calls between agents, and enables deterministic inter-agent communication without custom integration code.

OneCLI's 88-point YC S26 sandboxed agent harness keeps SSH keys, API tokens, and DB credentials out of AI tool contexts. Build the full credential gateway: secret scanner, Docker sandbox, and team allowlist config.

Needle2's 537-point 14MB agentic LLM brings task planning and tool calling to phones, wearables, smart homes and robots. This guide builds the complete on-device workflow: quantized core, 256KB persistent memory loop, and confidence-based cloud escalation.

Rowboat's 219-point local-first agent runtime stores every prompt, tool call, and session in local SQLite with Git-style branching. This guide builds the session DAG, MCP tool router, and privacy-first configuration.

Fast-Agent is a zero-config, drop-in framework for composing MCP-enabled agent workflows in minutes. This guide builds a LangGraph pipeline that auto-discovers tools, negotiates schemas across servers, and routes tasks via a dynamic planner.

Muse Glimmer 30B — the 1,209-HN-point open-weight model engineered for always-on local agent inference. This guide builds a LangGraph workflow that runs entirely on commodity hardware with sub-500ms first-token latency.