agent-workflows

A Python library that transpiles stateful imperative LLM workflows into optimizable DSPy programs, with typed outputs, self-correction loops, validation reporting, and prompt tuning support.

NILScript is an open standard and CLI toolkit for letting AI agents act on real systems through a gated propose → approve → commit → rollback flow. The page shows a live playground, quickstart commands, and benchmark claims around unauthorized writes.

A Vercel article showing how to use GPT-6 Sol with the AI SDK evaluation API to assess draft replies, score evidence-based answers, and read structured results in TypeScript.

Open standard for product intent and evidence in AI agent-led software work. The repo includes a spec, parser/CLI tools, MCP server support, and loadable agent skills for writing, validating, and reconciling Product Specs.

Codecut is a CLI for keeping coding agents on track by turning project rules into automatic checks. It flags issues like missing tests, failing test output, temporary agent comments, long code comments, and large changes that need an explanation, then explains what to fix.

TaskFuel lets AI agents discover and pay for third-party tools from a single prepaid balance, with the provider, price, and result shown in one flow.

Workplane lets users publish Markdown, HTML, PDFs, and screenshots as shareable pages for humans and agents, with comments, versioning, and MCP-based publishing from AI tools.

Command Center is a local AI coding environment focused on helping developers run multiple coding agents, review large diffs, and turn AI-generated edits into cleaner, production-ready code.

Single-binary viewer for HTML reports generated by AI agents, with local browsing, live previews, search, and shareable links.

OpenAI-compatible LLM API with a flat $6/month plan, unlimited tokens, and no prompt storage. It’s aimed at developers running coding agents, automation, and other high-volume workflows.

taste-ai is a command-line tool that compresses project context for AI agents and learns coding patterns from session logs, git history, and prompts. The README shows install steps, a quick start, command examples, and a workflow for generating compact session context and updating pattern files.

Conveyor is a software factory for agent-written code. It queues work from requirements, system design docs, and decisions, then lets operators confirm plans while local agents implement and review changes with traceable lineage.

A community site for sharing and comparing AI work setups, with example profiles showing how builders use tools like Claude Code, subagents, model routing, and guardrails.

A research-style blog post comparing grep with LSP-backed navigation in coding-agent workflows, showing how tool interface shape affects agent behavior and task success.