nowfound

AI · January 9, 2026

Agent-contracts, contract-based LangGraph agents

Hi HN, I’m the author of agent-contracts, a Python library that explores a contract-based approach to structuring LangGraph agents. When building larger LangGraph-based systems, I kept running into the same issues: - node responsibilities becoming implicit - state dependencies spreading across the graph - routing logic getting harder to reason about - refactoring feeling increasingly risky agent-contracts is an attempt to make these boundaries explicit. Each node declares a contract that describes: - which parts of the state it reads and writes - what external services it depends on - when…

Agent-contracts, contract-based LangGraph agents launched on January 9, 2026 with 8 votes, #1,339 of 14,585 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 9% of January 2026

What it does

Build LangGraph agents from contracts—declarative nodes, auto-wired graphs, hybrid rule+LLM routing.

Contract-driven architecture for building LangGraph agents with declarative node definitions, automatic graph construction, and hybrid rule/LLM-based routing. - yatarousan0227/agent-contracts

In the maker’s words, at launch

Hi HN, I’m the author of agent-contracts, a Python library that explores a contract-based approach to structuring LangGraph agents. When building larger LangGraph-based systems, I kept running into the same issues: - node responsibilities becoming implicit - state dependencies spreading across the graph - routing…

Does a similar job

all alternatives →
  • Agency – Unifying human, AI, and other computing systems, in Python2023 · github.com · ▲106

    Hello hackernews! I'm excited to share a new open source python library I just released for creating AI agent-integrated systems. The name is `agency`. It differs from other agent libraries, most importantly in that it's intended to address a distinct part of the overall problem, that of agent integration. It is not an agent toolchain like LangChain and others. `agency` is a framework intended for safely integrating agents with computing systems and humans in a way that all parties can easily understand and communicate with each other. I've spent a lot of time on the readme which contains a…

  • Agents.json – OpenAPI Specification for LLMs2025 · github.com · ▲212

    Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…

  • Freeact – A Lightweight Library for Code-Action Based Agents2025 · github.com · ▲122

    Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths. * Supports dynamic installation and utilization of Python packages at runtime * Agents learn from feedback and store successful code actions as…

  • AgentConnectAug 2026 · agentconnect.md · ▲145

    Tag any agent, wherever work happens.

  • 20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

  • HA
    HyperFlow – A self-improving agent framework built on LangGraphApr 2026 · ▲8

    Hi HN, I am Umer. I recently built an experimental framework called HyperFlow to explore the idea of self-improving AI agents. Usually, when an agent fails a task, we developers step in to manually tweak the prompt or adjust the code logic. I wanted to see if an agent could automate its own improvement loop. Built on LangChain and LangGraph, HyperFlow uses two agents: - A TaskAgent that solves the domain problem. - A MetaAgent that acts as the improver. The MetaAgent looks at the TaskAgent's evaluation logs, rewrites the underlying Python code, tools, and prompt files, and then tests the new…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 17d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 16d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 18d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 20d ago · stillwet.art

  • Onepin▲384

    AI voiceover with every name, price and date said right

    AI · 30d ago · onepin.ai

  • A real-time world model you can explore and change

    AI · 28d ago · world.pixverse.video

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, January 2026

the whole month →
  • IN

    Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc

    AI · Jan 2026 · cannoneyed.com

  • Cowork▲1,088

    Turn Claude into your digital coworker

    AI · Jan 2026 · claude.com

  • DataFast▲867

    Revenue-first analytics

    Growth · Jan 2026 · datafa.st

  • OpenClaw▲836

    The AI that actually does things

    AI · Jan 2026 · openclaw.ai

  • Automatic AI-powered code reviews the moment you open a PR

    Dev tools · Jan 2026 · kilo.ai

  • AI Content Maker, for Social Media Publishing

    AI · Jan 2026 · postsyncer.com