Collection
Open
AI
Updated 19m
Things related to the use of AI (llms mostly)
Collection
Updated 19m
Things related to the use of AI (llms mostly)
Architecture decision record (ADR)
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
MySpec - Spec-Driven Development (SDD) | Clarity Precedes Code
Stop AI code hallucinations in Cursor, Claude Code, and Devin. MySpec interviews you and generates the deterministic 4-file spec bundle (constitution, requirements, solution, tasks) before you write code.
MySpec - Spec-Driven Development (SDD) | Clarity Precedes Code
Stop AI code hallucinations in Cursor, Claude Code, and Devin. MySpec interviews you and generates the deterministic 4-file spec bundle (constitution, requirements, solution, tasks) before you write code.
Mem0 - AI Memory Layer for your Agents & Apps | Persistent Context
Mem0 is the memory layer for AI agents and applications, enabling them to learn from past interactions and deliver personalized experiences.
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
The proliferation of agent frameworks has led to fragmentation in how agents are defined, executed, and evaluated. Existing systems differ in their abstractions, data flow semantics, and tool integrations, making it difficult to share or reproduce workflows. We introduce Open Agent Specification (Agent Spec), a declarative language that defines AI agents and agentic workflows in a way that is compatible across frameworks, promoting reusability, portability and interoperability of AI agents. Agent Spec defines a common set of components, control and data flow semantics, and schemas that allow an agent to be defined once and executed across different runtimes. Agent Spec also introduces a standardized Evaluation harness to assess agent behavior and agentic workflows across runtimes - analogous to how HELM and related harnesses standardized LLM evaluation - so that performance, robustness, and efficiency can be compared consistently across frameworks. We demonstrate this using four distinct runtimes (LangGraph, CrewAI, AutoGen, and WayFlow) evaluated over three different benchmarks (SimpleQA Verified, $τ^2$-Bench and BIRD-SQL). We provide accompanying toolsets: a Python SDK (PyAgentSpec), a reference runtime (WayFlow), and adapters for popular frameworks (e.g., LangGraph, AutoGen, CrewAI). Agent Spec bridges the gap between model-centric and agent-centric standardization & evaluation, laying the groundwork for reliable, reusable, and portable agentic systems.
OpenMetadata: #1 Open Source Context Layer
OpenMetadata is the open-source AI context layer — powered by metadata, semantics, and memory that give people and AI a shared, rich understanding of your data. Built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook. The unified platform for data cataloging, discovery, quality, observability, governance, lineage, collaboration & more.
Quint: executable specifications for reliable systems
Quint is an executable specification language: a modern TLA+ alternative for software engineers. Write specs you can run, simulate, and verify before shipping code.
storytold/craft-anything
Craft Anything: understand how any software works, and craft your own.
Flint: A Visualization Language for the AI Era