Tools

Project tracking for software teams

Atlassian's project management and issue tracking tool powering agile workflows, sprint planning, bug tracking, and deep integration with Bitbucket and Confluence. Supports Scrum and Kanban boards with customizable workflows, automation rules, and advanced reporting. The enterprise standard for engineering teams managing complex software delivery across distributed organizations.

Open-source post-building layer for agents — tracing, evals, and online monitoring

Judgeval is the open-source post-building layer for AI agents from Judgment Labs, providing OpenTelemetry-based tracing, hosted and custom evaluation scorers, and online behavior monitoring for LLM-powered applications. Instrument any function with a single decorator, score live production traffic against faithfulness and instruction-adherence checks, and feed real-world failures back into reinforcement learning or supervised fine-tuning loops.

Cloud-native POSIX filesystem on object storage

JuiceFS is a high-performance distributed POSIX filesystem built on object storage like S3 and metadata engines like Redis or MySQL. It enables seamless data sharing across thousands of clients with low latency and elastic throughput. JuiceFS ships with a Kubernetes CSI driver, Hadoop SDK compatibility, and FUSE mount support for AI training, big data analytics, and shared storage workloads. Apache 2.0 licensed with 13K+ GitHub stars.

Interactive computing notebooks for data science

Jupyter is the open-source interactive computing platform providing notebook interfaces for data science, ML, scientific computing, and education. Notebooks combine live code, equations, visualizations, and narrative text. Supports 40+ languages via kernels including Python, R, Julia, and Scala. JupyterLab provides a modern IDE-like interface. JupyterHub enables multi-user deployments. The standard tool for computational research and data exploration worldwide.

Entity-based synthetic data generation for enterprise

K2view is an enterprise data platform that generates synthetic data using an entity-based micro-database architecture. It ensures referential integrity across complex multi-relational datasets by treating each business entity as a self-contained unit. Used for privacy-compliant test data generation, data masking, and AI training data creation in financial services, telecom, and healthcare industries.

Terminal dashboard for Kubernetes

K9s is an open-source terminal UI with 28K+ GitHub stars for managing Kubernetes clusters interactively. Provides a real-time dashboard with resource navigation, log tailing, shell access to pods, port forwarding, and RBAC visualization — all from the terminal without kubectl commands. Features Vim-style navigation, custom resource views, plugin system, cluster metrics, and multi-cluster support. Dramatically reduces the complexity of daily Kubernetes operations for developers and SREs.

Kubernetes-native model inference platform

KServe is an open-source Kubernetes-native platform for deploying and managing ML model inference at scale. It provides standardized inference protocols, autoscaling including scale-to-zero, canary rollouts, A/B testing, and multi-model serving. KServe supports all major ML frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost, and LLM runtimes like vLLM and Triton through pluggable serving runtimes.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

JavaScript framework for building and visualizing multi-agent workflows on a Kanban board

KaibanJS is an MIT-licensed JavaScript framework for defining AI agents, tasks, tools, and teams, then orchestrating their work through a Kanban-inspired runtime and visual board. It can run inside Node.js, React, or Next.js projects, supports custom UIs and headless workflows, and provides real-time task-state visibility for multi-agent applications.

Deploy web apps anywhere

Zero-downtime deployment tool created by 37signals (Basecamp/HEY) that deploys Docker containers to any VPS or bare metal server over SSH without requiring Kubernetes. Manages rolling deploys, health checks, SSL via Let's Encrypt, container registry, and load balancing with Traefik. Simple YAML-based config. Ideal for small teams deploying Rails, Node.js, or any Dockerized app. Ships as a Ruby gem. 12K+ GitHub stars and a growing alternative to complex container orchestration.

Open-source AIOps alert management platform

Keep is an open-source AIOps platform that provides a single pane of glass for all alerts from monitoring tools like Datadog, PagerDuty, Grafana, and 50+ integrations. It uses AI to correlate, deduplicate, and enrich alerts, reducing noise and helping on-call teams focus on real incidents. Keep includes workflow automation, bidirectional sync with ticketing systems, and a modern web dashboard.

Declarative orchestration for data, AI, and infra

Kestra is an open-source orchestration platform that uses declarative YAML to define event-driven and scheduled workflows for data pipelines, infrastructure automation, and AI workloads. With over 1,200 plugins, it connects to databases, cloud services, APIs, and SaaS tools without custom glue code. Kestra reached version 1.0 LTS with agentic AI capabilities, SDKs for Python, TypeScript, Java, and Go, and SOC 2 compliance. Clients include Leroy Merlin, Huawei, Tencent, and Decathlon.

Control plane for autonomous AI agents

Keycard is the control plane for autonomous agents, providing identity verification, policy enforcement, and scoped access management. Resolves agent identity, enforces security policies, and issues time-limited resource-specific access tokens. Provides full visibility into every agent action with drift detection, automatic remediation, and integrations with Datadog, Linear, GitHub, and other services for agent-driven incident response and security operations.

Open-source AI second brain with deep research and RAG

Khoj is an open-source personal AI app that serves as a self-hostable second brain. It connects to your documents — PDFs, Markdown, Notion, Word — and uses RAG to answer questions grounded in your knowledge base. Supports any local or cloud LLM including Llama, Claude, GPT, and Gemini. Features custom agents, scheduled automations, deep research mode, semantic search, and Obsidian, Emacs, and WhatsApp integrations. Over 33,000 GitHub stars, YC-backed.

Zero-markup credit subscription for 500+ AI models

Flexible AI coding credits: $19/mo ($28.5 in credits), $49/mo ($73.5 in credits), $199/mo ($298.5 in credits). Balance never expires and monthly bonus credits stack over time. Works across multiple AI coding agents and IDEs through a unified billing system, giving developers the freedom to use different tools without managing separate subscriptions.

Budget coding subscription by Moonshot AI

Kimi Coding Plan covers Moonshot AI's consumer subscription tiers and API pricing for accessing Kimi's AI coding capabilities, powered by the Kimi K2.5 model that scores 76.8% on SWE-Bench Verified. Includes a free Adagio tier with unlimited basic conversations, paid Andante and Presto tiers with higher K2.5 quotas, and pay-as-you-go platform API pricing for integrating Kimi into custom workflows.

Auth platform combining authentication, feature flags, and billing

Kinde is a developer-focused authentication platform that bundles user management, feature flags, and billing management into a single service. It provides social login, passwordless auth, MFA, RBAC, and organization management out of the box. SDKs available for Next.js, React, Node, Python, and other frameworks. Free tier supports up to 10,500 monthly active users.

Spec-driven coding subscriptions for Kiro IDE/CLI

Kiro Plans refers to the pricing and subscription structure for AWS's Kiro IDE, ranging from a perpetual free tier to enterprise-grade Power plans with varying levels of AI-assisted requests. Pricing distinguishes between two interaction types: spec requests initiated from structured task workflows, and vibe requests for chat-based coding assistance. Designed to scale from individual developers to professional teams building production software.

MCP integration platform for agent tool use at scale

Klavis AI is an Apache-2.0 MCP integration platform for teams connecting AI agents to external SaaS tools and APIs. The public repo and official docs position it as infrastructure for reliable tool access at scale, so it fits teams that want reusable MCP connectors without treating every integration as a one-off script or custom OAuth maintenance project.

SQL query builder for Node.js

Flexible SQL query builder for Node.js supporting PostgreSQL, MySQL, SQLite, Oracle, and MSSQL. Chainable API for constructing queries with parameterized bindings. Features schema builder, migration system, seed files, transaction support, and connection pooling. Foundation for ORMs like Bookshelf.js and Objection.js. One of the most established query builders in the Node.js ecosystem.

Find unused files, dependencies, and exports in JavaScript and TypeScript projects

Knip is an open-source CLI tool that detects unused files, dependencies, devDependencies, and exports in JavaScript and TypeScript codebases. It analyzes the full dependency graph to identify dead code that accumulates over time — especially relevant for AI-generated codebases where unused artifacts pile up faster than manual cleanup can handle. With over 10,800 GitHub stars, it has become a standard code hygiene tool in the JS/TS ecosystem.

Customer engagement infrastructure for developers

Knock is flexible notification and customer engagement infrastructure built for developers and AI agents. Send messages across email, SMS, push, chat, and in-app channels from a single API. Features AI-native journey building with single-prompt workflows, advanced segmentation with dynamic attributes, in-app messaging with custom components, data unification across warehouse and CDP, and version control with rollbacks. Delivers hundreds of millions of messages monthly with 99.99% uptime.

Terminal AI coding agent with multi-model and AGENTS.md support

Open-source terminal coding agent (npm `@shareai-lab/kode`) that understands your codebase, edits files, and runs commands across 20+ AI models, with native AGENTS.md and legacy `.claude`/`CLAUDE.md` compatibility.

AI documentation for legacy codebases

Kodesage is an AI platform designed for navigating and documenting legacy systems, consolidating knowledge from code, issue tickets, and wikis to generate function-level documentation. It creates AST-based code maps that help teams understand complex 20-year-old codebases in plain English, with on-premises and air-gapped deployment options for high-security enterprise environments.

Kotlin-native AI agent framework by JetBrains with MCP support

Koog is JetBrains official Kotlin-native framework for building predictable, fault-tolerant AI agents. It provides structured agent workflows with MCP protocol support, type-safe tool definitions, and deterministic execution patterns designed for JVM production environments. As the first production-grade Kotlin agent framework, it fills the gap in a JVM ecosystem dominated by Python-based alternatives and integrates naturally with existing Kotlin and Java backend infrastructure.

RAG-based document QA with multi-user support and agent reasoning

Kotaemon is an open-source RAG-powered document question-answering interface backed by Cinnamon AI. It supports multi-user workspaces with access controls, advanced retrieval pipelines including hybrid search and knowledge graph extraction, and agentic reasoning for complex multi-step queries. The web UI handles PDFs, Office documents, and images with citations pointing to exact source passages, making it suitable for both individual research and team knowledge management.

Polyglot document intelligence framework with Rust core

Kreuzberg is a polyglot document intelligence framework with a high-performance Rust core that extracts text, metadata, images, and structured data from 91+ file formats. Available for Python, Ruby, Java, Go, PHP, C#, TypeScript, plus CLI, REST API, and MCP server. Features multiple OCR backends (Tesseract, EasyOCR, PaddleOCR), table extraction with structure preservation, and native async support.

CNCF Sandbox chaos engineering framework for Kubernetes resilience

Krkn is a CNCF Sandbox chaos engineering tool that tests Kubernetes cluster resilience by injecting controlled failures. It simulates pod kills, node failures, network partitions, CPU/memory pressure, and zone outages. Krkn-AI adds AI-powered scenario generation that suggests chaos experiments based on cluster topology. Supports CI/CD integration for automated resilience testing in deployment pipelines.

Kubernetes operator for serving AI inference workloads

KubeAI is an Apache-2.0 Kubernetes operator for deploying and scaling AI inference workloads, including LLMs, embeddings, reranking, and speech-to-text. It gives platform teams OpenAI-compatible endpoints, model proxy/controller primitives, model caching, scale-from-zero behavior, and cluster-native resource management for self-hosted inference on Kubernetes.

Modern application delivery platform for Kubernetes

KubeVela is a CNCF incubating project that provides a modern application delivery platform built on Kubernetes and the Open Application Model. It abstracts away infrastructure complexity by letting developers define applications declaratively with components, traits, and policies, while platform teams manage delivery workflows. KubeVela supports multi-cluster deployment, canary rollouts, GitOps integration, and extensible addon system.

Open-source MLOps platform for Kubernetes

Kubeflow is a CNCF open-source MLOps platform with 14,000+ GitHub stars for deploying and managing machine learning workflows on Kubernetes. It provides notebooks for experimentation, scalable training pipelines with distributed computing support, model serving with autoscaling, and comprehensive pipeline orchestration for teams running AI/ML workloads in cloud-native environments.

Type-safe SQL query builder for TS

Type-safe SQL query builder for TypeScript that provides auto-completion and compile-time type checking without the abstraction overhead of a traditional ORM. Write queries that map directly to SQL while getting full TypeScript inference from your database schema. Supports PostgreSQL, MySQL, and SQLite with migrations, transactions, and raw SQL escape hatches. Lightweight with zero dependencies. Ideal for developers who want SQL control with TypeScript safety. Growing Knex.js alternative.

Quantize and compress LLMs for optimized vLLM deployment

Open-source, Hugging Face-compatible library for quantizing and compressing LLMs (W8A8, W4A16, NVFP4/MXFP4, KV-cache and attention quantization, expert pruning) into vLLM-ready `compressed-tensors` checkpoints.

Input and output security scanners for LLM applications

LLM Guard is an open-source security toolkit by Protect AI that provides 15 input scanners and 20 output scanners to protect LLM applications from prompt injection, PII leakage, toxic content, secrets exposure, and data exfiltration. Each scanner is modular and independent — pick the ones you need, configure thresholds, and chain them into a pipeline. The library works with any LLM and has been downloaded over 2.5 million times. MIT licensed, Python 3.9+.

Reusable KV cache infrastructure for scalable LLM inference

Open-source KV cache management layer that persists, offloads and reuses model key-value caches across requests and serving engines to reduce repeated prefill work and improve inference throughput.

Open-source toolkit for quantizing, deploying, and serving LLMs and vision-language models

LMDeploy is an Apache-2.0 toolkit for self-hosting LLM and vision-language model inference with TurboMind and PyTorch engines. It combines continuous batching, blocked KV cache, tensor parallelism, AWQ and KV-cache quantization with OpenAI-compatible APIs, multi-GPU distribution, offline pipelines, and production metrics.

Open-source multi-type data labeling platform

Label Studio is an open-source data labeling tool by HumanSignal supporting images, text, audio, video, and time series. It offers ML-assisted pre-labeling, customizable XML-based annotation interfaces, multi-user review workflows, and REST API access. Used for computer vision, NLP, speech, and LLM fine-tuning including RLHF annotation pipelines.

Data factory for AI teams and model training

Labelbox is a comprehensive data platform for AI teams handling reinforcement learning, evaluations, robotics, and human feedback workflows. Core capabilities include RL data generation with knowledge work rubrics, custom evaluations for private benchmarks and model comparisons, robotics data with full-stack video and trajectories, and an expert network of 1.5M+ knowledge workers including 50K+ PhDs. Trusted by 80% of leading AI labs for production data operations.

AI security platform for LLM prompt injection protection

Lakera is an AI security platform protecting LLM applications against prompt injection, jailbreaks, data leakage, toxic content, and PII exposure. Lakera Guard provides a real-time API that screens prompts and outputs in under 2ms latency. Trained on the world's largest prompt injection dataset from Gandalf, a public red-teaming game. Deploys as an API proxy or SDK integration with zero model access required. Used by enterprises to secure customer-facing AI applications in production.

GenAI-powered test agent with natural language test authoring

KaneAI is LambdaTest's GenAI-powered test automation agent that creates, evolves, and debugs tests from natural language descriptions. It generates test scripts in multiple frameworks including Selenium, Playwright, and Cypress from plain English instructions. Features intelligent test maintenance that automatically updates tests when application UI changes and two-way editing between natural language and code.

Visual framework for building multi-agent AI apps

LangFlow is an open-source visual framework for building multi-agent AI apps with drag-and-drop. Built on LangChain, it lets developers compose chains, agents, and RAG pipelines by connecting modular components visually. Features real-time interaction, Python customization, one-click deployment, and export to LangChain code. Supports all major LLM providers, vector stores, and tools. With 146K+ GitHub stars, it bridges visual prototyping and production deployment.

Multi-agent programming framework inspired by the Actor model

Langroid is a lightweight Python framework from CMU and UW-Madison researchers for building LLM applications using a multi-agent programming paradigm inspired by the Actor Framework. Agents are first-class citizens that encapsulate LLM state, vector stores, and tools, then collaborate via message passing through hierarchical task delegation. With 3,900+ GitHub stars, Langroid works with any LLM provider and does not depend on LangChain or other frameworks.

Lightning-fast Rust-powered code editor

Lapce is an open-source code editor written in Rust, delivering sub-millisecond response times through native GPU rendering via wgpu. It features modal editing inspired by Vim, built-in LSP support for intelligent code completion, and a WASI-based plugin system supporting Rust, C, and AssemblyScript extensions. Includes integrated remote development over SSH, a built-in terminal, and split-pane layouts. Its rope-based text architecture ensures efficient handling of large codebases.

Sentry-style observability for AI agent conversations

Latitude is an agent observability platform for teams that need to inspect LLM traces, conversations, issues, and evaluation feedback in one workflow. Its public repo and docs position it as a Sentry-style monitor for AI agents, with semantic search, issue detection, annotations, MCP-assisted fixes, and cloud or self-hosted deployment paths for production debugging.

Twelve-lesson curriculum for building AI coding agents from scratch

Learn Claude Code is a comprehensive educational framework with 12 structured lessons teaching AI coding agent construction from first principles. With over 46,000 GitHub stars and 7,000 forks, it provides complete runnable Python implementations progressing from a 50-line bash agent to a 550-line skills agent with modular extensibility and subagent orchestration.

AI copilot for the Lens Kubernetes IDE

Lens Prism is an AI copilot integrated into the Lens Kubernetes IDE (the world's most popular K8s desktop client) that troubleshoots clusters, explains errors in plain English, and helps manage multi-cluster environments visually. It simplifies Kubernetes complexity for developers who prefer visual tools over CLI, providing AI-powered debugging and cluster management within a familiar desktop interface.

Memory-first coding agent that learns over time

Letta Code is a memory-first CLI coding agent that persists across sessions and improves over time. Unlike stateless tools like Claude Code or Codex, it works with long-lived agents remembering your codebase, preferences, and past interactions. Model-agnostic supporting Claude, GPT, Gemini, and more. Features git-backed context repositories, skill learning from experience, sleep-time reflection, and subagent orchestration. #1 model-agnostic OSS harness on Terminal-Bench.

Auto-generate API docs from live production traffic

Levo.ai generates OpenAPI specifications and API documentation automatically from live production traffic using eBPF-based instrumentation. It captures real request/response patterns to create always-accurate API docs that eliminate documentation drift. Features include automated API discovery, security testing of documented endpoints, and Postman collection generation without requiring code changes.