AI stack intelligencefor software teams.
Skip generic AI lists. 192+ developer-relevant tools mapped by stack layer: coding, agents, frameworks, LLM APIs, MCP, self-hosted infra, DevOps, and security.
192+
Developer tools
8
Stack layers
55
Models benchmarked
Live
Updated weekly
Stack layers
Map the stack before you buy
Each hub answers the questions engineers actually ask: what it replaces, how it deploys, what it costs, and where it breaks.
AI Coding
17IDE assistants, autocomplete, refactoring, test generation, and code review.
Coding Agents
19Autonomous agents that plan, edit, test, and open pull requests.
Agent Frameworks
14Frameworks for multi-agent workflows, orchestration, memory, tools, and evaluation.
LLM APIs
33Hosted inference, model gateways, latency, cost, context windows, and API ergonomics.
MCP Tools
9MCP servers, clients, gateways, and integrations that connect agents to real systems.
Self-Hosted
12Local and private AI stacks for teams that care about data control and vendor lock-in.
AI DevOps
64AI-assisted infrastructure automation, CI/CD, observability, and incident response.
AI Security
16Security scanning, agent sandboxing, privacy posture, policy controls, and AI-era AppSec.
Start here
Choose by engineering job, not category name
The fastest path depends on whether you are improving daily coding, building agents, owning infra, or trying to ship a product faster.
Software Engineers
Pick coding assistants, review tools, local LLMs, and agent workflows that fit daily engineering work.
Open pathFounders and Builders
Assemble a pragmatic stack for prototypes, support automation, internal tools, and product velocity.
Open pathInfra Teams
Compare hosted and self-hosted inference by latency, cost, privacy, reliability, and ops burden.
Open pathAgent Builders
Evaluate frameworks, MCP support, sandboxing, observability, and production deployment models.
Open pathWhat we test
Trust signals for production AI stacks
Ranked by engineers
Top tools for your stack
DeerFlow
Open-source super agent harness that orchestrates multi-agent workflows with sandboxes, memory, and built-in skills for research and automation.
Cursor
AI-powered code editor with autonomous agents, multi-model support, and Automations for triggering agents via code changes, Slack, or timers.
OpenCode
Open-source AI coding agent for the terminal, with multi-session workflows and support for many models/providers.
Claude Pro
Advanced AI assistant focused on safety, accuracy, and nuanced understanding
n8n
Open-source workflow automation with AI agent capabilities
GitHub Copilot
AI pair programmer that suggests code and entire functions in real-time
Groq
Blazing-fast AI inference using custom LPU hardware. Run Llama, Mixtral, and other models at 800+ tokens per second.
OpenClaw
Viral open-source personal AI agent with 368K+ GitHub stars, a local-first gateway, tool calling, skills, and multi-channel messaging.
Hermes Agent
Self-improving open-source agent CLI from Nous Research with memory, cron scheduling, tools, skills, MCP, and multi-provider routing.
Together AI
Platform for running, fine-tuning, and building with open-source AI models. Fast inference and training.
MIT · Apache-2.0 · GPL
Open source repos that ship
Not GitHub stars inflation. These repos run in production. Each has a full NeuralStackly listing with benchmarks.
OpenClaw
MITLocal-first personal AI agent with a gateway, tool calling, multi-channel messaging, skills, cron, and sandbox controls.
n8n
Source-availableSelf-hostable workflow automation with native AI nodes, custom code, credential control, and 400+ integrations.
OpenCode
MITOpen-source coding agent for terminal workflows with provider choice and strong developer control.
Hermes Agent
MITSelf-improving open-source agent CLI from Nous Research with persistent memory, cron, skills, and multi-provider routing.
DeerFlow
MITByteDance long-horizon SuperAgent harness with sandboxes, memories, tools, skills, subagents, and message gateway.
CrewAI
MITPython framework for role-based autonomous agent crews and collaborative multi-agent workflows.
Engineering-grade analysis
Comparisons & benchmarks
Not marketing copy. Real tasks, real results, real numbers.
Cursor vs GitHub Copilot vs OpenCode — 2026 Developer Benchmark
We ran each AI coding assistant through 40 real engineering tasks. Here's what actually broke, what surprised us, and which one ships faster.
OpenClaw vs CrewAI vs DeerFlow — Agent Framework Showdown
Three production-ready agent frameworks go head-to-head on setup time, MCP support, sandboxing, and enterprise readiness.
Hosted vs Self-Hosted LLMs — Real Cost Analysis for Engineering Teams
What you actually pay when you run Llama 4, DeepSeek V4, or Qwen 3.5 on your own infra vs. Groq, Together, and Replicate.
The Local-First AI Stack — No API Keys Required
Build a full AI coding workflow without touching OpenAI. Ollama + OpenCode + n8n = complete autonomy.
AI Agents in Production — What Actually Works
After running autonomous agents on real projects for 6 months: the patterns that survive contact with production, and the ones that die in week one.
Also available
General AI Tools
Writing, design, marketing, and productivity tools remain indexed, but NeuralStackly now prioritizes software-team stack research.