Autonomous research briefs for B2B teams
Orbit Agent scans public signals, drafts account briefs, and prepares sales teams before high-value calls.
Compare agents, models, MCP, local AI, DevOps, and security by cost, setup, privacy, and production fit.
192+
Developer tools
8
Stack layers
69
Models benchmarked
Live
Research status
Track recent and upcoming launches across agents, developer tools, automation, infrastructure, and productivity AI.
Autonomous research briefs for B2B teams
Orbit Agent scans public signals, drafts account briefs, and prepares sales teams before high-value calls.
Version control and QA for production prompts
PromptOps helps teams test, approve, and monitor prompt changes before they hit production workflows.
AI inbox triage for founders and operators
Inbox Synth clusters messages, detects follow-ups, and drafts concise replies for busy operators.
Stack layers
Each layer gets a focused shortlist, cost notes, deployment shape, and the failure modes to check before rollout.
IDE assistants, autocomplete, refactoring, test generation, and code review.
Autonomous agents that plan, edit, test, and open pull requests.
Frameworks and SDKs for multi-agent workflows, orchestration, state, tools, and evaluation.
Hosted inference, model gateways, latency, cost, context windows, and API ergonomics.
MCP servers, clients, protocol adapters, and integrations that expose real tools to AI systems.
Local and private AI stacks for teams that care about data control and vendor lock-in.
AI-assisted infrastructure automation, CI/CD, observability, and incident response.
Security scanning, agent sandboxing, privacy posture, policy controls, and AI-era AppSec.
Start here
Choose the job first. Then pick the tools that match your workflow, risk tolerance, and budget.
Pick coding assistants, review tools, local LLMs, and agent workflows that fit daily engineering work.
Open pathAssemble a pragmatic stack for prototypes, support automation, internal tools, and product velocity.
Open pathCompare hosted and self-hosted inference by latency, cost, privacy, reliability, and ops burden.
Open pathEvaluate frameworks, MCP support, sandboxing, observability, and production deployment models.
Open pathWhat we test
Ranked by engineers
development
Open-source super agent harness that orchestrates multi-agent workflows with sandboxes, memory, and built-in skills for research and automation.
Best for: Enterprise multi-agent workflows
development
AI-powered code editor with autonomous agents, multi-model support, and Automations for triggering agents via code changes, Slack, or timers.
Best for: Autonomous coding agents
development
Open-source AI coding agent for the terminal, with multi-session workflows and support for many models/providers.
Best for: Terminal-first workflows
writing
Advanced AI assistant focused on safety, accuracy, and nuanced understanding
Best for: Accuracy
automation
Open-source workflow automation with AI agent capabilities
Best for: Open-source lovers
coding
AI pair programmer that suggests code and entire functions in real-time
Best for: GitHub users
development
Blazing-fast AI inference using custom LPU hardware. Run Llama, Mixtral, and other models at 800+ tokens per second.
Best for: Fastest LLM inference available
development
Viral open-source personal AI agent with 368K+ GitHub stars, a local-first gateway, tool calling, skills, and multi-channel messaging.
Best for: OpenClaw search demand
development
Self-improving open-source agent CLI from Nous Research with memory, cron scheduling, tools, skills, MCP, and multi-provider routing.
Best for: Persistent memory
development
Platform for running, fine-tuning, and building with open-source AI models. Fast inference and training.
Best for: Largest open-source model selection
MIT · Apache-2.0 · GPL
Open-source tools worth evaluating for local workflows, agent systems, automation, and private deployments.
Local-first personal AI agent with a gateway, tool calling, multi-channel messaging, skills, cron, and sandbox controls.
Self-hostable workflow automation with native AI nodes, custom code, credential control, and 400+ integrations.
Open-source coding agent for terminal workflows with provider choice and strong developer control.
Self-improving open-source agent CLI from Nous Research with persistent memory, cron, skills, and multi-provider routing.
ByteDance long-horizon SuperAgent harness with sandboxes, memories, tools, skills, subagents, and message gateway.
Python framework for role-based autonomous agent crews and collaborative multi-agent workflows.
Engineering-grade analysis
Short reads for hard choices: cost, privacy, setup time, security posture, and where each tool breaks.
We ran each AI coding assistant through 40 real engineering tasks. Here's what actually broke, what surprised us, and which one ships faster.
Read analysisThree production-ready agent frameworks go head-to-head on setup time, MCP support, sandboxing, and enterprise readiness.
Read analysisWhat you actually pay when you run Llama 4, DeepSeek V4, or Qwen 3.5 on your own infra vs. Groq, Together, and Replicate.
Read analysisBuild a full AI coding workflow without touching OpenAI. Ollama + OpenCode + n8n = complete autonomy.
Read analysisAfter running autonomous agents on real projects for 6 months: the patterns that survive contact with production, and the ones that die in week one.
Read analysisAlso available
The full AI directory is still here. The main focus is now software-team stack research.