Orbit Agent
Autonomous research briefs for B2B teams
A weekly AI launch board for agents, developer tools, automation, infrastructure, productivity, and creative AI products with public dofollow profiles.
Launching now
This week's AI products ranked by feature status, verification, and recency
Autonomous research briefs for B2B teams
Version control and QA for production prompts
AI inbox triage for founders and operators
Approved AI products get a shareable profile with category tags, launch context, and a dofollow outbound link.
Founder badges help products point traffic back to their launch profile and build trust from both sides.
Verified revenue, customer, traffic, or manual review labels help serious buyers scan signal faster.
Each hub turns promising AI products into a shortlist by cost, setup, privacy, and production fit.
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.
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 pathAI market signals
May 26 benchmark refresh
69 model rows tracked
Arena snapshot
Source-aware model movement
Launch trust
Profiles, badges, and proof signals
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
MIT · Apache-2.0 · GPL
Local workflows, agent systems, automation, and private deployment options.
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.
Short reads for cost, privacy, setup time, security posture, and where each AI tool breaks.
Ripgrep, uv, and Ruff now have formal AI policies banning autonomous agent contributions. What this means for developers using Cursor, Claude Code, and Copilot.
Read analysisDeepSeek Reasonix is an open-source terminal coding agent engineered around prefix caching — achieving 99.82% cache hits and cutting daily costs from $61 to $12. Here's how it w...
Read analysisOpenAI launched a $4 billion deployment company while Anthropic races to Wall Street. The AI industry has pivoted from building smarter models to getting them to actually work i...
Read analysisThe 12-Factor Agents methodology (21k+ GitHub stars) defines how to build production-grade AI agents. Here's what each factor means and which tools implement them.
Read analysisCoding agents waste up to 98% of their token budget reading files with grep. Here's how purpose-built code search tools like Semble and CocoIndex cut costs and improve accuracy ...
Read analysisAlso available
Use Launches for what is new, then jump into the broader directory for category depth and alternatives.