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Collects metrics, distributed traces, and continuous profiles via eBPF with zero code instrumentation, covering apps in any language plus gateways, service meshes, databases, and queues. Profiling adds under 1% overhead.
Bundles a dataset, an interaction harness, and rubric-based reward functions into one RL environment for training and evaluating LLMs — also usable as an eval, synthetic-data pipeline, or agent harness for any OpenAI-compatible endpoint.
Provides 5 million instruction–response pairs for supervised fine-tuning of code LLMs, with inputs, outputs, unit tests, and automated LLM judgments. Uses hybrid automated/synthetic generation and is released under CC BY 4.0 for large-scale SFT workflows.
Provides a community-curated database of AI model metadata—specs, pricing, and capabilities—and exposes it via a JSON API and a TOML-based contributor workflow for programmatic lookup and integration.
Wraps the OpenCode CLI with a plan-first workflow: agents propose a plan you approve before any code is written, and a ContextScout step loads your repo's existing patterns so output matches house style, not generic boilerplate.
Desktop app that runs many CLI coding agents — Claude Code, Codex, Cursor, Gemini — in parallel, each in its own git worktree and branch. A built-in diff viewer, terminal, and PR tracking let you dispatch and review 10+ agents at once.
Curated index of 1,100+ official and community Agent Skills for extending AI agents across platforms — Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and more. Focuses on hand-picked, engineering-authored skills, organized by vendor, paths, and quality guidance.
Runs several AI coding agents — Claude Code, Codex, OpenCode — in parallel from one keyboard-driven desktop app, each on its own Git worktree. Playbooks batch markdown checklists, group chat coordinates agents, and a web server enables remote control.
A configuration layer for the OpenCode and Codex CLI coding agents. One install adds specialized sub-agents, lifecycle hooks, and bundled MCP servers — web search, docs lookup, code search — turning a bare agent into a harness for large codebases.
Orchestrates multi-model LLM agents and developer workflows as an OpenCode plugin — runs background specialists, LSP/AST-aware refactors, hash-anchored edits, and built-in MCPs. Designed for agent-driven code automation and multi-model orchestration.
Drives AI coding agents through a five-phase loop — discuss, plan, execute, verify, ship — offloading heavy work to fresh-context subagents to fight context rot. The main session stays lean while parallel waves do the building.
Run official Claude Code/Codex/Gemini/OpenCode coding sessions locally and control them remotely via Web/PWA/Telegram — local-first workflow with seamless handoff between local and remote, AFK approvals from phone, voice assistant, and multi-agent CLI support.