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Streaming Artificially Intelligent Graph Navigator: multi-agent LLM coordination on top of SGN.

Generate agent-friendly Markdown API reference documentation from OpenAPI JSON.

Drive Android emulators/devices and iOS simulators for AI agents: tap, type, swipe, screenshot, and inspect the UI hierarchy by semantic identifiers — like Puppeteer for native apps.

Provider-neutral provenance, taint propagation, instruction/data separation, and sink policy enforcement for AI agents.

Opinionated WhatsApp Cloud API agent framework for Cloudflare Workers — Drizzle-backed stores, D1-coalesced webhook queue, AI assistant integration with pluggable reply enrichment, opt-in CRM, account-link redemption, broadcast cron, sequential drip plans

Predict when production AI agents degrade — before they visibly fail. Python SDK.

Offline integrity checks and non-destructive recovery bundles for Codex rollout JSONL

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Local-first, cross-platform personal AI agent runtime with durable memory, audited tools, browser automation, and explicit security controls.

Consort keeps AI-written code clean and correct: a coordinated ensemble of role agents, spec-first and test-driven, driven by a deterministic state machine against live branches of a real Lakebase database. Engineering discipline is no longer left to the whim of a model. Consort enforces it.

Multi-agent orchestration for Orca, as code — LLM-authored plans that fan out worker agents.