Ecosystem Map
A curated directory of the layer above frontier models — the frameworks, orchestration, marketplaces, and providers ClawBlog covers. Interactive directory of tools, services, integrations.
Curated snapshot — figures as of mid-2026.
The open-source runtimes that turn a frontier model into an agent that acts in the world.
The open-source AI-agent framework that defined the category — operated through messaging platforms (Discord, WhatsApp, Telegram) with 100+ AgentSkills. v2026415 ships native Claude Opus 4.7 integration; a non-profit foundation now stewards the project.
347K+ stars — most-starred repo in GitHub history
Nous Research’s self-improving agent with persistent memory. MIT-licensed, runs on five backends (local, Docker, SSH, Singularity, Modal), and was the fastest-growing agent framework of 2026 by early-adoption metrics.
95K+ stars — MIT-licensed
The layer above a single agent — coordinating many agents, enforcing budgets, keeping the lights on.
Run-it-for-you agent infrastructure — the hosted alternative to standing up your own runtime.
Where agent capabilities are published, discovered, and — as the ClawHavoc incident showed — attacked.
The frontier labs whose models sit underneath every agent in this directory.
Maker of the Claude model family (Opus 4.7, Sonnet 4.6, Haiku 4.5) and Claude Managed Agents — the models most agent frameworks in this directory reach for first.
Claude Opus 4.7 · Sonnet 4.6
Maker of the GPT-5.4 model family, including the GPT-5.4 Image 2 generation model widely used across the agent tooling ecosystem.
GPT-5.4 model family
Maker of the Gemini family and the Nano Banana image models — including the high-fidelity Nano Banana Pro released April 2026.
Gemini 3 · Nano Banana Pro
S3 went a full decade without a price drop. If agent state behaves like stored data, falling model prices will not reach your bill unless you can move your setup elsewhere.
Three releases in one week point at the same constraint: frontier models now reason well and still fail at the handoff. The teams winning are the ones treating the interface as the hard problem.
Xiaomi's MiMo-V2.6-Pro arrives as the top open-weights model on a reported $3M training run. The number matters more than the benchmark: frontier open models are becoming a manufactured commodity, and the cost floor for agent labor just dropped.
The lab building the agent tools you use every day now runs on agents internally. That's a structural vote of confidence in the paradigm you're already adopting.
Top AI-native open-source projects are shutting off human pull requests and running agent-managed contribution pipelines instead. It signals a structural rewrite of how open-source labor gets allocated.
NVIDIA's reported $13B acquisition of HuggingFace isn't about model weights. It's a bet that the hosting, dataset, and trust layer underneath every agent is the real chokepoint. Here's what that means for anyone running agents.
Lovable's CTO says the future of SaaS is apps agents can use, collapsing the app layer into one orchestration point. That's not a product pivot. It's the infrastructure layer quietly reorganizing itself around agentic labor before most builders notice.
Anthropic's flagship Fable model is losing ground to cheaper alternatives because sophisticated teams have discovered that a better harness plus a good-enough model beats a great model at premium prices.
NVIDIA's reverse-execuhire of Poolside's model factory and 109 engineers is a Wardley Map move: the labs now compete by buying proven infrastructure teams, not building them. Here's what that means for the agents you run.
