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
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.
Stripe's reported $7B move for OpenRouter and Glean's routing-heavy enterprise business point to the same shift: the frontier model is becoming a commodity input, and routing is the layer that decides your agent's real behavior.
Qwen 3.8 27B is an open-weight vision model that fits on a decent laptop and outperforms its closed predecessor. The catch: its default reasoning behavior is tuned for benchmarks, not for the fast, focused decisions an agent needs.
A consumer coding agent, an open-source harness, and a frontier model's reasoning shipped as a dataset all landed in one week. The consensus says agents are converging. The evidence says they're fragmenting.
Muse Glimmer is a 30B open-weights model under Apache 2.0 that runs agent tool-calls locally. That resets who can build and run personal agents without renting a frontier API.
A 304B open-weight model now outranks a 428B competitor at $0.14 per million input tokens. For agent operators, cheap-but-capable reasoning changes the deployment math.
Agent coverage fixates on consumer tools and coding assistants. The quieter story: financial services is where autonomous agents pay for themselves fastest, and it's reshaping vendor priorities across the category.
Ethan Mollick's guide to which AI to use went from a chat-model beauty contest to a list of agentic work platforms in a year. The vendor now missing from it tells you where the market actually moved.
