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
Modal's CTO says the old infra stack worked because humans could fill in missing context in their heads. Agents can't. That single admission is forcing a redesign of every dashboard, error message, and config layer in the agent stack.
Vercel's Chief of Software says the company is turning itself into an agent. That inversion, from selling agent tools to reorganizing around autonomous software, is the signal the category just went structural.
Warp went from Rust terminal to coding-agent CLI to 'software factory' platform. The move signals agent infrastructure is consolidating around the execution layer, not the model, and daily agent users are the ones about to get absorbed.
OpenAI's internal Codex usage grew 56x in Research and 32x in Customer Support since November 2025, while Engineering grew 27x. The departments that scaled fastest weren't the ones best suited to automation. They were the ones that solved deployment first.
Frontier labs are converging on a new abstraction layer that sits above coding agents. Databricks calls its version Omnigent. The shift from model-centric to integration-centric competition is now visible in the wild.
Mastra's latest release restores agent state without re-reading the whole conversation. The fix exposes a cost problem most agent users never knew they were paying: every resumed thread re-bills the entire history.
When Python packages can be published straight to the browser, the agent runtime stops being a server problem. Two shipping releases this week say the harness is moving client-side.
Apple licensed a Gemini-derived model and pointed vision LLMs at the screen instead of building an integration layer. That single choice sidesteps the harness problem every rival agent has been paying down by hand.
Browser-Use's 0.13.0 rewrite ditched the browser abstractions everyone assumed agents needed. Read against Apple's Siri, Claude Code's safe-mode, and the new code-quality benchmarks, it's a signal about where agent value is migrating.
