Daily AI Implementation Scout Council

Today's ranked top 20

#1

build nowBoth runtimes31 / 35

claude-mem plugin

A plugin that captures everything a coding agent does in a session, compresses it with an AI pass, and injects the relevant parts back into future sessions so the agent remembers what happened last time.

What it does for you: This is the same problem YY's Second Brain already solves by hand: carrying context across sessions instead of starting cold each time. claude-mem does it automatically at the Claude Code session layer, which could sit alongside the existing brain rather than replace it, catching the small working context that never makes it into a brain page.

In practice: Reads as a mature, widely adopted plugin rather than a weekend project: version 13.25.1, Apache 2.0, and already the top mentioned memory plugin in the Awesome Claude Code list.

For: Both runtimes. It hooks into session lifecycle events rather than one API, so it works the same way in Claude Code and in Hermes. The project's own docs list Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot and OpenCode as supported hosts.

Security4

Quality4

Auditability4

Useful to you5

Useful to community5

Buildable now5

Hermes4

Verdict: build now. Directly extends a pattern YY already relies on, installs in one command, and the license and maintenance signals are both strong. Not currently in YY's enabledPlugins list in settings.json, so this would be a new addition.

Install: run /plugin in Claude Code, add thedotmack/claude-mem from the marketplace or run npx claude-mem install, then pick a memory provider. Review before enabling. Copy

Source · 46.1k GitHub stars as of the most recent count, version 13.25.1, Apache 2.0 license, listed in Awesome Claude Code.

#2

test firstBoth runtimes28 / 35

MCP spec 2026-07-28 (stateless core) repo

The newest Model Context Protocol specification. It removes the handshake and session model in favor of a stateless, request and response core, adds multi round trip requests, header based routing, cacheable list results, and hardened authorization.

What it does for you: Any MCP server Axion or Hermes builds or connects to going forward should target this spec. Vendors quoted in the announcement report real gains: one open source client cut its package size about 83 percent and got 25 percent faster after moving to the matching SDK v2, and it removes the infrastructure workaround of holding open sessions.

In practice: Reads as a genuine architecture shift, not a point release, and it has visible buy in from Anthropic, Microsoft Foundry and Netlify in the same announcement.

For: Both runtimes. This is a protocol change, not a library, so it affects any MCP client or server regardless of which runtime calls it, Claude Code or Hermes.

Security4

Quality5

Auditability4

Useful to you4

Useful to community5

Buildable now3

Hermes3

Verdict: test first. Worth validating against any MCP server work Axion does next, but it is new enough, weeks old, that it should be tried on a low stakes server before treating it as the default.

Build #2 MCP spec 2026-07-28 (stateless core): use the ai-implementation-build-intake skill to build this safely. Source: https://blog.modelcontextprotocol.io/posts/2026-07-28/. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Published 2026-07-28, with the accompanying Python SDK v2 described as cutting package size roughly 83 percent and increasing speed roughly 25 percent for one adopter (Manufact's mcp-use).

#3

watchClaude (Axion)28 / 35

Awesome Claude Code repo

A hand curated, actively maintained list of Claude Code skills, agents, status lines, plugins and developer tooling, with a submission and validation pipeline run through GitHub issues.

What it does for you: This is the single most active feed for what the wider Claude Code community is shipping, which is exactly what the plugin scout lens exists to watch. It merges every few days and removes tools that stop working, so it is a cleaner signal than a raw GitHub search.

In practice: The maintainer's own description leans playful, but the curation is disciplined: entries need working links and a validation pass before merge.

For: Claude (Axion). It only curates resources for Claude Code specifically, not a general purpose library.

Security4

Quality4

Auditability5

Useful to you3

Useful to community5

Buildable now5

Hermes2

Verdict: watch. It is a discovery source, not a tool to install or build, so it stays on watch every cycle rather than getting re-scored as new work.

Build #3 Awesome Claude Code: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/hesreallyhim/awesome-claude-code. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 54.2k GitHub stars, 4.7k forks, with two new resource submission issues opened on 2026-09-17 alone (issue 2869, issue 2870).

#4

test firstBoth runtimes27 / 35

DeepEval (Confident AI) repo

An open source LLM evaluation framework: define test cases, run them against a model or agent, and score the output on metrics like correctness, hallucination and relevance.

What it does for you: YY's own memory notes already describe wanting to eval hook-writer output against a weaker model. DeepEval gives that a repeatable harness instead of a one off manual check, and the same harness could grade any future skill before it ships.

In practice: Reads as production grade rather than a research toy, with its own hosted platform (Confident AI) for teams that outgrow the local runner.

For: Both runtimes. It is a plain Python evaluation library that runs in CI or a script, so it works the same whether the agent under test is a Claude Code skill or a Hermes routine.

Security4

Quality4

Auditability4

Useful to you4

Useful to community4

Buildable now4

Hermes3

Verdict: test first. A good fit for formalizing the hook writer eval pattern, but it should be trialed on one skill before adopting it as the house standard for grading skills.

Build #4 DeepEval (Confident AI): use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/confident-ai/deepeval. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 18.3k GitHub stars, described on its own repo as The LLM Evaluation Framework, with a hosted Confident AI companion product.

#5

test firstStandalone tool26 / 35

OpenHands 1.0 repo

An open source autonomous coding agent that just reached its 1.0 release, with production oriented Docker sandboxing, built in security policies, resource limits and a plugin system.

What it does for you: This is a genuine alternative engine for the kind of autonomous coding work Axion already does, useful as a comparison point or a second opinion agent, not a replacement for Claude Code today.

In practice: Feels like the project crossed from research demo to something a team could actually run unattended, which is the whole point of a 1.0 tag.

For: Standalone tool. It ships as its own Docker based agent product with a web UI, not a library that Claude Code or Hermes would import, so it runs alongside them rather than inside them.

Security3

Quality5

Auditability3

Useful to you4

Useful to community5

Buildable now3

Hermes3

Verdict: test first. The security story (Docker sandbox, resource limits) is real, but running an autonomous coding agent unattended is exactly the kind of thing that needs a supervised trial run before it touches anything live.

Build #5 OpenHands 1.0: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/All-Hands-AI/OpenHands. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 88.3k GitHub stars, 11.6k forks, 1.0 release completing roughly 68 percent of SWE-bench Verified tasks.

#6

test firstBoth runtimes26 / 35

browser-use repo

An open source library that lets an LLM agent drive a real browser: click, fill forms, read pages, and act on what it sees, packaged with an installable skill and a Docker option.

What it does for you: YY's own notes flag the Chrome MCP path as flaky for editing Google Sheets and resizing dialogs. browser-use is a candidate second option for exactly that class of click through, form fill work, worth a side by side trial against the current Chrome MCP flow before switching anything over.

In practice: Feels like the most mature open source option in this space, with its own skills folder and first class mentions of Hermes and OpenClaw alongside Claude Code.

For: Both runtimes. It is a Python library that any agent can call as a tool, and its own quickstart explicitly tells you to paste its install prompt into Claude Code, Codex, Hermes or OpenClaw.

Security3

Quality4

Auditability3

Useful to you4

Useful to community5

Buildable now3

Hermes4

Verdict: test first. Directly relevant to a known pain point (Sheets and dialog flakiness), but it needs a controlled trial on a non critical page before it replaces any live workflow.

Build #6 browser-use: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/browser-use/browser-use. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 115k GitHub stars, 12.7k forks, quickstart documentation naming Hermes as a supported host alongside Claude Code, Codex and OpenClaw.

#7

test firstClaude (Axion)25 / 35

Official Claude Code plugin marketplace: typescript-lsp and swift-lsp plugin

Two language server plugins, typescript-lsp and swift-lsp, currently listed in Anthropic's own official Claude Code plugin directory alongside skill-creator.

What it does for you: YY has a growing set of Node based tools, voice-to-content, the video pipeline tool and the UI stack router among them. A proper TypeScript language server plugin gives Claude Code compiler grade type checking on those projects instead of pattern matched guesses.

In practice: Feels early stage: the official plugin list is still short, three entries total, so this is not yet a broad ecosystem, more a foundation being laid.

For: Claude (Axion). These are Claude Code plugin format language servers, specific to that runtime.

Security4

Quality4

Auditability3

Useful to you2

Useful to community4

Buildable now5

Hermes3

Verdict: test first. Directly useful for the Node projects already in the workspace, worth enabling on one project before turning it on everywhere.

Install: run /plugin in Claude Code, open the official marketplace which is added by default, and enable typescript-lsp for the Node projects. Review before enabling. Copy

Source · Official Anthropic managed marketplace at 36.4k GitHub stars, with typescript-lsp, swift-lsp and skill-creator as the current plugin list.

#8

newwatchStandalone tool23 / 35

Devstral Small 2 (24B) repo

An open weight, 24 billion parameter coding model from Mistral, built with All Hands AI, tuned specifically for agentic software engineering tasks on real codebases.

What it does for you: A free, local, fully offline coding model option worth knowing about if YY ever wants a cost free fallback agent or wants to keep a client's code entirely off any API, at the cost of running your own GPU or a 32GB Mac.

In practice: The jump from the original Devstral to Devstral Small 2 is a real generational gain, not a minor bump.

For: Standalone tool. It is a model checkpoint, run through a local inference server like Ollama or vLLM, and swapping the model backend does not touch how Claude Code or Hermes are used day to day.

Security4

Quality4

Auditability3

Useful to you3

Useful to community4

Buildable now3

Hermes2

Verdict: watch. Genuinely capable, but there is no current need to run a local model when Claude Code already covers this work; worth revisiting if API cost or data residency ever becomes a constraint.

Build #8 Devstral Small 2 (24B): use the ai-implementation-build-intake skill to build this safely. Source: https://mistral.ai/news/devstral-2-vibe-cli/. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Devstral Small 2 (24B) scores 68.0 on SWE-bench Verified, up from the original Devstral's 46.8, both under the Apache 2.0 license.

#9

watchBoth runtimes22 / 35

Cognee repo

An open source memory layer for LLM agents that turns raw data into a queryable knowledge graph through an extract, cognify and load pipeline, storing both graph edges and vector embeddings.

What it does for you: This is a more structured alternative to the file based Second Brain YY already runs, with graph relationships instead of markdown links. Interesting to study, but replacing a working brain system with a new backend is a large migration with no evidence the current one is failing.

In practice: Feels genuinely well funded and adopted for a graph memory project, not a hobby repo.

For: Both runtimes. It is a Python memory library with a native LangGraph integration and Model Context Protocol support, so it is reachable from either a Claude Code MCP client or a Hermes routine.

Security3

Quality4

Auditability3

Useful to you3

Useful to community4

Buildable now2

Hermes3

Verdict: watch. A real memory framework worth knowing about, but there is no current problem with the Obsidian based brain that justifies the migration cost.

Build #9 Cognee: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/topoteretes/cognee. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Over 12,000 GitHub stars, 80 plus contributors, a 7.5 million dollar seed round, and more than 70 reported production deployments.

#10

watchBoth runtimes22 / 35

Mem0 repo

A memory layer for AI agents built around a token efficient, single pass extraction and multi signal retrieval algorithm released in April 2026.

What it does for you: Competes with Cognee and claude-mem for the same job: giving an agent durable memory. Its 2026 benchmark numbers are strong, but it solves a problem YY's Second Brain and now claude-mem already cover, so there is no gap for it to fill today.

In practice: The benchmark writeup reads like careful, honest research rather than a marketing number, with the old and new units of measurement explicitly called out as different.

For: Both runtimes. It ships as a drop-in SDK usable from Python or JavaScript, so either a Claude Code skill or a Hermes routine could call it the same way.

Security4

Quality4

Auditability3

Useful to you2

Useful to community4

Buildable now2

Hermes3

Verdict: watch. Strong technically, but redundant with the memory approach already chosen this cycle (claude-mem plus the existing brain), so it is a name to keep on the radar rather than adopt now.

Build #10 Mem0: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/mem0ai/mem0. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 2026 algorithm scores 92.5 on LoCoMo and 94.4 on LongMemEval, averaging about 6,956 tokens per retrieval call, under an Apache 2.0 license.

#11

newwatchStandalone tool21 / 35

Qwen3-Coder-Next repo

An open weight coding model from Alibaba's Qwen team built specifically for coding agents and local development, using a mixture of experts design with 80 billion total parameters but only 3 billion active per token.

What it does for you: Another local, offline coding model option in the same category as Devstral, useful mainly as a cost or data residency fallback rather than a daily driver while Claude Code already handles this work well.

In practice: Impressive that a model this small in active parameters keeps pace with much larger ones on agent centric benchmarks.

For: Standalone tool. It is open weights run through a local inference server, a backend swap rather than something either runtime imports directly.

Security4

Quality4

Auditability3

Useful to you2

Useful to community4

Buildable now2

Hermes2

Verdict: watch. A capable local alternative worth knowing exists, but there is no current gap it fills over the hosted Claude Code workflow already in place.

Build #11 Qwen3-Coder-Next: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/QwenLM/Qwen3-Coder. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 80 billion total parameters with 3 billion active per token, scoring 70.6 on SWE-bench Verified under the SWE-Agent scaffold, released February 2026.

#12

watchStandalone tool20 / 35

Mastra repo

A TypeScript framework for building AI agents, workflows and RAG pipelines, with built in evals, memory, human in the loop steps and support for more than 40 model providers.

What it does for you: Relevant only if YY ever wants to build a standalone Node based agent product from scratch outside Claude Code or Hermes, which is not the current need for any of the active tools.

In practice: Reads as a serious, well resourced framework, not a wrapper library, with its own enterprise tier for advanced features.

For: Standalone tool. It is its own full TypeScript agent runtime with its own workflow and memory primitives, so adopting it means building on Mastra's stack rather than adding a library to Claude Code or Hermes.

Security3

Quality4

Auditability3

Useful to you2

Useful to community4

Buildable now2

Hermes2

Verdict: watch. Solid engineering, but no current project calls for adopting a whole new agent framework rather than extending the existing tools.

Build #12 Mastra: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/mastra-ai/mastra. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 28.1k GitHub stars, dual licensed under Apache 2.0 for the core with a separate enterprise license for the ee directory.

#13

newwatchStandalone tool20 / 35

Project-Zero repo

A C99, zero runtime dependency inference engine, needing only GCC and make, that runs BitNet b1.58 ternary models and standard GGUF models from the same binary with an OpenAI compatible HTTP API.

What it does for you: A niche but genuinely interesting option if YY ever needs LLM inference on very constrained hardware with no Python or dependency stack at all, though that is not a current requirement.

In practice: Feels like a real engineering achievement for its size, tiny codebase, no dependencies, and still faster than the reference implementation it is compared against.

For: Standalone tool. It is a standalone C99 inference binary exposing an OpenAI compatible HTTP API, a backend a runtime can call over HTTP rather than a library either one imports.

Security4

Quality2

Auditability5

Useful to you2

Useful to community3

Buildable now2

Hermes2

Verdict: watch. Impressive and highly auditable given its small codebase, but there is no current hardware constrained deployment on YY's side that needs it.

Build #13 Project-Zero: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/shifulegend/project-zero. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Reports 1.25x to 1.83x speedup over bitnet.cpp in its own benchmarks, and needs only GCC and make with zero runtime dependencies.

#14

watchStandalone tool19 / 35

Microsoft Agent Framework repo

Microsoft's open source SDK and runtime for building and hosting AI agents and multi agent workflows, with a new CodeAct feature that lets a model write one program to call several tools in a single sandboxed run instead of one tool call at a time.

What it does for you: The CodeAct pattern, one script calling multiple tools inside a sandbox instead of many separate tool calls, is worth studying for how Hermes or the night shift queue loop could batch tool calls more efficiently, even without adopting Microsoft's runtime itself.

In practice: Feels like a credible, well funded competitor to LangChain style frameworks rather than a side project.

For: Standalone tool. It is Microsoft's own Python and dotnet orchestration runtime with its own hosting layer, not a library either Claude Code or Hermes would import.

Security3

Quality4

Auditability3

Useful to you2

Useful to community4

Buildable now2

Hermes1

Verdict: watch. The CodeAct pattern is worth studying for design ideas, but the framework itself is a different ecosystem with no direct integration path into Axion or Hermes.

Build #14 Microsoft Agent Framework: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/microsoft/agent-framework. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 13.6k GitHub stars, with CodeAct shipping in the new agent-framework-hyperlight package announced at Microsoft Build 2026.

#15

watchBoth runtimes19 / 35

MCP Registry repo

A community driven registry service for discovering Model Context Protocol servers, currently in an API freeze at version 0.1 while the working group gathers feedback ahead of a general availability release.

What it does for you: Useful the day Axion needs to publish or discover MCP servers at scale, but with the API still pre-GA there is nothing to build against yet beyond watching it mature.

In practice: Feels deliberately cautious: the maintainers are explicitly holding the API stable to let integrators catch up before locking in v1.

For: Both runtimes. It is a discovery service reachable over HTTP by any MCP client, Claude Code or Hermes included.

Security3

Quality3

Auditability3

Useful to you2

Useful to community4

Buildable now2

Hermes2

Verdict: watch. Pre-GA API means there is nothing stable to build on yet; revisit once it reaches general availability.

Build #15 MCP Registry: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/modelcontextprotocol/registry. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 7.3k GitHub stars, with the API entering a freeze at version 0.1 as of the 2025-10-24 update, still short of general availability.

#16

newwatchStandalone tool18 / 35

OpenClaw repo

A free, open source autonomous AI agent that acts through messaging platforms like WhatsApp, Telegram and Slack, built around a Gateway, Brain, Skills, Heartbeat and Memory architecture with version controlled markdown memory files.

What it does for you: Worth tracking because so much of today's tooling, claude-mem and browser-use both, now lists OpenClaw as a supported host alongside Claude Code and Hermes. It is a large, fast growing ecosystem YY does not currently need to join, but should recognize when it comes up.

In practice: The scale is striking for something that started as a side project under the name Warelay less than a year ago.

For: Standalone tool. It is its own independent autonomous agent runtime with a five part architecture, a competing product to Hermes rather than something Hermes would embed.

Security2

Quality4

Auditability2

Useful to you2

Useful to community5

Buildable now2

Hermes1

Verdict: watch. Large and relevant enough to track as an ecosystem, but adopting a second autonomous agent runtime alongside Hermes is a scope decision for YY, not something to do by default.

Build #16 OpenClaw: use the ai-implementation-build-intake skill to build this safely. Source: https://en.wikipedia.org/wiki/OpenClaw. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Stable release 2.0 (v2026.8.1) on 2026-08-30, MIT licensed, reported at over 250,000 GitHub stars as of March 2026 and growing.

#17

watchBoth runtimes18 / 35

AgentOps repo

An observability and monitoring SDK for AI agents that tracks session lifecycles, tool calls and cost, with integrations for CrewAI, Langchain, AutoGen, AG2 and other agent frameworks.

What it does for you: A pattern worth studying for adding cost and call tracking to the night shift queue loop or the Dino Buzz agent, though neither currently runs on a framework AgentOps integrates with out of the box.

In practice: Feels like a straightforward, focused monitoring tool rather than a full platform play.

For: Both runtimes. It is a Python SDK that instruments agent code with decorators, so it can wrap tool calls from either a Claude Code skill or a Hermes routine.

Security3

Quality3

Auditability3

Useful to you2

Useful to community3

Buildable now2

Hermes2

Verdict: watch. The monitoring pattern is useful design inspiration, but none of YY's current autonomous routines run on a framework it directly integrates with.

Build #17 AgentOps: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/AgentOps-AI/agentops. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · MIT licensed, described on its repo as covering CrewAI, Agno, the OpenAI Agents SDK, Langchain, AutoGen, AG2 and CamelAI.

#18

newwatchStandalone tool17 / 35

Vapi plugin

A hosted voice AI platform that orchestrates speech to text, an LLM and text to speech into a real time, sub 700 millisecond voice to voice pipeline over phone, web or SIP, with multi agent squads and vision support.

What it does for you: A possible building block if YY ever wants a live voice agent for something like the S2S podcast intake or a phone based intake flow for MCL, though it is a paid, per minute service, not a free tool.

In practice: Feels built for developers who want control over the voice pipeline rather than a no code chatbot builder.

For: Standalone tool. It is a hosted SaaS voice orchestration platform reached over its own API, not code either runtime imports.

Security2

Quality4

Auditability1

Useful to you3

Useful to community3

Buildable now3

Hermes1

Verdict: watch. Capable and relevant to a possible future voice project, but nothing currently on YY's list calls for a live phone voice agent, and it runs on a metered cost per minute.

Install: sign up at vapi.ai, generate an API key, and connect a phone number or web widget. Review before enabling. Copy

Source · Orchestration priced at 0.05 dollars per minute, with a realistic assembled stack landing between about 0.12 and 0.24 dollars per minute before the language model cost, and 10 concurrent call slots included by default.

#19

newwatchStandalone tool13 / 35

GitHub Copilot App plugin

A standalone desktop app, announced at Microsoft Build 2026, that runs multiple specialized Copilot agents in parallel, each in its own isolated git worktree, with a dashboard called My Work to monitor them all at once.

What it does for you: The one isolated git worktree per agent pattern is worth noting since several of YY's own builds, the Marc media kit and photo-to-poster among them, already live on worktree branches for exactly this kind of isolation. The app itself is a closed competitor, not something to adopt.

In practice: Feels like Microsoft formalizing a pattern power users were already doing by hand with git worktrees.

For: Standalone tool. It is Microsoft's own closed desktop application, not something Claude Code or Hermes could embed or call into.

Security2

Quality3

Auditability1

Useful to you2

Useful to community3

Buildable now1

Hermes1

Verdict: watch. A closed, Microsoft hosted product with no integration path into Axion; useful only as a design reference for the worktree isolation pattern already in use.

Install: download the GitHub Copilot desktop app from github.com/features/copilot and sign in with a Copilot subscription. Review before enabling. Copy

Source · Announced at Microsoft Build 2026 on June 2, 2026, running each parallel agent in its own isolated git worktree.

#20

newwatchStandalone tool12 / 35

Google Antigravity plugin

Google's agent first coding platform, an IDE, CLI and SDK built as a modified fork of VS Code, that delegates coding tasks to autonomous agents powered mainly by Gemini 3.1 Pro and Gemini 3 Flash, with Claude Sonnet 4.6 and Claude Opus 4.6 also supported as model options.

What it does for you: Worth knowing it exists and that it can run Claude models internally, but it is a competing, Google hosted IDE with no path into Axion or Hermes, so this is landscape awareness only.

In practice: Feels like Google's answer to the same agent first IDE trend as GitHub's Copilot App, still in public preview and with some public debate over whether it is a VS Code or a Windsurf fork.

For: Standalone tool. It is Google's own closed, hosted IDE product built around Gemini, not a library or protocol either runtime could adopt.

Security2

Quality3

Auditability1

Useful to you1

Useful to community3

Buildable now1

Hermes1

Verdict: watch. A notable competitor platform, but closed, Google hosted, and not something to build into YY's own stack; kept for landscape awareness.

Install: download Antigravity from antigravity.google and sign in with a Google account. Review before enabling. Copy

Source · Announced November 18, 2025 alongside Gemini 3, released in public preview the same day, free of charge as of the most recent reporting.