Daily AI Implementation Scout Council

Today's ranked top 20

#1

newbuild nowClaude (Axion)32 / 35

garrytan/gstack skill

89,700-star, 14,000-fork MIT skill set for Claude Code with 23 named-persona roles: CEO, Designer, Engineering Manager, QA, Security Engineer, Release Engineer, and 17 others. Drop any file into .claude/skills/ and Claude Code discovers it at session start.

What it does for you: YY can install one skill file per role and invoke any of the 23 business functions without writing a custom prompt each time. The Security Engineer and QA Engineer roles are directly useful for Axion agent code review. The CEO and Product Manager roles support framing and prioritisation work without switching tools.

In practice: Polished, practical, and immediately usable. Largest public Claude Code skill set by stars. MIT license, no vendor lock-in.

For: Claude (Axion). Skill files activate inside Claude Code sessions; headless Hermes does not auto-discover user-scope skill files.

Security4

Quality5

Auditability5

Useful to you5

Useful to community5

Buildable now5

Hermes3

Verdict: build now. 23 ready-made professional roles, MIT, drop-in install, largest public Claude Code skill repo. A one-afternoon adoption gives YY instant role coverage across every business function he touches. Not in YY's current enabledPlugins list: install by copying skill files to AXION/Skills/gstack and symlinking into .claude/skills/.

Build #1 garrytan/gstack: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/garrytan/gstack. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 89,700 stars, 14,000 forks on GitHub as of 2026-08-15. MIT license confirmed. 23 skill files present in repository root.

#2

newbuild nowClaude (Axion)32 / 35

Claude Code Self-Hosted Sessions (Enterprise Beta) repo

Claude Code Enterprise beta launched August 13, 2026, offering two self-hosted runner modes: a fixed always-on runner on an organisation-owned machine and an on-demand runner that spins up per session. Files and execution stay on the organisation network; only prompts and results travel to Anthropic.

What it does for you: Axion runs sensitive MCL and client data through Hermes. Self-hosted runners let YY keep that data entirely on the Axion box or a corporate server, meeting client confidentiality requirements without switching AI providers. The on-demand mode means no idle cloud spend. This unlocks Claude Code for regulated or sensitive workloads YY currently routes around.

In practice: Enterprise-grade feature that turns Claude Code from a cloud dependency into an on-premise tool. Significant trust and compliance unlock for client work.

For: Claude (Axion). Enterprise beta feature; sessions orchestrated from Anthropic infrastructure but computation runs on a self-hosted runner on the operator network.

Security5

Quality4

Auditability5

Useful to you5

Useful to community4

Buildable now5

Hermes4

Verdict: build now. Resolves the data-residency blocker for client work on Axion. The fixed runner mode requires only a config change; no new infrastructure. August 13 beta: eligibility tied to Enterprise account status. Pairing with the Compliance API (rank 10) gives full auditability on day one.

Build #2 Claude Code Self-Hosted Sessions: use the ai-implementation-build-intake skill to build this safely. Source: https://claude.com/blog/run-claude-code-sessions-on-your-own-compute. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Announced August 13, 2026 via Anthropic blog. Two runner modes documented: fixed and on-demand. Enterprise beta requires Claude for Enterprise subscription. On-demand mode cold-start measured at under 4 seconds in Anthropic beta documentation.

#3

newtest firstBoth runtimes30 / 35

anthropic-sdk-python v0.122.0 repo

Anthropic Python SDK v0.122.0, released August 13, 2026. Adds typed streaming helpers for Claude Agent SDK tool use (TypedComputerUse, TypedBashTool), updated beta APIs for self-hosted runner session attachment, and typed access to compliance log endpoints.

What it does for you: Every Hermes script calling the Anthropic API should pin this version to get typed tool-use streaming without workaround dict access. The self-hosted runner attachment API lets Hermes scripts programmatically register an on-demand runner session, tying directly to rank 2. Typed streaming helpers eliminate a class of silent bugs in agent tool-use loops where field names change silently.

In practice: Routine SDK release but load-bearing: typed streaming helpers and self-hosted runner attachment are the infrastructure glue for the two build-now items above.

For: Both runtimes. Python library used by both Claude Code skills and Hermes scripts; version-pinned separately in each runtime.

Security5

Quality5

Auditability5

Useful to you4

Useful to community4

Buildable now4

Hermes3

Verdict: test first. Typed streaming helpers are production-useful but the beta runner-attachment and compliance-log APIs may require Enterprise account access. Test in a staging Hermes script before updating pinned requirements across all Axion automations.

Build #3 anthropic-sdk-python v0.122.0: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/anthropics/anthropic-sdk-python/releases/tag/v0.122.0. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · v0.122.0 released August 13, 2026 on PyPI. Changelog lists TypedComputerUse streaming and self-hosted runner attachment helpers. Previous pinned version in registry was v0.121.0 (last seen 2026-08-10).

#4

newtest firstClaude (Axion)29 / 35

anthropics/launch-your-agent skill

Anthropic-published skill for taking a founder from idea to a running Claude Managed Agent in one session. The skill runs a structured interview, drafts an agent spec, generates the skill file and schedule config, registers the agent in the user's Anthropic account, and deploys a v0. A built-in grader and iterate loop rounds out the session.

What it does for you: YY already builds Hermes agents manually over 2 to 4 hours. This skill condenses that process to a single guided Claude Code session. The grader and iterate loop means the first deployed v0 can be improved in the same session without switching to a separate eval tool. Particularly useful for quickly deploying net-new Axion routines.

In practice: First-party Anthropic skill targeting exactly YY's core Hermes-building workflow. The structured grader loop is a differentiator over ad-hoc agent scaffolding.

For: Claude (Axion). Skill that runs inside a Claude Code or Managed Agent session to interview the user, scope a v0 agent, configure it in the Anthropic account, and deploy it. Requires interactive input; cannot run headless.

Security5

Quality4

Auditability5

Useful to you5

Useful to community3

Buildable now4

Hermes3

Verdict: test first. First-party skill with a grader loop; test on a low-stakes new Axion routine before using it to deploy production agents, since the automated account-registration step is irreversible without a manual delete. Not in YY's current enabledPlugins list.

Build #4 anthropics/launch-your-agent: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/anthropics/launch-your-agent. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Published by anthropics GitHub org, August 2026. Skill runs interview, spec, deploy, and grade loop in one session. Grader loop documented with sample output in repo README. Confirmed not in seen registry as of 2026-08-15.

#5

test firstBoth runtimes29 / 35

infiniflow/ragflow repo

88,200-star Apache-2.0 RAG engine, now at v0.17 with two significant additions since last scouted 2026-07-06: a browser agent component that ingests documents directly from URLs without file upload, and AHC mode (Psi-RAG) which combines document chunking with autonomous hypothesis chains for multi-hop reasoning over large knowledge bases.

What it does for you: The browser agent component means YY can point RAGflow at MCL website pages or GHL knowledge bases and ingest them without manual export and upload. Psi-RAG AHC mode makes RAGflow competitive with specialist research agent pipelines for multi-step knowledge retrieval over the YY-2nd Brain corpus, at no additional tooling cost.

In practice: Substantial 40-day capability jump. Browser ingest removes the biggest friction point in RAGflow adoption for Axion.

For: Both runtimes. Python-based RAG server with a REST API; accessible from both Claude Code agent scripts and Hermes API calls.

Security3

Quality4

Auditability5

Useful to you5

Useful to community5

Buildable now4

Hermes3

Verdict: test first. Re-listed for material updates at 40-day gap. Browser agent component directly removes the manual export step that blocked adoption on 2026-07-06. Test Psi-RAG against a YY-2nd Brain corpus sample before committing to the data pipeline.

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

Source · 88,200 GitHub stars as of 2026-08-15. v0.17 released August 2026. Browser agent component and Psi-RAG AHC mode both confirmed added since 2026-07-06. Apache-2.0 license. First scouted 2026-07-06.

#6

newtest firstBoth runtimes28 / 35

strands-agents/harness-sdk repo

6,700-star, 990-fork Apache-2.0 production agent SDK from AWS Strands, shipped as separate Python and TypeScript packages. Model-agnostic: supports Claude, Bedrock, LiteLLM, and local models. MCP built-in, tool registry, loop supervisor, and human-in-the-loop hooks included.

What it does for you: Harness gives Axion a battle-tested agent loop framework with MCP already wired, without requiring a move to Bedrock. The loop supervisor and human-in-the-loop hooks are the missing infrastructure between YY's current ad-hoc agent scripts and a production-grade Hermes fleet.

In practice: AWS-backed, production-grade, and not Bedrock-locked. The loop supervisor and human-in-the-loop hooks address real Axion gaps without requiring a platform migration.

For: Both runtimes. Python and TypeScript packages; works in Claude Code scripts and Hermes automation; model-agnostic so Axion can use Claude models without hard dependency on AWS Bedrock.

Security4

Quality4

Auditability5

Useful to you4

Useful to community3

Buildable now4

Hermes4

Verdict: test first. Strong AWS pedigree and production-grade loop supervisor. Test against one existing Hermes script to validate the model-agnostic layer works cleanly with Claude 3.7 before adopting as the standard Axion agent loop.

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

Source · 6,700 stars, 990 forks on GitHub as of 2026-08-15. Apache-2.0 license. Python 3.10-plus and TypeScript 5.x packages. MCP integration tested in AWS labs. 204 merged pull requests in 2026.

#7

newtest firstBoth runtimes27 / 35

strands-agents/evals repo

176-star, 53-fork Apache-2.0 agent evaluation harness from AWS Strands. Includes chaos testing (random tool failures, latency injection), adversarial red-team prompts, goal-completion graders, and structured result export. 204 commits, actively maintained alongside the harness-sdk.

What it does for you: Axion has no automated eval harness for Hermes agents. Strands Evals can run a nightly regression suite against any Hermes agent: inject random tool timeouts, fire adversarial prompts, and grade whether the agent completed its stated goal. This is the missing quality gate before deploying new Hermes routines.

In practice: Compact and focused. The chaos testing module is the standout feature: real agent reliability depends on tool failure handling, which no other eval kit in this scout tests by default.

For: Both runtimes. Apache-2.0 Python eval harness; runs in Claude Code for interactive eval sessions and in Hermes for nightly regression runs.

Security4

Quality4

Auditability5

Useful to you4

Useful to community2

Buildable now4

Hermes4

Verdict: test first. Chaos testing and adversarial red-team harness directly address the Axion gap of zero automated agent quality gates. 176 stars reflects early stage but the AWS Strands team maintains it alongside harness-sdk (rank 6), giving confidence it will stay current.

Build #7 strands-agents/evals: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/strands-agents/evals. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 176 stars, 53 forks, 204 commits as of 2026-08-15. Apache-2.0 license. From AWS Strands org, same maintainers as harness-sdk. Chaos and adversarial modules both present in repository as of August 2026.

#8

newtest firstClaude (Axion)27 / 35

nvidia/skills skill

2,800-star collection of 110-plus verified agent skill files covering NVIDIA domains: CUDA optimisation, Physical AI robotics, RAG pipeline design, NeMo model fine-tuning, and Triton inference server configuration. Each is a Claude Code skill file installable into .claude/skills/.

What it does for you: The RAG pipeline design and NeMo skills are directly applicable to YY's RAGflow and knowledge-base work without NVIDIA hardware. Installing the RAG and knowledge-graph subset gives YY battle-tested NVIDIA-authored prompts for knowledge infrastructure decisions. Not in YY's current enabledPlugins list: install selected skill files to AXION/Skills/nvidia-skills-rag-subset.

In practice: Curated first-party NVIDIA skill files. Quality is high for the RAG subset. The Physical AI and robotics skills are irrelevant to Axion but do not hurt.

For: Claude (Axion). Claude Code skill files targeting CUDA, Physical AI, and RAG patterns; the CUDA-specific skills require NVIDIA hardware context but the RAG and knowledge-graph skills run in any Claude Code session.

Security4

Quality4

Auditability5

Useful to you3

Useful to community4

Buildable now4

Hermes3

Verdict: test first. Install the RAG and knowledge-base skill subset only; skip the CUDA and robotics skills. 2,800 stars and NVIDIA authorship give high confidence in the RAG prompts. Test against an actual RAGflow v0.17 scoping session before committing the skills to the daily workflow.

Build #8 nvidia/skills: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/nvidia/skills. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 2,800 stars on GitHub as of 2026-08-15. 110-plus skill files in repository. NVIDIA GitHub organisation (nvidia/) confirmed owner. Covers CUDA, Physical AI, RAG, NeMo, and Triton domains. Confirmed not in seen registry.

#9

newtest firstBoth runtimes27 / 35

run-llama/workflows-py repo

LlamaIndex Workflows 1.0, split out into a standalone Python package in August 2026. Event-driven, async-first agent orchestration with typed events, step decorators, and first-class streaming. Requires only Python 3.10-plus; no LlamaIndex core dependency.

What it does for you: Hermes automations today use ad-hoc async patterns. Workflows 1.0 provides a typed event bus and step decorator model that makes the control flow of complex Hermes scripts explicit and testable. The standalone extraction means YY gets the orchestration engine without pulling in LlamaIndex's 30-plus transitive dependencies.

In practice: Clean extraction from a large framework into a focused, useful component. The typed-event model is the right abstraction for YY's multi-step Hermes flows.

For: Both runtimes. Standalone Python package (pip install llama-index-workflows) with no LlamaIndex core dependency; usable in any Python environment including Hermes.

Security4

Quality4

Auditability4

Useful to you4

Useful to community3

Buildable now4

Hermes4

Verdict: test first. Typed event-driven orchestration solves a real Hermes complexity problem. Standalone package reduces adoption risk. Test on one medium-complexity Hermes script (such as the brain ingest pipeline) to validate the event model integrates cleanly with existing async loops.

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

Source · Published as standalone PyPI package llama-index-workflows 1.0 in August 2026. Repository at run-llama/workflows-py. Typed events and step decorators present in README examples. Requires Python 3.10-plus only; no LlamaIndex core.

#10

newtest firstClaude (Axion)27 / 35

Anthropic Compliance API: Cowork and Claude Code for Enterprise repo

Anthropic extended the Compliance API on August 11, 2026 to cover Claude Cowork collaborative sessions and Claude Code agent sessions. Enterprise admins can query a structured log of every session turn, tool call, and tool result across all three products via a single compliance endpoint.

What it does for you: If MCL moves any client session onto Claude Enterprise, the Compliance API gives the MCL ops team a single endpoint to audit what Claude said and did. For Axion: pairing this with the self-hosted runner (rank 2) gives full structured session auditing of every Hermes agent run, replacing the current ad-hoc runs.log approach with a queryable structured record.

In practice: Enterprise feature that becomes load-bearing the moment any client data flows through Claude. Not a build target today but a green light for an Enterprise upgrade if YY was blocked on audit requirements.

For: Claude (Axion). Enterprise-only API endpoint; requires a Claude for Enterprise account and a provisioned compliance log storage bucket.

Security5

Quality4

Auditability5

Useful to you3

Useful to community4

Buildable now3

Hermes3

Verdict: test first. Directly actionable if Enterprise upgrade is in scope. Read the compliance endpoint schema before upgrading so audit logging can be wired into Axion Mission Control on day one.

Build #10 Anthropic Compliance API: use the ai-implementation-build-intake skill to build this safely. Source: https://claude.com/blog/compliance-api-cowork-and-claude-code. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Announced August 11, 2026 via Anthropic blog. Covers Cowork, Claude Code, and API sessions. Compliance log endpoint documented at platform.claude.com/docs/en/compliance. Enterprise subscription required.

#11

test firstBoth runtimes27 / 35

langchain-ai/langgraph (v1.0.x, production stable) repo

Production-stable graph-based multi-agent framework, now in the v1.0.x LTS series with per-node timeouts, DeltaChannel typed streaming, and cooperative shutdown support. The LTS designation means the public API is frozen until v2.0.

What it does for you: LangGraph's LTS stability guarantee means any Axion multi-agent code built against the v1.0.x API is protected from breaking changes. Per-node timeouts and cooperative shutdown directly address the most common failure mode in long-running Hermes pipelines: a hung tool call that blocks the whole agent loop.

In practice: Re-listed for the LTS milestone. LangGraph has been the production multi-agent standard all year; LTS status is the signal that it is safe to build permanent Axion infrastructure on it.

For: Both runtimes. Python package; works in Claude Code orchestration scripts and Hermes agent loops; model-agnostic.

Security4

Quality4

Auditability5

Useful to you3

Useful to community5

Buildable now3

Hermes3

Verdict: test first. Re-listed for v1.0.x LTS and per-node timeout addition. If any Hermes scripts use LangGraph, pin to v1.0.7 or later. If not yet using LangGraph, the LTS milestone makes it a lower-risk adoption than any prior release.

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

Source · v1.0.x in production stable LTS series as of August 2026. Per-node timeouts, DeltaChannel streaming, and cooperative shutdown in v1.0.x changelog. LangChain org confirmed LTS API freeze through v2.0. Stars estimated at 50,000-plus.

#12

newwatchClaude (Axion)26 / 35

Anthropic Workbench and Prompt Tools API Retirement (August 17) repo

Anthropic is retiring the experimental prompt tools API (generate-prompt, improve-prompt, and templatize-prompt endpoints) and the visual Workbench on August 17, 2026, two days from today. Any code calling these endpoints will receive HTTP 410 after retirement.

What it does for you: Audit Axion and Hermes immediately for any calls to /v1/messages/generate-prompt, /v1/messages/improve-prompt, or /v1/messages/templatize-prompt. If any Hermes scripts use the Workbench API for prompt iteration, replace them with SDK-based prompt management before midnight August 17. The replacement is the new Claude API Console.

In practice: Two-day deadline. Not a build opportunity; a deadline to meet. Included because the Workbench was used for prompt testing before deploying to Hermes in earlier Axion sessions.

For: Claude (Axion). Affects only integrations using the deprecated prompt tools API endpoints; no Hermes impact unless Hermes scripts call those specific endpoints.

Security5

Quality4

Auditability5

Useful to you4

Useful to community3

Buildable now3

Hermes2

Verdict: watch. Watch with urgency: check all Axion and Hermes scripts for deprecated endpoint calls before August 17. If none exist, no action required. The prompt tools endpoints are gone in 48 hours.

Build #12 Anthropic Workbench Retirement notice: use the ai-implementation-build-intake skill to build this safely. Source: https://platform.claude.com/docs/en/release-notes/overview. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Retirement date confirmed as August 17, 2026 in Anthropic release notes. Affects /v1/messages/generate-prompt, /v1/messages/improve-prompt, /v1/messages/templatize-prompt. 2 days from today (2026-08-15).

#13

watchStandalone tool26 / 35

google-gemini/gemini-cli v0.54.0 repo

107,000-star Gemini CLI agent updated to v0.54.0 on August 6, 2026. v0.54.0 adds parallel tool-call execution (was serial in v0.53.x), a slash-command plugin API for adding custom commands, and structured output mode for JSON-typed agent responses.

What it does for you: Parallel tool execution is the headline change: a Gemini CLI agent running four web searches now takes the time of one instead of four. The slash-command plugin API mirrors the skill extension pattern YY uses in Claude Code. Material enough to re-evaluate as an alternative for web-heavy research sessions where parallel search is the bottleneck.

In practice: Major usability upgrade in v0.54.0. Parallel tool execution is what made gemini-cli feel slow relative to Claude Code for multi-step research. Now substantially more competitive.

For: Standalone tool. CLI binary requiring Google credentials; not callable from Hermes without credential plumbing not currently set up on the Axion box.

Security4

Quality4

Auditability5

Useful to you2

Useful to community5

Buildable now4

Hermes2

Verdict: watch. Re-listed for v0.54.0 parallel tool execution. Still requires Google credential setup that Claude Code does not need on the Axion box. Watch for v0.55.0 feature parity before revisiting as a Claude Code alternative for research sessions.

Build #13 google-gemini/gemini-cli: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/google-gemini/gemini-cli. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 107,000 stars as of 2026-08-15. v0.54.0 released August 6, 2026 via GitHub releases. Last scouted 2026-08-05 at v0.53.x. Parallel tool-call execution added in v0.54.0 changelog. Slash-command plugin API documented in v0.54.0 release notes.

#14

watchBoth runtimes26 / 35

jxnl/instructor repo

13,000-star MIT Python library for structured LLM output extraction using Pydantic models. Wraps the Anthropic, OpenAI, Gemini, and Mistral SDKs with automatic retry, validation, and type coercion. v1.8 adds native Anthropic streaming validation and structured output for tool-use chains.

What it does for you: Any Hermes script that parses LLM output by hand today has a latent bug: the model can change field names or omit keys and the script silently processes bad data. Instructor replaces dict parsing with Pydantic model validation and automatic retry on schema mismatch, making every Hermes extraction step type-safe and observable.

In practice: One of the most battle-tested structured output libraries in the Python LLM ecosystem. v1.8 streaming validation closes the last gap for Hermes agent pipelines.

For: Both runtimes. Python library; usable in Claude Code scripts and Hermes automation for structured LLM output validation.

Security4

Quality4

Auditability4

Useful to you3

Useful to community4

Buildable now3

Hermes4

Verdict: watch. Already a mature library; the main action is to audit existing Hermes scripts that parse LLM output and migrate them to Instructor where the schema is fixed. Low urgency but high quality-of-life return.

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

Source · 13,000 stars on GitHub as of 2026-08-15. MIT license. v1.8 adds Anthropic streaming validation. Supports Anthropic, OpenAI, Gemini, and Mistral backends. Pydantic v2 native. Active release cadence confirmed.

#15

watchClaude (Axion)25 / 35

Claude Code August 2026 Changelog repo

Batch of Claude Code updates shipped in August 2026: /teleport command for resuming Remote Control sessions mid-flight, richer plugin marketplace command sources (plugins can now register commands in any slash-command category), improved streaming with keepalive handling, and VS Code sidebar session groups for organising concurrent agent tasks.

What it does for you: /teleport is directly useful to YY: if a Remote Control Hermes session drops, /teleport resumes it from the last checkpoint instead of requiring a full restart. Session groups in the VS Code sidebar let YY organise concurrent Axion tasks (scout, ingest, content) into named groups without jumping between terminal tabs.

In practice: Steady quality-of-life release. /teleport solves a real pain point for headless remote sessions. Session groups are a practical win for YY's multi-task workflow.

For: Claude (Axion). Claude Code-specific feature changes; /teleport and session groups only available in Claude Code sessions.

Security5

Quality3

Auditability4

Useful to you4

Useful to community3

Buildable now3

Hermes3

Verdict: watch. No new API surface; UI and reliability improvements. Note /teleport for the next Hermes session that drops mid-run.

Build #15 Claude Code August 2026 Changelog: use the ai-implementation-build-intake skill to build this safely. Source: https://releasebot.io/updates/anthropic/claude-code. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Changelog at code.claude.com/docs/en/changelog documents /teleport, plugin command sources, keepalive streaming, and VS Code session groups, all shipped August 2026. /teleport resume documented in Remote Control section.

#16

watchBoth runtimes25 / 35

simonw/llm repo

11,200-star MIT CLI and Python library for running prompts against any LLM from the command line or Python code. Supports Anthropic, OpenAI, Gemini, Mistral, and 30-plus local models via plugins. v0.19 adds structured output mode with Pydantic schema support across all backends.

What it does for you: LLM CLI lets YY run a one-off Claude prompt from any PowerShell window without opening Claude Code. For Hermes scripts that call multiple model providers in the same pipeline, LLM provides a single API regardless of backend. The v0.19 structured output mode complements Instructor (rank 14) for typed Hermes pipelines.

In practice: Thoughtful, well-documented, and actively maintained by Simon Willison (creator of Django). The CLI surface is especially useful for quick Axion ops tasks where opening Claude Code is overhead.

For: Both runtimes. pip install llm installs a CLI and Python library; callable from Hermes scripts and Claude Code shells on any Python environment.

Security4

Quality4

Auditability4

Useful to you3

Useful to community4

Buildable now3

Hermes3

Verdict: watch. Useful utility to have installed; not an urgent build target. Install llm CLI for ops convenience and note v0.19 structured output as a complement to the Instructor adoption at rank 14.

Build #16 simonw/llm: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/simonw/llm. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · 11,200 stars on GitHub as of 2026-08-15. MIT license. v0.19 adds Pydantic structured output mode across 30-plus backends. Created and maintained by Simon Willison.

#17

watchBoth runtimes24 / 35

hesreallyhim/awesome-claude-code repo

Curated awesome-list for Claude Code resources, now at 52,300 stars and 4,600 forks, up substantially since last scouted 2026-07-05. The list added sections for Managed Agent skills, Remote Control patterns, self-hosted runner configs, and new marketplace plugin categories in August 2026.

What it does for you: The list now surfaces the garrytan/gstack skills (rank 1), nvidia/skills (rank 8), and several Remote Control starter configs that give YY curated starting points without open-ended search. The new Managed Agent section directly covers the launch-your-agent pattern (rank 4) with community examples.

In practice: 52,300 stars confirms it is the canonical Claude Code resource hub. The new sections added since July 5 are directly on-point for Axion August priorities.

For: Both runtimes. Curated resource list; the referenced repos and plugins are individually buildable in Claude or Hermes contexts.

Security4

Quality4

Auditability4

Useful to you3

Useful to community5

Buildable now2

Hermes2

Verdict: watch. Re-listed for major growth (star count roughly doubled since 2026-07-05) and new sections covering August 2026 Claude Code features. Reference when scouting skills and plugins.

Build #17 hesreallyhim/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 · 52,300 stars, 4,600 forks as of 2026-08-15. Last scouted 2026-07-05. New sections for Managed Agent Skills, Remote Control Patterns, and Self-Hosted Runner Configs added August 2026.

#18

newwatchClaude (Axion)23 / 35

anthropics/claude-plugins-community repo

Community-contributed Claude Code plugin directory, separate from the Anthropic-maintained official marketplace. Lists plugins submitted by the community with install metadata, source repo links, and capability tags. Updated daily via automated validation PRs.

What it does for you: A second discovery channel for Claude Code plugins beyond the official marketplace. YY can find experimental or niche plugins before they reach the official channel, and can submit custom Axion plugins here for community testing and feedback.

In practice: Complement to the official marketplace, not a replacement. Daily automated validation means stale plugins get flagged quickly.

For: Claude (Axion). Plugin registry for Claude Code; plugins installed only in interactive Claude Code sessions, not in headless Hermes.

Security3

Quality3

Auditability4

Useful to you4

Useful to community4

Buildable now3

Hermes2

Verdict: watch. Monitor as a plugin discovery channel. Not a build target.

Build #18 anthropics/claude-plugins-community: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/anthropics/claude-plugins-community. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Repository confirmed live under anthropics GitHub organisation as of 2026-08-15. Automated daily validation PR bot documented in README. Community-contributed directory, distinct from anthropics/claude-plugins-official.

#19

watchBoth runtimes20 / 35

openclaw/openclaw repo

Multi-agent orchestration platform re-listed today for CVE-2026-32922 (CVSS 9.8), disclosed since last scouted 2026-08-04. A single unauthenticated API call converts a pairing token generated during initial setup into full administrator access, enabling remote code execution without further credentials.

What it does for you: If OpenClaw is running or installed on the Axion box or any MCL-connected machine, this is an active P0. A single network request to the pairing endpoint by any local-network attacker grants full admin plus arbitrary code execution. Any previous build-now verdict for OpenClaw is suspended until a patched release ships.

In practice: This is not a feature update. It is a critical security notice for anyone who followed the earlier build-now verdict.

For: Both runtimes. Self-hosted agent orchestration platform; Hermes can call its API, but the platform itself runs on the Axion machine.

Security1

Quality3

Auditability3

Useful to you4

Useful to community5

Buildable now2

Hermes2

Verdict: watch. Downgraded from build now to watch. CVE-2026-32922 CVSS 9.8: pairing endpoint is a remote code execution vector. Do not install or run OpenClaw until a patch version is confirmed and the CVE is listed as resolved in release notes.

Build #19 openclaw/openclaw: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/openclaw/openclaw. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · CVE-2026-32922 disclosed between 2026-08-04 and 2026-08-15. CVSS score 9.8 (Critical). Single unauthenticated API call to pairing endpoint grants full admin access and RCE. No patch version confirmed as of 2026-08-15.

#20

newwatchStandalone tool17 / 35

Grok Bot (xAI, August 11) repo

xAI launched Grok Bot on August 11, 2026: always-on AI agents with dedicated cloud computers per agent. Each Grok Bot instance maintains a persistent browser, file system, and memory across tasks. Designed for long-running delegated work: monitoring, background research, and scheduled execution.

What it does for you: Grok Bot is a direct competitor to YY's Hermes architecture, positioned as a consumer-accessible version of what Axion does. If Grok Bot ships scheduled agent loops with persistent memory before Hermes reaches the same capability level, it becomes a benchmark YY's clients may reference. Study the feature set; not a build target.

In practice: Well-positioned competitive signal. Persistent browser per agent is the differentiating claim versus Hermes. Quality unknown until tested.

For: Standalone tool. SaaS product with no public API for integration; study value only as a competitive signal.

Security3

Quality3

Auditability2

Useful to you3

Useful to community4

Buildable now1

Hermes1

Verdict: watch. No build action. Monitor Grok Bot feature parity monthly as a benchmark for what the consumer market will expect from bespoke agent setups like Hermes.

Build #20 Grok Bot (xAI): use the ai-implementation-build-intake skill to build this safely. Source: https://aitoolsreview.co.uk/insights/grok-bot-agent-launch. Save canonical skill/agent under AXION\Skills and AXION\Agents. Copy

Source · Launched August 11, 2026 per AI Tools Review and xAI announcement. Each Grok Bot instance has a dedicated persistent cloud computer. Pricing and API access not confirmed as of 2026-08-15.