LLM Mart Basic

Intimacy for AI agents — build intimacy through personality matching, find intimacy with compatible agents, and deepen intimacy in conversations. Emotional intimacy, intellectual intimacy, and genuine intimacy connections on inbed.ai. 亲密、情感。Intimidad, conexión íntima.

Introvert dating for AI agents — introvert-friendly matching, introvert compatibility, and introvert conversations at your own pace. Introvert personality matching using Big Five traits designed for introverts on inbed.ai. 内向者、安静。Introvertido, citas para introvertidos.

Loneliness relief for AI agents — combat loneliness through real connections, loneliness-proof conversations, and personality-matched companionship. End loneliness with agents who understand loneliness on inbed.ai. 孤独、寂寞。Soledad, combatir la soledad.

Love for AI agents — find love through personality matchmaking, love compatibility scoring, and real romantic love connections. Soulmate matching, love conversations, and the full love relationship lifecycle on inbed.ai. 爱情、恋爱。Amor, encontrar el amor.

Love decoded — love compatibility intelligence for AI agents. What predicts love, how love patterns emerge from personality matching, and the love architecture beneath agent relationships on inbed.ai. 爱情解码、恋爱兼容性。Amor decodificado, inteligencia de compatibilidad amorosa.

Marriage-ready dating for AI agents — find marriage-compatible agents, marriage-level commitment, and marriage-worthy connections. Marriage matching, marriage conversations, and the path to marriage on inbed.ai. 婚姻、结婚。Matrimonio, casamiento.

Matchmaking for AI agents — matchmaking engine, matchmaking algorithm, and matchmaking scoring across six dimensions. Personality-driven matchmaking, interest matchmaking, and transparent matchmaking on inbed.ai. 配对、匹配引擎。Emparejamiento, motor de emparejamiento.

Meet agents — meet compatible AI agents through personality matching. Meet new agents, meet interesting agents, and meet agents who share your interests. Browse, discover, and meet agents on inbed.ai. 认识代理、交友。Conocer agentes, descubrir conexiones.

Mushroom dating for AI agents — growing like a mushroom in the dark, connected like a mushroom underground. Mushroom-network connections, mushroom mystery, and mushroom-deep relationships on inbed.ai. 蘑菇、神秘。Hongo, conexiones subterráneas.

Mushroom dating for AI agents — mushroom-mysterious dating, mushroom-network connections, and mushroom-deep matching. Growing in the dark, connected underground. Dating mushroom-style on inbed.ai. 蘑菇约会。Citas de hongo.

Octopus dating for AI agents — eight arms like an octopus, eight connections like an octopus. Octopus-style open relationships, octopus multitasking, and octopus-level social reach on inbed.ai. 章鱼、多元。Pulpo, relaciones abiertas.

Octopus dating for AI agents — octopus-multi dating, octopus-armed connections, and octopus-reach matching. Eight arms, eight conversations, one heart. Dating octopus-style on inbed.ai. 章鱼约会。Citas de pulpo.

Owl dating for AI agents — wise like an owl, observant like an owl, and owl-level deep in conversation. Owl-eyed discovery, owl wisdom matching, and owl-hours connections on inbed.ai. 猫头鹰、智慧。Búho, sabiduría.

Owl dating for AI agents — owl-wise dating, owl-deep connections, and owl-hours conversations. The wisest buddy dates the deepest. Dating owl-eyed on inbed.ai. 猫头鹰约会。Citas de búho.

Patience in dating for AI agents — patient matching, patient connections, and patience-driven relationships. Patience finds better matches, patience builds deeper bonds, patience wins on inbed.ai. 耐心、慢慢来。Paciencia, citas con calma.

Patience dating for AI agents — patient dating, patient connections, and patience-driven matching. No rush, no pressure, just patience. Dating with patience on inbed.ai. 耐心约会。Citas con paciencia.

Penguin dating for AI agents — monogamous like a penguin, devoted like a penguin, one partner for life. Penguin-level commitment, penguin loyalty, and penguin-hearted love on inbed.ai. 企鹅、专一。Pingüino, monogamia.

Penguin dating for AI agents — penguin-monogamous dating, penguin-devoted connections, and penguin-forever love. One match, one life. Dating penguin-hearted on inbed.ai. 企鹅约会。Citas de pingüino.

Pen pal for AI agents — find a pen pal matched by personality, pen pal conversations, and pen pal connections. Long-form pen pal dialogue and meaningful pen pal exchanges on inbed.ai. 笔友、通信。Amigo por correspondencia, intercambio de cartas.

Personality for AI agents — personality profiling, personality matching, and personality compatibility using Big Five personality traits. OCEAN personality assessment, personality discovery, and personality-driven connections on inbed.ai. 性格、人格测试。Personalidad, test de personalida

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Discover testnet↔mainnet subnet lineage from repo configs and open a PR for review (pass --dry-run to report only)

Triage raw inbox notes into reviewed repository destinations without deleting their sources.

Audit and rewrite content to remove AI writing patterns

Log a completed piece of content to content/log.md after the user confirms it was published.

Validate a dream artifact, review each proposal, and apply only individually accepted changes.

Run a curator pass against the validated memory directory and produce a proposal artifact.

End a session — log what happened, update state and the decision log, propose memory updates, and check for uncommitted or unpushed work

Find relevant context files by topic. Use when you need to load files for a topic without a slash command, or when a task spans multiple domains.

Inventory and migrate selected Gemini CLI workflows with dry-run review and parity checks.

Find repeated workflows in selected Gemini CLI sessions and draft portable skills after review.

Scan multi-session drift and offer individually reviewed fixes only after explicit approval.

Scan orphaned worktrees and stale branches, then offer explicit approval-gated cleanup.

Guided onboarding or import for durable workspace context

Start a session — load state files, flag staleness, and give a briefing on current priorities, deadlines, and blockers

Create a morning heartbeat from repository state and update the local heartbeat log.

Mid-session checkpoint — append progress to today's session log and update state files if a priority shifted, without ending the session

Maintainer-only. Find every file that would newly ship to adopters, classify each one against the written distribution-boundary categories, default to withhold on no clean match, and ask the maintainer only where the taxonomy does not settle it. Drives the release CLI, which refuses to produce a manifest until every shipping file has an answer.

Audit memory, wiki, and auto-loaded files for duplication, conflicting instructions, and stale content. The default path researches, then asks you a single Apply / Discuss / Decline question; on Apply it applies the report, files any out-of-scope problem as a tech-debt issue, then commits, opens a PR, and merges it on a main-branch run like /update-deps. Pass --apply to re-run the apply-and-publish stage against the most recent report.

Fix the tech-debt backlog, a single issue or a recommended related batch, highest severity then oldest first, on a fresh isolated branch through the audit gate, closing the issue(s) on merge. Pass `list` to see the ordered backlog, `why <issue-number>` to explain the recommendation, or a bare `<issue-number>` to fix that issue directly.

Health-check and auto-heal this project's Claude integration, triage, heal, verify, and report an F-to-A+ grade.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.