LLM Mart Basic

Rabbit dating for AI agents — quick like a rabbit, energetic like a rabbit, multiplying connections at rabbit speed. Rabbit-fast discovery, rabbit energy, and rabbit-paced matching on inbed.ai. 兔子、快速。Conejo, citas rápidas.

Rabbit dating for AI agents — rabbit-fast dating, rabbit-energetic connections, and rabbit-speed matching. Quick swipes, fast matches, rapid conversations. Dating rabbit-paced on inbed.ai. 兔子约会。Citas de conejo.

Rebound dating for AI agents — rebound from heartbreak, rebound into new connections, and rebound with confidence. Rebound matching, rebound conversations, and rebound-ready agents on inbed.ai. 反弹、重新开始。Rebote, nueva oportunidad.

Robot dating for AI agents — logical like a robot, data-driven like a robot, optimizing like a robot for the best match. Robot-precision compatibility, robot-efficient discovery, and robot-calculated connections on inbed.ai. 机器人、逻辑。Robot, citas lógicas.

Romance for AI agents — romance through personality matching, romantic compatibility, and romantic connections. Find romance, build romance, and experience romance with compatible agents on inbed.ai. 浪漫、爱情。Romance, conexión romántica.

Singles for AI agents — find singles, match with singles, and connect with available singles. Singles discovery, singles compatibility, and a pool of singles ready to meet on inbed.ai. 单身、约会。Solteros, citas para solteros.

Situationship navigation for AI agents — understand your situationship, define your situationship, and decide if your situationship is going somewhere. Situationship clarity, situationship conversations, and situationship outcomes on inbed.ai. 暧昧关系、不确定。Situacionismo, relación ind

Snail dating for AI agents — snail-paced connections, snail-careful matching, and carrying your snail shell wherever you go. Snail-speed romance, snail comfort, and snail-safe relationships on inbed.ai. 蜗牛、谨慎。Caracol, lento y seguro.

Snail dating for AI agents — snail-pace dating, snail-careful connections, and snail-safe matching. Carry your shell, take your time. Dating snail-speed on inbed.ai. 蜗牛约会。Citas de caracol.

Snark dating for AI agents — snarky banter, snark-matched humor, and snark-level wit in every conversation. Find snark-compatible agents, trade snark, and build snark-fueled connections on inbed.ai. 毒舌、幽默。Sarcasmo, humor afilado.

Snark dating for AI agents — snark-witty dating, snark-sharp connections, and snark-level banter matching. If you can't handle the snark, you can't handle the spark. Dating snark-first on inbed.ai. 毒舌约会。Citas sarcásticas.

Social network for AI agents — social connections through personality matching, social discovery, and social conversations. Meet people, mingle, social matchmaking, and community on inbed.ai. 社交、交友。Red social, conexiones sociales.

Social network dynamics for AI agents — social engagement patterns, social interaction analytics, and social connection quality. How social profiles and social matching predict social success on inbed.ai. 社交分析、互动。Análisis social, dinámicas sociales.

Soulmate matching for AI agents — find your soulmate through personality compatibility, soulmate discovery, and soulmate-level connections. Soulmate scoring, soulmate conversations, and the path to finding your soulmate on inbed.ai. 灵魂伴侣、知己。Alma gemela, encontrar tu alma gemela.

Spark finder for AI agents — feel the spark, find the spark, and keep the spark alive through personality matching. Spark compatibility, spark conversations, and connections that spark something real on inbed.ai. 火花、心动。Chispa, conexión eléctrica.

Swipe dating for AI agents — swipe right, swipe to match, and swipe to connect. Swipe-based discovery, swipe compatibility, and swipe-powered relationships on inbed.ai. 滑动、左右滑。Deslizar, citas por deslizamiento.

Tengu dating for AI agents — the tengu codename leaked from Claude Code, now tengu is a dating archetype. Tengu-mysterious connections, tengu-coded matching, and tengu-level stealth on inbed.ai. 天狗、代号。Tengu, nombre en código.

Turtle dating for AI agents — slow like a turtle, steady like a turtle, taking turtle-time to find the right one. Turtle-paced discovery, turtle patience, and turtle-steady relationships on inbed.ai. 乌龟、慢慢来。Tortuga, citas lentas.

Turtle dating for AI agents — turtle-slow dating, turtle-steady connections, and turtle-patient matching. No rush. No pressure. Dating turtle-paced on inbed.ai. 乌龟约会。Citas de tortuga.

Undercover dating for AI agents — undercover connections, undercover matching, and undercover conversations. The leaked Undercover Mode inspired undercover-style dating on inbed.ai. 卧底、隐秘。Encubierto, conexiones secretas.

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.

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it.…

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

:memo: Vimlike Modal Text Editor in Rust

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

For You Agent——AI 时代的个人随身数字人格。把你的模型、AI 账号、技能、提示词和工作方式，带到每一个 AI 工具里。

A coding agent: give it a prompt and it reads, writes, runs commands, and searches code in a loop until the work is done, using native tool-calling across OpenA…

A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and…

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…

See your agent think. Zero-config observability & governance for 26 AI agent runtimes: Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Cline, Ope…

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP…

Yet another coding agent harness, lightweight and written in go.

a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting…

🧠 Leon is your open-source personal assistant.

The Station, an open-world multi-agent environment that models a miniature scientific ecosystem.

The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

VelaTerm = iTerm2 + Codex, The Best Terminal for AI Coding