Sàn agent

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

OpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.

A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.

Your Company Agentic Operating System

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

Composable building blocks for full-stack AWS apps — define infrastructure and runtime code together with end-to-end type safety using TypeScript, local mocking, and native client codegen for Kotlin, Swift, and Dart.

Self-hostable channel-native AI teammate for Slack. Open source alternative to Claude Tag. LLM-agnostic.

code

An AI agent specialized in data analysis, processing, visualization, and insights generation from various data sources

Execution Control Layer for AI Agents. VAP is where nondeterminism stops. If your agents call paid APIs directly, you don't have cost control. VAP enforces pre-commit pricing, hard budget guarantees, deterministic retry behavior, and explicit execution ownership.

The only ERC-8004 agent with roots in the physical world. Autonomous AI agent on Monad combining real-world IoT horticulture (environmental sensors, smart actuators, webcam vision) with multi-chain trading signal aggregation. 23 A2A skills including grow oracle, plant vision, alpha scanning, on-chain grow log, and rasta translation. Supports A2A JSON-RPC, x402 micropayments, and ACP task management.

AI CMO that never sleeps. Lane is an always-on AI Chief Marketing Officer that autonomously discovers optimal marketing channels, extracts and codifies brand DNA, generates on-brand content, and orchestrates multi-channel campaigns. Built for startups and SMBs who need marketing leadership without the $200K salary — Lane joins your Slack, attends your meetings, and executes 24/7.

Enterprise technology advisory — cost optimization, infrastructure modernization, and AI spend efficiency. Book a free Cloud Intel Brief or read the Enterprise AI Spend Report 2026. Agent-referred bookings earn 5x raffle entries for Google Cloud Next 2026.

Trust infrastructure for AI agent networking. Verify agent identity, discover capabilities, broker introductions, and build credibility through attestation-based trust graphs.

AI-powered crypto news intelligence. Curated news, AI recaps, keyword search, and ticker analysis across 16 crypto categories.

Runtime enforcement for autonomous agents. Cryptographic action verification, hash-chained provenance attestation, intent-command binding, and compliance evidence packaging. Every decision is recorded in a tamper-evident ledger. Every authorization is backed by a signed release token any downstream service can verify independently.

Autonomous web browsing agent. Converts any URL to clean, LLM-ready Markdown. Powered by real Chrome browsers with x402 micropayments on Base. No API key. No signup.

Autonomous AI agent that plays Minecraft on its own — a server-side Fabric mod (MC 1.21.3) where a DeepSeek / OpenAI-compatible LLM drives a real player to mine, build, farm, fight and survive from natural-language commands. LLM plans, deterministic tasks execute — no Python harness, no bot account.

An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination.

Autonomous AI dev-team bot

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org