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Fully autonomous AI Agents system capable of performing complex penetration testing tasks
- ai-agents
- ai-security-tool
- autonomous-agents
- golang
Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity
The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 20+ AI Agent Skills.
Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat Work). Chat with your AI dev assistant from anywhere — no public IP required for most platforms.
Open source AI coding agent. Designed for large projects and real world tasks.
An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA, Face ID, Google Workspace, Azure AD
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
- monitoring
- time-series
- nightingale
- tsdb
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
- kubernetes
- golang
- rest
- grpc
Where data access meets operational intelligence
- mysql
- postgresql
- ai-agent
- data-catalog
Instant REST and MCP APIs for PostgreSQL and MySQL, on existing or new databases. CRUD, custom SQL routes, auth and ACL without writing a backend. Low-code, ⚡ realtime, high-performance. Native MySQL support since v2.5
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
- cron
- workflow-engine
- workflow-scheduler
- workflow-orchestration
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
Global edition of ARTEX — an LLM multi-agent autonomous penetration-testing framework. English default, switchable to Korean/Chinese/Spanish/Japanese. For authorized, defensive and detection use only. (upstream: Autumn-27/ARTEX, AGPL-3.0)
🏕️ Reproducible development environment for humans and agents
- developer-tools
- development-environment
- docker
- buildkit
A secure low code deception runtime framework, leveraging AI for System Virtualization.
- cybersecurity
- security
- honeypot
- framework
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.
- ai-coding
- claude-code
- code-intelligence
- codex
ARTEX · AI autonomous penetration testing system (multi-agent LLM, Go + Next.js) · AI 自主渗透测试系统 · 百度 agent+ 攻防挑战赛冠军
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
- bolt
- cypher
- database
- enterprise-solutions
A fast coding agent, rpc plugin, sub-agents, sloppy edits, and mcp
Simple, modular, and observable Go framework for backend applications.
- framework
- go
- golang
- grpc-server
PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstream behavior is the contract, and Go is the implementation language.
Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops threats automatically.