#python #agent #agent_memory #ai_agent #book #coding_agent #context_engineering #large_language_models #llm #mcp #multi_agent #multimodal #rag #reinforcement_learning

This free open-source book and code library teaches you how to build AI Agents using the simple formula: Agent = Model + Context + Tools. You get the full book in English, Chinese, and Tamil, plus ready-to-run code examples for every chapter. The benefit is that you can learn by doing instead of just reading, letting you build real AI agents that search the web, write code, remember users, and work with other agents to solve complex tasks.

https://github.com/bojieli/ai-agent-book

#javascript #agent_skills #ai_agent #browser #skills #skills_sh

ego lite is a free macOS browser for you and AI agents to work at the same time in separate spaces, so your tabs and logins stay yours while the agent handles browser tasks in the background. It can use your Chrome data, stores data locally, and aims to finish complex tasks faster with fewer tool calls, which saves you time and reduces setup friction.

https://github.com/citrolabs/ego-lite

#go #agent #agent_skills #code_review #code_review_assistant #harness #repository_level_context

OpenCodeReview is a free AI code review tool that checks your code changes, finds bugs and security issues, and gives clear line-by-line comments. It works with Git diffs, full files, and branches, and you can connect it to your own AI model or use it in CI/CD tools. This helps you review code faster, catch more real problems, and spend less time on false alarms.

https://github.com/alibaba/open-code-review

#python #agent_framework #ai_agents #ai_safety #compliance #governance #microsoft #owasp #policy_engine #python #security #trust #zero_trust

Agent Governance Toolkit helps you control AI agents with policy checks, identity, sandboxing, and audit logs so unsafe actions are blocked before they happen. It lets you govern tools in a few lines of code, works with many languages and agent frameworks, and gives you compliance and security checks, which helps you launch agents more safely and prove what they did.

https://github.com/microsoft/agent-governance-toolkit

#go #agent #agent_framework #ai_agent #ai_coding #cli #coding_agent #deepseek #developer_tools #ink #llm #prompt_caching #r1 #terminal #tool_use #tui #typescript

Reasonix is a DeepSeek-based AI coding agent for your terminal, desktop, or VS Code, and it uses one local engine for all three. You can set it up with a simple config, add plugins and tools, and run it as a single Go binary, which helps you code faster while keeping token costs lower during long sessions.

https://github.com/esengine/DeepSeek-Reasonix

#python #agent_security #ai_agents #ai_security #benchmark #claude #claude_code #codex #cursor #llm_security #mcp #model_context_protocol #prompt_injection #threat_detection

ADR is an enterprise security system for AI agents that watches what agents do, tests them for attacks, detects risky behavior, and is being used in production at Uber; its paper was accepted to MLSys 2026. The benefit to you is better protection for AI tools like Cursor, Claude Code, and Codex, plus a way to find unsafe actions before they cause harm.

https://github.com/uber/ADR

#python #agent_control_plane #agent_ops #ai_agents #codex #long_running_agents #loop_engineering #loopx #workflow_automation

LoopX is a local control plane for long-running AI agent work. It keeps goals, tasks, evidence, quota, and handoffs in one place so work stays clear, restartable, and easier to pass between agents and people; the benefit is less lost context, safer progress, and easier review across long projects.

https://github.com/huangruiteng/loopx

#python #agent_memory #ai #ai_governance #ai_infrastructure #artificial_intelligence #context_engineering #context_graphs #data_engineering #decision_intelligence #developer_tools #explainable_ai #generative_ai #graph_rag #knowledge_graph #llm #ontology #provenance #python #reasoning #semantic_search

Semantica is an open-source tool that turns messy data into clear, connected knowledge graphs for AI. It helps you track where facts came from, explain AI decisions, find conflicts, and keep systems auditable and trustworthy. This benefits you by making AI easier to trust, easier to check, and safer to use in important work like finance, healthcare, legal, and government.

https://github.com/semantica-agi/semantica

#kotlin #agent #agentic_ai #agents #ai #ai_agents #aiagentframework #genai #generative_ai #java #kotlin #llms #multi_agents #multi_agents_orchestration #multi_agents_system #spring

Embabel is a Java and Kotlin framework for building AI agents on the JVM with Spring, using typed goals, actions, and conditions instead of hard-coded prompt chains. It plans and replans at runtime, which helps you build more flexible, testable, and reusable agent flows while still fitting into existing enterprise code. The benefit to you is faster AI app development with stronger type safety, easier testing, and simpler use of LLMs, tools, and domain models in one system.

https://github.com/embabel/embabel-agent

#rust #agent #ai #ai_agents #all_in_one #crm #crm_system #email #linear #mcp #messaging #notes #notion #office #rust #slack #slack_alternative #startup #startup_tools #typescript #workspace

Macro is an all-in-one workspace for teams that combines email, chat, docs, tasks, CRM, calls, and agents in one fast place, with shared team memory and links between everything. The benefit for you is less app-switching, faster teamwork, and easier finding of the right message, file, or task when you need it.

https://github.com/macro-inc/macro

#typescript #agent #agent_harness #agent_os #agentic #ai #ai_agent #ai_agents #artificial_intelligence #claude_code #codex #electron #holaboss #holaos #llm #mcp #memory #model_context_protocol #runtime #typescript #workspace

holaOS is a local-first desktop workspace that lets you run agents like Claude Code, Codex, or its built-in agent together with your tools, files, apps, and shared memory. It supports macOS, Windows, and Linux, includes built-in models or your own keys, and can help you get work done with real browser control, app automation, and ready-made files. This can save you time because one setup works across agents, keeps your context, and lets you produce useful results without switching systems.

https://github.com/holaboss-ai/holaOS