#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

#rust #ai_tools #code_review #rust #tui

This is tuicr, a terminal code review tool with vim keybindings that lets you read diffs, add comments, and send reviews to GitHub, GitLab, clipboard, or stdout. It works with git, jj, and Mercurial, so you can review changes in one place and save time when checking code or sharing feedback.

https://github.com/agavra/tuicr

#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

#python #ai #ast #claude_code #code_analysis #code_understanding #codebase_search #developer_tools #graph_database #knowledge_graph #llm #mcp #mcp_server #memgraph #monorepo #multi_language #python #rag #retrieval_augmented_generation #semantic_search #tree_sitter

Code-Graph-RAG is an open-source tool that reads a codebase, builds a graph of functions, classes, modules, and links, and lets you ask questions, find code, edit safely, and improve code in plain English. It supports many languages and can run as an MCP server for direct use with AI tools. Benefit: you can understand and change large mixed-language projects faster, with less manual searching and fewer mistakes.

https://github.com/vitali87/code-graph-rag

#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

#python #ai_agent #aippt #office #powerpoint #powerpoint_generation #ppt #pptx #presentation #slide #slides

PPT Master is a free, open-source tool that turns PDFs, DOCX files, web pages, or text into a real, editable PowerPoint with native shapes, charts, tables, animations, and speaker notes. You run it locally with an AI tool, so your files stay on your machine and you avoid platform lock-in. The benefit to you is faster slide creation with a deck you can still edit in PowerPoint, instead of a flat image file.

https://github.com/hugohe3/ppt-master