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[Upstream sync] ARUNAGIRINATHAN-K/awesome-ai-agents-2026 (github) — 0 added, 1 modified #17

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promptadmin merged 1 commits from upstream-sync/awesome-ai-agents-2026-20260708-a00bf4-mnrx into main 2026-07-09 01:59:40 +00:00
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upstream/ARUNAGIRINATHAN-K-awesome-ai-agents-2026/catalogue/README.md
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title: "Awesome AI Agents 2026" title: "Awesome AI Agents 2026"
task: "" task: ""
lineage_type: import lineage_type: import
upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/95f190fb/README.md upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/a00bf4c7/README.md
upstream_sha: 95f190fb upstream_sha: a00bf4c7
imported_at: 2026-07-04 imported_at: 2026-07-08
prompt_class: catalogue prompt_class: catalogue
upstream_changes: accepted upstream_changes: accepted
author: upstream author: upstream
@@ -18,7 +18,7 @@ validated: false
# Awesome AI Agents 2026 # Awesome AI Agents 2026
[![Awesome](https://awesome.re/badge.svg)](https://github.com/sindresorhus/awesome) [![Awesome](https://awesome.re/badge.svg)](https://github.com/sindresorhus/awesome)
[![GitHub stars](https://img.shields.io/github/stars/ARUNAGIRINATHAN-K/awesome-ai-agents-2026?style=social)](https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/stargazers) [![GitHub stars](https://img.shields.io/github/stars/ARUNAGIRINATHAN-K/awesome-ai-agents-2026?style=social)](https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026)
![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square) ![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)
[![Last Commit](https://img.shields.io/github/last-commit/ARUNAGIRINATHAN-K/awesome-ai-agents-2026)](https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/commits/main) [![Last Commit](https://img.shields.io/github/last-commit/ARUNAGIRINATHAN-K/awesome-ai-agents-2026)](https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/commits/main)
![Tools Listed](https://img.shields.io/badge/tools_listed-470%2B-blue?style=flat-square) ![Tools Listed](https://img.shields.io/badge/tools_listed-470%2B-blue?style=flat-square)
@@ -157,6 +157,7 @@ validated: false
- [SimpleMem](https://github.com/aiming-lab/SimpleMem) `🌱` `[Python]` `[Multimodal]` - Efficient lifelong memory for LLM agents supporting both text and multimodal inputs. - [SimpleMem](https://github.com/aiming-lab/SimpleMem) `🌱` `[Python]` `[Multimodal]` - Efficient lifelong memory for LLM agents supporting both text and multimodal inputs.
- [Superdense](https://github.com/Nimrobo/superdense) `🔬` `[TypeScript]` `[Memory]` - Gives coding agents persistent memory of what worked across sessions, tracked against real-world outcomes. - [Superdense](https://github.com/Nimrobo/superdense) `🔬` `[TypeScript]` `[Memory]` - Gives coding agents persistent memory of what worked across sessions, tracked against real-world outcomes.
- [Supermemory](https://github.com/supermemoryai/supermemory) `🌱` `[TypeScript]` `[Vector DB]` - Extremely fast and scalable memory engine and API designed for the AI era. - [Supermemory](https://github.com/supermemoryai/supermemory) `🌱` `[TypeScript]` `[Vector DB]` - Extremely fast and scalable memory engine and API designed for the AI era.
- [Tree Ring Memory](https://github.com/TerminallyLazy/Tree-Ring-Memory) `🔬` `[Rust]` `[Memory]` - Manages local agent memory with recall, forgetting, audit trails, and session consolidation.
- [Vestige](https://github.com/samvallad33/vestige) `🌱` `[Rust]` `[MCP]` - Provides local-first memory for coding agents with FSRS-6 retention, active forgetting, and correction tools. - [Vestige](https://github.com/samvallad33/vestige) `🌱` `[Rust]` `[MCP]` - Provides local-first memory for coding agents with FSRS-6 retention, active forgetting, and correction tools.
- [Weaviate](https://github.com/weaviate/weaviate) `🌱` `[Go]` `[Vector DB]` - Stores and searches vector embeddings with hybrid keyword and semantic retrieval for agent knowledge. - [Weaviate](https://github.com/weaviate/weaviate) `🌱` `[Go]` `[Vector DB]` - Stores and searches vector embeddings with hybrid keyword and semantic retrieval for agent knowledge.
- [Zep](https://github.com/getzep/zep) `🌱` `[Python]` `[Multi-Agent]` - Enriches agent long-term memory with automatic summarization, entity extraction, and search. - [Zep](https://github.com/getzep/zep) `🌱` `[Python]` `[Multi-Agent]` - Enriches agent long-term memory with automatic summarization, entity extraction, and search.
@@ -769,6 +770,7 @@ Frameworks and tools for AI risk management, regulatory compliance, and governan
AI agents specialized in penetration testing, vulnerability discovery, threat detection, and security analysis. AI agents specialized in penetration testing, vulnerability discovery, threat detection, and security analysis.
- [Dark-Moon](https://github.com/ASCIT31/Dark-Moon) `🌱` `[Python]` `[MCP]` - Autonomous AI penetration testing platform orchestrating 80+ offensive tools via MCP across web, cloud, Active Directory, Kubernetes, and API targets.
- [Microsoft Security Copilot](https://www.microsoft.com/en-us/security/business/ai-machine-learning/microsoft-security-copilot) `🚀` `[Cloud]` `[Microsoft]` - Enterprise threat detection and incident response AI integrated across Microsoft security products. - [Microsoft Security Copilot](https://www.microsoft.com/en-us/security/business/ai-machine-learning/microsoft-security-copilot) `🚀` `[Cloud]` `[Microsoft]` - Enterprise threat detection and incident response AI integrated across Microsoft security products.
- [PentestGPT](https://github.com/GreyDGL/PentestGPT) `🌱` `[Python]` `[CLI]` - GPT-powered penetration testing tool with automated reasoning for vulnerability assessment. - [PentestGPT](https://github.com/GreyDGL/PentestGPT) `🌱` `[Python]` `[CLI]` - GPT-powered penetration testing tool with automated reasoning for vulnerability assessment.
- [YAWNING TITAN](https://github.com/dstl/YAWNING-TITAN) `🌱` `[Python]` `[Graph-Based]` - Graph-based cybersecurity simulation environment for training and testing defensive AI agents. - [YAWNING TITAN](https://github.com/dstl/YAWNING-TITAN) `🌱` `[Python]` `[Graph-Based]` - Graph-based cybersecurity simulation environment for training and testing defensive AI agents.