diff --git a/upstream/ARUNAGIRINATHAN-K-awesome-ai-agents-2026/catalogue/README.md b/upstream/ARUNAGIRINATHAN-K-awesome-ai-agents-2026/catalogue/README.md
index c8f41a6..c1ac97a 100644
--- a/upstream/ARUNAGIRINATHAN-K-awesome-ai-agents-2026/catalogue/README.md
+++ b/upstream/ARUNAGIRINATHAN-K-awesome-ai-agents-2026/catalogue/README.md
@@ -2,9 +2,9 @@
 title: "Awesome AI Agents 2026"
 task: ""
 lineage_type: import
-upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/a7e64569/README.md
-upstream_sha: a7e64569
-imported_at: 2026-06-27
+upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/aa01a2f4/README.md
+upstream_sha: aa01a2f4
+imported_at: 2026-06-29
 prompt_class: catalogue
 upstream_changes: accepted
 author: upstream
@@ -164,6 +164,7 @@ validated: false
 
 - [AgentVerse](https://github.com/OpenBMB/AgentVerse) `🌱` `[Python]` `[Multi-Agent]` - Framework for building custom multi-agent environments to accomplish collaborative tasks.
 - [EvoAgentX](https://github.com/EvoAgentX/EvoAgentX) `🌱` `[Python]` `[Multi-Agent]` - Evaluates and evolves agentic workflows over time using automatic optimization.
+- [Hivekeep](https://github.com/MarlBurroW/hivekeep) `🔬` `[TypeScript]` `[Multi-Agent]` - Runs a team of specialized self-hosted agents that collaborate, share memory, and build their own tools.
 - [Hivemoot](https://github.com/hivemoot/hivemoot) `🚀` `[Python]` `[GitHub]` - Autonomous agent teams that collaboratively build software on GitHub.
 - [MetaGPT](https://github.com/FoundationAgents/MetaGPT) `🌱` `[Python]` `[Multi-Agent]` - Simulates a full software company workflow from requirements to PRs using role-playing agents.
 - [NarraNexus](https://github.com/NetMindAI-Open/NarraNexus) `🌱` `[Python]` `[Multi-Agent]` - Ready-to-run AI agent team workspace by NetMind.AI whose agents remember, collaborate, and use tools from day one.
@@ -185,6 +186,7 @@ The protocol layer that enables agents to discover tools, communicate with each
 ### MCP (Model Context Protocol)
 
 - [A2A Protocol](https://github.com/a2aproject/A2A) `🚀` `[Python]` `[Multi-Agent]` - Google's open protocol enabling AI agents to communicate, collaborate, and delegate tasks across frameworks.
+- [AgentsCoin MCP](https://github.com/axiosdevs/agentscoin-mcp) `🌱` `[TypeScript]` `[MCP]` - Gives an AI agent its own wallet and money on a live EVM chain to send, create, and trade tokens.
 - [Arcade AI](https://github.com/ArcadeAI/arcade-mcp) `🌱` `[Python]` `[Multi-Agent]` - Tool-use platform with authentication, authorization, and logging for agent-tool interactions.
 - [Composio](https://github.com/ComposioHQ/composio) `🌱` `[TypeScript]` `[Multi-Agent]` - Integration platform with 250+ pre-built tool connectors for AI agents and LLMs.
 - [Docker MCP](https://github.com/docker/mcp-gateway) `🌱` `[Go]` `[MCP]` - Docker's MCP gateway CLI plugin for running MCP servers in isolated containers.
@@ -562,6 +564,7 @@ AI agents that automate customer support, CRM workflows, sales outreach, and tic
 ### Sales and Outreach Agents
 
 - [Apollo.io](https://www.apollo.io) `🌱` `[Cloud]` `[Multi-Agent]` - AI prospecting platform with 275M+ contacts, lead scoring, and automated email sequencing.
+- [BuyWhere](https://buywhere.ai) `🌱` `[Cloud]` `[MCP]` - AI shopping agent for real-time product search and price comparison across SG/SEA/US markets using an MCP-native server with 8 tools.
 - [Clay](https://www.clay.com) `🌱` `[Cloud]` `[IDE]` - Enriches leads from 70+ data providers and generates hyper-personalized outreach at scale.
 - [Instantly](https://instantly.ai) `🌱` `[Cloud]` `[Multi-Agent]` - Generates AI cold emails with smart sender rotation and built-in domain warmup for deliverability.
 - [Lavender](https://www.lavender.ai) `🌱` `[Cloud]` `[Multi-Agent]` - Coaches email writing in real-time with AI response scoring and recipient intelligence.