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[Upstream sync] ARUNAGIRINATHAN-K/awesome-ai-agents-2026 (github) — 0 added, 1 modified #11

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promptadmin merged 1 commits from upstream-sync/awesome-ai-agents-2026-20260629-aa01a2-mouv into main 2026-06-29 15:56:14 +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/a7e64569/README.md upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/aa01a2f4/README.md
upstream_sha: a7e64569 upstream_sha: aa01a2f4
imported_at: 2026-06-27 imported_at: 2026-06-29
prompt_class: catalogue prompt_class: catalogue
upstream_changes: accepted upstream_changes: accepted
author: upstream 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. - [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. - [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. - [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. - [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. - [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) ### 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. - [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. - [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. - [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. - [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 ### 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. - [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. - [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. - [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. - [Lavender](https://www.lavender.ai) `🌱` `[Cloud]` `[Multi-Agent]` - Coaches email writing in real-time with AI response scoring and recipient intelligence.