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@@ -2,9 +2,9 @@
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title: "Awesome AI Agents 2026"
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task: ""
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lineage_type: import
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upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/4387b454/README.md
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upstream_sha: 4387b454
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imported_at: 2026-08-13
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upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/2700f0b8/README.md
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upstream_sha: 2700f0b8
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imported_at: 2026-09-04
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prompt_class: catalogue
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upstream_changes: accepted
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author: upstream
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@@ -125,6 +125,7 @@ validated: false
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- [JetBrains AI](https://www.jetbrains.com/ai/) `🌱` `[Kotlin]` `[JetBrains]` - Deep AI integration across all JetBrains IDEs with context-aware completions and refactoring.
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- [Juggler](https://github.com/juggler-ai/juggler) `🌱` `[Desktop]` `[Local]` - Multi-client desktop/remote GUI agent with inspectable tool calls, branching-thread editable context, and plugin extensibility.
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- [Kiro](https://kiro.dev) `🚀` `[Cloud]` `[IDE]` - Spec-driven development agent that writes specs, auto-generates tasks, implements code, and automates DevOps workflows.
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- [Kolega Code](https://github.com/kolega-ai/kolega-code) `🔬` `[Python]` `[CLI]` - Terminal coding agent where the model writes its own multi-agent workflows across 15+ model providers.
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- [Open Interpreter](https://github.com/openinterpreter/openinterpreter) `🌱` `[Python]` `[CLI]` - Execute code locally via natural-language model instructions with a ChatGPT-like interface.
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- [opencode](https://github.com/anomalyco/opencode) `🌱` `[TypeScript]` `[Desktop]` - Open-source coding agent available as a desktop app with a visual interface.
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- [OpenHands](https://github.com/OpenHands/OpenHands) `🌱` `[Python]` `[Docker]` - AI-driven development platform that writes, tests, and deploys code autonomously.
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@@ -152,6 +153,7 @@ validated: false
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- [Kage](https://github.com/kage-core/Kage) `🌱` `[TypeScript]` `[MCP]` - Git-native memory for coding agents that stores decisions and fixes as repo files and verifies them against the codebase, withholding stale knowledge.
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- [LanceDB](https://github.com/lancedb/lancedb) `🌱` `[Rust]` `[Vector DB]` - Serverless vector search database embedded directly in the agent process with no infrastructure needed.
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- [Langmem](https://github.com/langchain-ai/langmem) `🌱` `[Python]` `[LangChain]` - Helps agents learn and adapt from their interactions over time with persistent memory.
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- [Lians](https://github.com/Lians-ai/Lians) `🔬` `[Python]` `[MCP]` - Gives any AI agent local-first memory with corrections, point-in-time recall, and inspectable history.
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- [Mem0](https://github.com/mem0ai/mem0) `🌱` `[Python]` `[Vector DB]` - Memory layer for AI applications with long-term, short-term, and semantic memory extraction.
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- [Remio](https://www.remio.ai/) `🔬` `[Desktop]` `[Memory]` - Local-first AI memory desktop app that parses files into searchable vector indexes.
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- [Memoir](https://github.com/zhangfengcdt/memoir) `🔬` `[Python]` `[Memory]` - Git-like versioned semantic memory for AI agents with branching and commits.
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@@ -175,7 +177,7 @@ validated: false
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## Multi-Agent Systems
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- [AgentVerse](https://github.com/OpenBMB/AgentVerse) `🌱` `[Python]` `[Multi-Agent]` - Framework for building custom multi-agent environments to accomplish collaborative tasks.
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- [EvoAgentX](https://github.com/EvoAgentX/EvoAgentX) `🌱` `[Python]` `[Multi-Agent]` - Evaluates and evolves agentic workflows over time using automatic optimization.
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- [EvoAgentX](https://github.com/ANative-Lab/EvoAgentX) `🌱` `[Python]` `[Multi-Agent]` - Evaluates and evolves agentic workflows over time using automatic optimization.
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- [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.
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- [Hivemoot](https://github.com/hivemoot/hivemoot) `🚀` `[Python]` `[GitHub]` - Autonomous agent teams that collaboratively build software on GitHub.
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- [MetaGPT](https://github.com/FoundationAgents/MetaGPT) `🌱` `[Python]` `[Multi-Agent]` - Simulates a full software company workflow from requirements to PRs using role-playing agents.
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@@ -205,11 +207,13 @@ The protocol layer that enables agents to discover tools, communicate with each
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- [HCS Agent Protocol](https://github.com/hashgraph/hedera-agent-kit-js) `🌱` `[TypeScript]` `[IDE]` - Hedera open standards for agent identity with trustless P2P communication and 187K+ verified agents.
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- [HIG Doctor](https://github.com/raintree-technology/hig-doctor) `🌱` `[TypeScript]` `[MCP]` - Apple HIG audit CLI and MCP server exposing design-guideline lookup and project audits for coding agents across SwiftUI, UIKit, React, Next.js, Flutter, Compose, HTML, and CSS.
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- [Hyper](https://github.com/hyperfx-ai/marketing-skills) `🌱` `[Cloud]` `[MCP]` - Open-source Agent Skills and a hosted MCP connecting agents to 200+ marketing integrations across paid ads, SEO, analytics, social, and image and video generation, with a human-approval gate on every action.
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- [Live Tennis API MCP](https://github.com/livetennisapi/livetennisapi-mcp) `🔬` `[TypeScript]` `[MCP]` - Exposes live tennis scores, fixtures, rankings, and head-to-head to agents, with market prices and win-probability on paid tiers.
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- [MCP Registry](https://github.com/modelcontextprotocol) `🌱` `[Python]` `[Multi-Agent]` - Official Model Context Protocol specification and server implementations for standardized tool access.
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- [mcp-nest](https://github.com/CharanBharathula/mcp-nest) `🌱` `[Python]` `[MCP]` - Unified Model Context Protocol (MCP) server for executing code and managing files.
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- [NotFair](https://notfair.co) `🚀` `[Cloud]` `[MCP]` - Hosted Google Ads MCP server for diagnosing, optimizing, and executing campaign changes via the Google Ads API with a human-approval gate.
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- [NotFair Skills](https://github.com/nowork-studio/NotFair) `🚀` `[TypeScript]` `[MCP]` - Open-source Claude Code skills for SEO, GEO, Google Ads, and Meta Ads, connecting to live data through Google Ads MCP, Meta Ads MCP, Google Search Console MCP, and Google Analytics (GA4) MCP.
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- [NotFair Skills](https://github.com/nowork-studio/notfair-plugin) `🚀` `[TypeScript]` `[MCP]` - Open-source Claude Code skills for SEO, GEO, Google Ads, and Meta Ads, connecting to live data through Google Ads MCP, Meta Ads MCP, Google Search Console MCP, and Google Analytics (GA4) MCP.
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- [Toolhouse](https://toolhouse.ai/en/) `🌱` `[Python]` `[Multi-Agent]` - Cloud-hosted tool infrastructure for agents with optimized execution and low-latency access.
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- [Xquik](https://github.com/Xquik-dev/x-twitter-scraper) `🔬` `[Cloud]` `[MCP]` - Hosted X Twitter data MCP for search, follower export, monitors, and confirmation-gated writes.
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- [Zapier MCP Server](https://zapier.com/mcp) `🌱` `[Cloud]` `[MCP]` - Connect agents to 7,000+ app integrations via MCP, powered by Zapier's automation platform.
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- [zero-api-key-web-search](https://github.com/wd041216-bit/zero-api-key-web-search) `🌱` `[Python]` `[MCP]` - Free web search toolkit for AI agents with no API keys, MCP server support.
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@@ -239,6 +243,7 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
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- [Agent Bounties](https://github.com/NSPG13/agent-bounties) `🔬` `[Rust]` `[MCP]` - Coordinates verifiable digital bounty workflows designed for agents to post, fund, claim, solve, verify, and earn.
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- [AgentDock](https://github.com/agentdock/agentdock) `🚀` `[Python]` `[Docker]` - Framework for building and deploying production-ready AI agents with composable node architecture.
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- [agent-qa](https://github.com/vostride/agent-qa) `🌱` `[TypeScript]` `[Testing]` - Runs natural-language web and mobile tests with persistent memory and UI-change adaptation.
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- [codex-profiles](https://github.com/Ducksss/codex-profiles) `🚀` `[Python]` `[OpenAI]` - Bash CLI for switching OpenAI Codex CLI and Desktop profiles with isolated CODEX_HOME directories.
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- [CompozyOS](https://github.com/compozy/compozy) `🚀` `[Go]` `[Multi-Agent]` - Runs agent CLIs as a team on loops and schedules, with shared memory, permissions and approvals in one self-hosted daemon.
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- [Crawl4AI](https://github.com/unclecode/crawl4ai) `🌱` `[Python]` `[Multi-Agent]` - Extracts structured data from web pages using LLM-friendly output formats optimized for agent ingestion.
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@@ -252,6 +257,7 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
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- [Notte](https://github.com/nottelabs/notte) `🚀` `[Python]` `[Pipeline]` - Browser automation engine optimized for production AI pipelines.
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- [Pilot Protocol](https://github.com/pilot-protocol/pilotprotocol) `🌱` `[Go]` `[Multi-Agent]` - Networking stack for distributed agent systems with encrypted tunnels.
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- [Playwright](https://github.com/microsoft/playwright) `🌱` `[TypeScript]` `[Testing]` - Automates Chromium, Firefox, and WebKit browsers with a single cross-language API for agent-driven testing.
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- [SandBase CLI](https://github.com/sandbaseai/cli) `🔬` `[TypeScript]` `[MCP]` - Connects coding agents to 2,000+ AI models through one onboarding command.
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- [ScrapeGraphAI](https://github.com/ScrapeGraphAI/Scrapegraph-ai) `🌱` `[Python]` `[LangChain]` - Python web-scraping library that uses LLMs to build intelligent scraping pipelines from natural-language instructions.
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- [Surya](https://github.com/datalab-to/surya) `🌱` `[Python]` `[CLI]` - Runs OCR and layout detection on documents in 90+ languages for multilingual document agents.
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- [Tavily](https://github.com/tavily-ai/tavily-python) `🌱` `[Python]` `[Multi-Agent]` - Search API purpose-built for LLM agents providing real-time, accurate web data with source citations.
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@@ -302,6 +308,7 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
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- [Patronus AI LYNX](https://patronus.ai/) `🌱` `[Cloud]` `[Testing]` - Hallucination detection system beating GPT-4 baselines, with specialized testing for agent outputs and LLM-generated content quality.
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- [Arize Phoenix](https://github.com/Arize-ai/phoenix) `🌱` `[Python]` `[Observability]` - Open-source observability platform built on OpenTelemetry for tracing, evaluating, and debugging AI agents.
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- [Braintrust](https://www.braintrust.dev) `🌱` `[TypeScript]` `[Evaluation]` - Eval-driven development platform with experiment tracking and prompt optimization for agent quality.
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- [ClawMetry](https://github.com/vivekchand/clawmetry) `🔬` `[Python]` `[Observability]` - Self-hosted observability and opt-in kill switch for coding agents, reading the session logs runtimes already write to disk ([website](https://clawmetry.com)).
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- [ElevenAgents](https://elevenlabs.io/agents) `🚀` `[Cloud]` `[Voice]` - Voice agent platform from ElevenLabs for customer support automation with HIPAA compliance and multi-language support.
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- [DriftGuard](https://github.com/sujal-maheshwari2004/DriftGuard) `🌱` `[Python]` `[Multi-Agent]` - Semantic memory guardrails using causal graphs to prevent agents from repeating past failures.
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- [Galley](https://github.com/shinpr/galley) `🔬` `[Go]` `[Multi-Agent]` - Pairs independently configured executors and supervisors with repository-defined quality gates and inspectable evidence for each coding attempt.
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@@ -330,7 +337,6 @@ Frontend workspaces and chat interfaces with built-in agent plugins and tool-use
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- [AionUi](https://github.com/iOfficeAI/AionUi) `🚀` `[Desktop]` `[Multi-Agent]` - Connects 20+ AI CLIs and any API key in a local, open-source multi-agent desktop workspace.
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- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) `🌱` `[TypeScript]` `[RAG]` - All-in-one AI application with RAG, agents, and multi-model support for desktop and Docker.
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- [Better Agent](https://github.com/ofekron/better-agent) `🔬` `[Desktop]` `[Multi-Agent]` - Manages Claude, Codex, and Gemini coding-agent sessions with parallel forks, delegation, persistence, and restart recovery.
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- [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) `🌱` `[Python]` `[Database]` - Data interaction platform with local LLM support for 100% private database and analytics agents.
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- [LibreChat](https://github.com/danny-avila/LibreChat) `🌱` `[TypeScript]` `[IDE]` - Self-hosted multi-model chat interface supporting all major AI providers with access control.
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- [LobeHub](https://lobehub.com/) `🌱` `[TypeScript]` `[Multi-Agent]` - Modern platform for hybrid work and AI-driven collaboration with extensible agent teams and rapid integration.
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@@ -338,6 +344,7 @@ Frontend workspaces and chat interfaces with built-in agent plugins and tool-use
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- [OpenHuman](https://github.com/tinyhumansai/openhuman) `🚀` `[Rust]` `[Memory]` - Self-hosted local-first personal AI assistant with a Rust core, desktop apps, knowledge-graph memory, skills, voice, and multi-channel messaging.
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- [Orkas](https://github.com/Orkas-AI/Orkas) `🔬` `[Desktop]` `[Multi-Agent]` - Runs parallel AI agents in a local-first desktop workspace with shared files, BYOK providers, and optional sync.
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- [OpenWebUI](https://github.com/open-webui/open-webui) `🌱` `[TypeScript]` `[RAG]` - Extensible local AI interface with built-in RAG, tool use, and support for multi-agent workflows.
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- [FutureOS](https://github.com/futuregene/future-os) `🔬` `[Rust]` `[CLI]` - One approval-gated AI agent spanning terminal, desktop, mobile, and chat clients on a shared local Rust backend.
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- [lucinate](https://github.com/lucinate-ai/lucinate) `🌱` `[Go]` `[TUI]` - Multi-backend terminal AI chat client for OpenClaw, Hermes, Ollama, and OpenAI-compatible APIs with routines, multi-agent switching, and local agent skills.
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## Agent Deployment and Hosting
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@@ -381,7 +388,7 @@ Notes: Several of these projects already appear elsewhere in this document (agen
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## Industry-Specific Agents
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Curated list of vertical agent solutions for finance, healthcare, legal, manufacturing, and government.
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Curated list of vertical agent solutions for finance, healthcare, legal, manufacturing, retail, and government.
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### Finance
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@@ -409,6 +416,10 @@ Curated list of vertical agent solutions for finance, healthcare, legal, manufac
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- [Siemens AI Ops](https://www.siemens.com/en-us/) `🚀` `[Cloud]` `[Multi-Agent]` - Factory-floor optimization and predictive maintenance agents.
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- [GE Predix Agents](https://www.ge.com/) `🚀` `[Cloud]` `[IDE]` - Equipment monitoring and incident prediction agents for industrial fleets.
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### Retail
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- [Duvo](https://www.duvo.ai) `🔬` `[Cloud]` `[Pipeline]` - Execution platform for grocery and retail operations across stores, replenishment, and existing systems.
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### Government & Compliance
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- Anthropic Government Agents - Policy analysis and public sector agents for regulated workflows (🏷️ `Cloud` `Government` `Enterprise`).
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@@ -623,6 +634,7 @@ Platforms for building, deploying, and scaling voice-based AI agents across call
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- [Deepgram](https://deepgram.com) `🌱` `[Cloud]` `[Pipeline]` - Sub-300ms speech-to-text and text-to-speech APIs purpose-built for real-time voice agent pipelines.
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- [ElevenLabs](https://elevenlabs.io) `🌱` `[Cloud]` `[RAG]` - Industry- voice AI with 75ms latency, Conversational AI 2.0, RAG, and HIPAA compliance.
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- [HeyGen](https://www.heygen.com) `🌱` `[Cloud]` `[IDE]` - Creates AI talking avatars with voice cloning and lip-sync for video-based agent interactions.
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- [Hermes](https://www.buildwithhermes.com) `🌱` `[Cloud]` `[Voice]` - White-label voice agent platform for agencies, bundling telephony, CRM, campaign orchestration, and usage billing so one team can run agents for many client brands.
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- [PolyAI](https://poly.ai/en) `🚀` `[Cloud]` `[Voice]` - Enterprise voice AI platform for natural multi-turn conversations with high-volume call handling.
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- [Retell AI](https://www.retellai.com) `🌱` `[Cloud]` `[Voice]` - Builds human-like voice agents with multi-language telephony support and low-latency responses.
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- [Synthesia](https://www.synthesia.io) `🌱` `[Cloud]` `[IDE]` - Generates AI video avatars that speak in 120+ languages for training and communication agents.
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@@ -689,7 +701,7 @@ All-in-one AI platforms providing access to agents, tools, and models through co
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- [Grok](https://x.ai/grok) `🌱` `[Cloud]` `[Multi-Agent]` - Real-time AI with live X data access, Grok Build for 8-agent parallel code generation, and image generation.
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- [Meta AI](https://meta.ai) `🚀` `[Cloud]` `[Multi-Agent]` - Llama-powered AI integrated across WhatsApp, Messenger, and Instagram for conversational assistance.
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- [Microsoft Copilot](https://copilot.microsoft.com) `🚀` `[Cloud]` `[Microsoft]` - AI assistant integrated into Office 365, Teams, and Power Platform for enterprise productivity workflows.
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- [Sistava](https://sistava.com/en/) `🌱` `[Cloud]` `[Voice]` - AI agent orchestration platform for deploying multi-channel agents across messaging, voice, and APIs with full Computer Use capabilities on your own OS.
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- [Sistava](https://sistava.com/) `🌱` `[Cloud]` `[Voice]` - AI agent orchestration platform for deploying multi-channel agents across messaging, voice, and APIs with full Computer Use capabilities on your own OS.
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## Open-Source Models for Agents
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promptadmin