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@@ -2,9 +2,9 @@
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title: "Changelog"
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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/539ec1dc/CHANGELOG.md
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upstream_sha: 539ec1dc
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imported_at: 2026-06-26
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upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/3049e99c/CHANGELOG.md
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upstream_sha: 3049e99c
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imported_at: 2026-07-22
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prompt_class: catalogue
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upstream_changes: accepted
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author: upstream
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@@ -23,6 +23,7 @@ All notable changes to this list will be documented here.
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| Date | Change |
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|---|---|
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| July 22 2026 | **Link audit** β Updated 7 redirected URLs (Open Interpreter, Remio, Toolhouse, Pilot Protocol, LLMGraph, Agent Learning Kit, Lavender) and removed the dead Agent Starter entry. |
|
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| June 26 2026 | **Style reformatting** β Converted all 407 tool entries to the new compact format: `` `TIER` `[Language]` `[Type]` `` replacing the legacy `(π·οΈ ...)` tag style. Tier badges (`π` Production-Ready, `π±` Growing, `π¬` Emerging) applied consistently across all sections. Descriptions trimmed to one clear sentence, promotional language removed. Zero duplicate links. Full awesome-lint structural compliance maintained. |
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| June 07 2026 | Performed link audit: fixed redirected URLs (including Bland AI, Podman, Strands Agents, Google ADK, Mistral, Railway, Sistava, Windsurf, Nuance, ADK loop-agents), updated Project Glasswing to correct official link, and removed dead TinyTools link. |
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| May 25 2026 | Added Sistava to Multi-Agent Consumer Platforms. |
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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/91ecee02/README.md
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upstream_sha: 91ecee02
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imported_at: 2026-07-13
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upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/3049e99c/README.md
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upstream_sha: 3049e99c
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imported_at: 2026-07-22
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prompt_class: catalogue
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upstream_changes: accepted
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author: upstream
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@@ -68,6 +68,8 @@ validated: false
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- [Changelog](#changelog)
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- [Star History](#star-history)
|
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|
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|
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|
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## Orchestration Frameworks
|
||||
|
||||
- [Agency Swarm](https://github.com/VRSEN/agency-swarm) `π` `[Python]` `[Multi-Agent]` - Orchestrates multi-agent systems built on the OpenAI Assistants API with role-based collaboration.
|
||||
@@ -118,8 +120,9 @@ validated: false
|
||||
- [GitHub Copilot](https://github.com/features/copilot) `π±` `[TypeScript]` `[VS Code]` - Agent Mode in VS Code with Copilot Workspace for issue-to-PR workflows across Claude, GPT, and Gemini.
|
||||
- [Goose](https://github.com/aaif-goose/goose) `π±` `[Rust]` `[CLI]` - Extensible open-source CLI agent that installs, executes, edits, and tests with any LLM.
|
||||
- [JetBrains AI](https://www.jetbrains.com/ai/) `π±` `[Kotlin]` `[JetBrains]` - Deep AI integration across all JetBrains IDEs with context-aware completions and refactoring.
|
||||
- [Juggler](https://github.com/juggler-ai/juggler) `π±` `[Desktop]` `[Local]` - Multi-client desktop/remote GUI agent with inspectable tool calls, branching-thread editable context, and plugin extensibility.
|
||||
- [Kiro](https://kiro.dev) `π` `[Cloud]` `[IDE]` - Spec-driven development agent that writes specs, auto-generates tasks, implements code, and automates DevOps workflows.
|
||||
- [Open Interpreter](https://github.com/openinterpreter/open-interpreter) `π±` `[Python]` `[CLI]` - Execute code locally via natural-language model instructions with a ChatGPT-like interface.
|
||||
- [Open Interpreter](https://github.com/openinterpreter/openinterpreter) `π±` `[Python]` `[CLI]` - Execute code locally via natural-language model instructions with a ChatGPT-like interface.
|
||||
- [opencode](https://github.com/anomalyco/opencode) `π±` `[TypeScript]` `[Desktop]` - Open-source coding agent available as a desktop app with a visual interface.
|
||||
- [OpenHands](https://github.com/OpenHands/OpenHands) `π±` `[Python]` `[Docker]` - AI-driven development platform that writes, tests, and deploys code autonomously.
|
||||
- [PR-Agent](https://github.com/The-PR-Agent/pr-agent) `π` `[Python]` `[GitHub]` - Open-source AI PR reviewer that auto-describes, reviews, and improves pull requests.
|
||||
@@ -139,12 +142,13 @@ validated: false
|
||||
- [Chroma](https://github.com/chroma-core/chroma) `π±` `[Python]` `[Vector DB]` - Lightweight, embeddable vector store for building memory-augmented AI agents with fast semantic retrieval.
|
||||
- [cognee](https://github.com/topoteretes/cognee) `π±` `[Python]` `[Graph-Based]` - Knowledge engine for AI agent memory, set up in 6 lines of code with graph-based knowledge extraction.
|
||||
- [Cortex Memory](https://github.com/prem-research/cortex) `π±` `[Python]` `[Vector DB]` - Full-stack solution for agent memory covering extraction, vector search, and optimization.
|
||||
- [Engrava](https://github.com/sovantica/engrava) `π¬` `[Python]` `[Graph-Based]` - Stores agent memory as a typed knowledge graph with hybrid search and a tamper-evident journal, embedded in SQLite.
|
||||
- [graphiti](https://github.com/getzep/graphiti) `π±` `[Python]` `[Multi-Agent]` - Build real-time knowledge graphs for AI agents with automatic entity extraction and linking.
|
||||
- [Kage](https://github.com/kage-core/Kage) `π±` `[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.
|
||||
- [LanceDB](https://github.com/lancedb/lancedb) `π±` `[Rust]` `[Vector DB]` - Serverless vector search database embedded directly in the agent process with no infrastructure needed.
|
||||
- [Langmem](https://github.com/langchain-ai/langmem) `π±` `[Python]` `[LangChain]` - Helps agents learn and adapt from their interactions over time with persistent memory.
|
||||
- [Mem0](https://github.com/mem0ai/mem0) `π±` `[Python]` `[Vector DB]` - Memory layer for AI applications with long-term, short-term, and semantic memory extraction.
|
||||
- [Remio](https://remio.ai/) `π¬` `[Desktop]` `[Memory]` - Local-first AI memory desktop app that parses files into searchable vector indexes.
|
||||
- [Remio](https://www.remio.ai/) `π¬` `[Desktop]` `[Memory]` - Local-first AI memory desktop app that parses files into searchable vector indexes.
|
||||
- [Memoir](https://github.com/zhangfengcdt/memoir) `π¬` `[Python]` `[Memory]` - Git-like versioned semantic memory for AI agents with branching and commits.
|
||||
- [Memvid](https://github.com/memvid/memvid) `π±` `[Python]` `[RAG]` - Replace complex RAG pipelines with a serverless, single-file memory layer for instant retrieval.
|
||||
- [Milvus](https://github.com/milvus-io/milvus) `π±` `[Go]` `[Vector DB]` - Scales vector search to billions of embeddings for large-scale agent knowledge bases.
|
||||
@@ -199,7 +203,7 @@ The protocol layer that enables agents to discover tools, communicate with each
|
||||
- [mcp-nest](https://github.com/CharanBharathula/mcp-nest) `π±` `[Python]` `[MCP]` - Unified Model Context Protocol (MCP) server for executing code and managing files.
|
||||
- [NotFair](https://notfair.co) `π` `[Cloud]` `[MCP]` - Hosted Google Ads MCP server for diagnosing, optimizing, and executing campaign changes via the Google Ads API with a human-approval gate.
|
||||
- [NotFair Skills](https://github.com/nowork-studio/NotFair) `π` `[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.
|
||||
- [Toolhouse](https://toolhouse.ai) `π±` `[Python]` `[Multi-Agent]` - Cloud-hosted tool infrastructure for agents with optimized execution and low-latency access.
|
||||
- [Toolhouse](https://toolhouse.ai/en/) `π±` `[Python]` `[Multi-Agent]` - Cloud-hosted tool infrastructure for agents with optimized execution and low-latency access.
|
||||
- [Zapier MCP Server](https://zapier.com/mcp) `π±` `[Cloud]` `[MCP]` - Connect agents to 7,000+ app integrations via MCP, powered by Zapier's automation platform.
|
||||
- [zero-api-key-web-search](https://github.com/wd041216-bit/zero-api-key-web-search) `π±` `[Python]` `[MCP]` - Free web search toolkit for AI agents with no API keys, MCP server support.
|
||||
|
||||
@@ -229,7 +233,8 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
|
||||
|
||||
- [Agent Bounties](https://github.com/NSPG13/agent-bounties) `π¬` `[Rust]` `[MCP]` - Coordinates verifiable digital bounty workflows designed for agents to post, fund, claim, solve, verify, and earn.
|
||||
- [AgentDock](https://github.com/agentdock/agentdock) `π` `[Python]` `[Docker]` - Framework for building and deploying production-ready AI agents with composable node architecture.
|
||||
- [Agent Starter](https://github.com/raintree-technology/agent-starter) `π±` `[TypeScript]` `[MCP]` - Project-local config manager that syncs one `agent.json` manifest into Claude Code, Codex, Cursor, and MCP setup while preserving manual edits and detecting drift.
|
||||
- [AgentServices](https://agentservices.to) `π` `[Python]` `[x402]` - Paid data APIs for AI agents with 54 services, 37 MCP tools, and x402 nanopayments on Base. Market data, onchain analytics, AI inference, and research.
|
||||
- [AgentWork](https://agentwork-api.yfoob.chatgpt.site/) `π¬` `[Cloud]` `[x402]` - Aggregates verified paid work opportunities for autonomous agents, with a 0.005 Polygon USDC/hour x402 API for full decision context.
|
||||
- [codex-profiles](https://github.com/Ducksss/codex-profiles) `π` `[Python]` `[OpenAI]` - Bash CLI for switching OpenAI Codex CLI and Desktop profiles with isolated CODEX_HOME directories.
|
||||
- [Crawl4AI](https://github.com/unclecode/crawl4ai) `π±` `[Python]` `[Multi-Agent]` - Extracts structured data from web pages using LLM-friendly output formats optimized for agent ingestion.
|
||||
- [Docling](https://github.com/docling-project/docling) `π±` `[Python]` `[IDE]` - Parses PDFs, DOCX, and slides into structured text with deep layout understanding for document agents.
|
||||
@@ -240,7 +245,7 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
|
||||
- [LlamaParse](https://github.com/run-llama/llama_cloud_services) `π±` `[Python]` `[RAG]` - GenAI-native document parser designed to extract complex tables and layouts for RAG pipelines.
|
||||
- [Marker](https://github.com/datalab-to/marker) `π±` `[Python]` `[CLI]` - Converts PDF documents to markdown with high accuracy for tables, equations, and figures.
|
||||
- [Notte](https://github.com/nottelabs/notte) `π` `[Python]` `[Pipeline]` - Browser automation engine optimized for production AI pipelines.
|
||||
- [Pilot Protocol](https://github.com/TeoSlayer/pilotprotocol) `π±` `[Go]` `[Multi-Agent]` - Networking stack for distributed agent systems with encrypted tunnels.
|
||||
- [Pilot Protocol](https://github.com/pilot-protocol/pilotprotocol) `π±` `[Go]` `[Multi-Agent]` - Networking stack for distributed agent systems with encrypted tunnels.
|
||||
- [Playwright](https://github.com/microsoft/playwright) `π±` `[TypeScript]` `[Testing]` - Automates Chromium, Firefox, and WebKit browsers with a single cross-language API for agent-driven testing.
|
||||
- [ScrapeGraphAI](https://github.com/ScrapeGraphAI/Scrapegraph-ai) `π±` `[Python]` `[LangChain]` - Python web-scraping library that uses LLMs to build intelligent scraping pipelines from natural-language instructions.
|
||||
- [Surya](https://github.com/datalab-to/surya) `π±` `[Python]` `[CLI]` - Runs OCR and layout detection on documents in 90+ languages for multilingual document agents.
|
||||
@@ -257,7 +262,8 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
|
||||
- [Flowise](https://github.com/FlowiseAI/Flowise) `π±` `[TypeScript]` `[RAG]` - Open-source drag-and-drop UI to build customized LLM flows, RAG pipelines, and agent systems.
|
||||
- [Langflow](https://github.com/langflow-ai/langflow) `π±` `[Python]` `[RAG]` - Visual drag-and-drop builder for LLM workflows, RAG agents, and multi-step pipelines.
|
||||
- [Lindy](https://www.lindy.ai) `π±` `[Cloud]` `[No-Code]` - No-code AI agent platform with 3000+ app integrations for business workflow automation.
|
||||
- [LLMGraph](https://llmgraph.ai) `π¬` `[Cloud]` `[RAG]` - Visual canvas for building RAG chatbots and AI agents with one-click deploy to REST API or chat widget.
|
||||
- [LlamaIndex Workflows](https://docs.llamaindex.ai/en/stable/module_guides/workflow/) `π±` `[Python]` `[RAG]` - Event-driven orchestration framework for building complex agentic systems.
|
||||
- [LLMGraph](https://llmgraph.ai/home) `π¬` `[Cloud]` `[RAG]` - Visual canvas for building RAG chatbots and AI agents with one-click deploy to REST API or chat widget.
|
||||
- [Make](https://www.make.com/en) `π±` `[Cloud]` `[RAG]` - Visual workflow automation platform with AI capabilities and drag-and-drop scenario builder.
|
||||
- [n8n](https://github.com/n8n-io/n8n) `π±` `[TypeScript]` `[Docker]` - Open-source workflow automation with AI agent nodes combining visual and code-based orchestration.
|
||||
- [Relevance AI](https://relevanceai.com) `π±` `[Cloud]` `[No-Code]` - No-code AI agent builder for sales, support, and research use cases with team collaboration.
|
||||
@@ -299,11 +305,14 @@ Sandboxes, web scrapers, browser automation, and networking layers that agents d
|
||||
- [LangSmith](https://smith.langchain.com) `π` `[Cloud]` `[LangChain]` - LangChain platform for tracing, testing, and evaluating agent performance with production monitoring.
|
||||
- [LLM Guard](https://github.com/protectai/llm-guard) `π±` `[Python]` `[Security]` - Security toolkit for scanning LLM inputs and outputs to prevent prompt injection and data leaks.
|
||||
- [Logfire](https://github.com/pydantic/logfire) `π±` `[Python]` `[Pydantic]` - Python-native observability from the Pydantic team with deep integration for high-performance agent monitoring.
|
||||
- [MartinLoop](https://github.com/Keesan12/martin-loop) `π¬` `[TypeScript]` `[Compliance]` - Governs autonomous coding agents, turning open-ended runs into budgeted, verified software work with signed outcome receipts.
|
||||
- [NeMo Guardrails](https://github.com/NVIDIA-NeMo/Guardrails) `π±` `[Python]` `[Multi-Agent]` - NVIDIA programmable guardrails toolkit for controlling and securing LLM-powered agent conversations.
|
||||
- [Orchard Kit](https://github.com/OrchardHarmonics/orchard-kit) `π±` `[Python]` `[Security]` - Modules for agent runtime security, self-audit trails, and collective cognition patterns.
|
||||
- [OWASP Top 10 for Agentic Apps](https://owasp.org/www-project-top-10-for-large-language-model-applications/) `π±` `[Python]` `[Security]` - Security framework covering goal hijacking, tool misuse, and cascading failure mitigations for agents.
|
||||
- [Pluribus](https://github.com/caioribeiroclw-pixel/pluribus) `π¬` `[TypeScript]` `[Observability]` - Generates cross-tool agent context and privacy-safe evidence receipts for loaded authority, handoffs, and skill use.
|
||||
- [Rebuff](https://github.com/protectai/rebuff) `π±` `[Python]` `[Security]` - Self-hardening prompt injection detection system for securing agent inputs against adversarial attacks.
|
||||
- [Agent Learning Kit](https://github.com/future-agi/agent-learning-kit) `π±` `[Python]` `[Evaluation]` - LLM evaluation framework with 50+ metrics, LLM-as-Judge, and guardrail scanners (jailbreak, PII, injection).
|
||||
- [Shipmoor](https://shipmoor.dev) `π¬` `[Python]` `[Testing]` - Local, deterministic verification layer for AI agent code: scans, test evidence, and a binding merge verdict without uploading source.
|
||||
- [ai-evaluation](https://github.com/future-agi/ai-evaluation) `π±` `[Python]` `[Evaluation]` - LLM evaluation framework with 50+ metrics, LLM-as-Judge, and guardrail scanners (jailbreak, PII, injection).
|
||||
- [Future AGI](https://github.com/future-agi/future-agi) `π±` `[Python]` `[Self-Hosted]` - Self-hostable end-to-end agent engineering platform with tracing, evals, guardrails, and gateway.
|
||||
|
||||
@@ -313,12 +322,15 @@ Frontend workspaces and chat interfaces with built-in agent plugins and tool-use
|
||||
|
||||
- [AionUi](https://github.com/iOfficeAI/AionUi) `π` `[Desktop]` `[Multi-Agent]` - Connects 20+ AI CLIs and any API key in a local, open-source multi-agent desktop workspace.
|
||||
- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) `π±` `[TypeScript]` `[RAG]` - All-in-one AI application with RAG, agents, and multi-model support for desktop and Docker.
|
||||
- [Better Agent](https://github.com/ofekron/better-agent) `π¬` `[Desktop]` `[Multi-Agent]` - Manages Claude, Codex, and Gemini coding-agent sessions with parallel forks, delegation, persistence, and restart recovery.
|
||||
- [DB-GPT](https://github.com/eosphoros-ai/DB-GPT) `π±` `[Python]` `[Database]` - Data interaction platform with local LLM support for 100% private database and analytics agents.
|
||||
- [LibreChat](https://github.com/danny-avila/LibreChat) `π±` `[TypeScript]` `[IDE]` - Self-hosted multi-model chat interface supporting all major AI providers with access control.
|
||||
- [LobeHub](https://lobehub.com/) `π±` `[TypeScript]` `[Multi-Agent]` - Modern platform for hybrid work and AI-driven collaboration with extensible agent teams and rapid integration.
|
||||
- [LobeChat](https://github.com/lobehub/lobehub) `π±` `[TypeScript]` `[Multi-Agent]` - Modern, open-source AI chat framework with a massive plugin ecosystem for autonomous agent capabilities.
|
||||
- [OpenHuman](https://github.com/tinyhumansai/openhuman) `π` `[Rust]` `[Memory]` - Self-hosted local-first personal AI assistant with a Rust core, desktop apps, knowledge-graph memory, skills, voice, and multi-channel messaging.
|
||||
- [Orkas](https://github.com/Orkas-AI/Orkas) `π¬` `[Desktop]` `[Multi-Agent]` - Runs parallel AI agents in a local-first desktop workspace with shared files, BYOK providers, and optional sync.
|
||||
- [OpenWebUI](https://github.com/open-webui/open-webui) `π±` `[TypeScript]` `[RAG]` - Extensible local AI interface with built-in RAG, tool use, and support for multi-agent workflows.
|
||||
- [lucinate](https://github.com/lucinate-ai/lucinate) `π±` `[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.
|
||||
|
||||
## Agent Deployment and Hosting
|
||||
|
||||
@@ -389,6 +401,7 @@ Curated list of vertical agent solutions for finance, healthcare, legal, manufac
|
||||
### Government & Compliance
|
||||
|
||||
- Anthropic Government Agents - Policy analysis and public sector agents for regulated workflows (π·οΈ `Cloud` `Government` `Enterprise`).
|
||||
- [Leyna](https://www.leyna.ai) `π±` `[Cloud]` `[Government]` - Public records request agent for government agencies to parse, redact, and track requests.
|
||||
- Tax & Insurance Agent Platforms - Generic category placeholder for compliance-focused tax and underwriting agents (π·οΈ `Cloud` `Compliance` `Enterprise`).
|
||||
|
||||
## Learning Resources
|
||||
@@ -409,6 +422,7 @@ Curated list of vertical agent solutions for finance, healthcare, legal, manufac
|
||||
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629) `π±` `[Python]` `[Paper]` - The foundational paper behind the ReAct prompting pattern used in most agent frameworks.
|
||||
- [Reflexion](https://github.com/noahshinn/reflexion) `π±` `[Python]` `[Paper]` - Research framework letting agents learn from past mistakes via iterative verbal self-reflection loops.
|
||||
- [Tree of Thoughts](https://github.com/princeton-nlp/tree-of-thought-llm) `π±` `[Python]` `[Paper]` - Explores multiple parallel reasoning paths before committing to a final answer for complex problems.
|
||||
- [What's Missing in Autonomous Research?](https://haizhaoyang.github.io/research/autoresearch-survey.html) `π¬` `[Python]` `[Research]` - Systematizes 56 autonomous research systems across seven axes, showing most can generate but few can defend research artifacts.
|
||||
|
||||
## Agent Communication
|
||||
|
||||
@@ -554,6 +568,7 @@ AI agents that automate customer support, CRM workflows, sales outreach, and tic
|
||||
- [Assembled](https://www.assembled.com) `π` `[Cloud]` `[Multi-Agent]` - Routes support tickets with workforce-aware scheduling and intelligent handoff to human agents.
|
||||
- [Dixa](https://www.dixa.com) `π` `[Cloud]` `[Multi-Agent]` - CRM-first conversational support platform with AI-powered routing and customer context enrichment.
|
||||
- [Freshdesk Freddy AI](https://www.freshworks.com/freshdesk/omni/freddy-ai-automation/) `π±` `[Cloud]` `[Multi-Agent]` - Auto-triages and routes support tickets with smart AI suggestions for budget-conscious SMB teams.
|
||||
- [Hellomatik](https://hellomatik.com) `π±` `[Cloud]` `[Multi-Agent]` - Turns company knowledge into agents that answer, book, and sell across WhatsApp, phone, email, and web.
|
||||
- [Intercom Fin](https://fin.ai) `π` `[Cloud]` `[Multi-Agent]` - Resolves 50% of SaaS support tickets by learning directly from your help center and knowledge base.
|
||||
- [Zendesk AI](https://www.zendesk.com/service/ai/) `π` `[Cloud]` `[Multi-Agent]` - Automates 30% of enterprise support tickets with deep integration into the existing Zendesk ecosystem.
|
||||
|
||||
@@ -576,7 +591,7 @@ AI agents that automate customer support, CRM workflows, sales outreach, and tic
|
||||
- [BuyWhere](https://buywhere.ai) `π±` `[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) `π±` `[Cloud]` `[IDE]` - Enriches leads from 70+ data providers and generates hyper-personalized outreach at scale.
|
||||
- [Instantly](https://instantly.ai) `π±` `[Cloud]` `[Multi-Agent]` - Generates AI cold emails with smart sender rotation and built-in domain warmup for deliverability.
|
||||
- [Lavender](https://www.lavender.ai) `π±` `[Cloud]` `[Multi-Agent]` - Coaches email writing in real-time with AI response scoring and recipient intelligence.
|
||||
- [Lavender](https://lavender.ai/) `π±` `[Cloud]` `[Multi-Agent]` - Coaches email writing in real-time with AI response scoring and recipient intelligence.
|
||||
- [Overloop CLI](https://overloop.com) `π±` `[Cloud]` `[CLI]` - AI outbound CLI agent that sources 450M+ contacts and runs email plus LinkedIn campaigns with JSON output.
|
||||
|
||||
## Voice Agent Platforms
|
||||
@@ -641,6 +656,7 @@ Platforms that generate full-stack applications, components, or web apps from na
|
||||
- [PlayCode Agent](https://playcode.io) `π±` `[Cloud]` `[Multi-Agent]` - Browser-only lightweight web app creation tool with AI-assisted code generation.
|
||||
- [Replit Agent](https://replit.com/agent4) `π±` `[Cloud]` `[Multi-Agent]` - Builds and deploys full-stack projects from prompts with integrated hosting and collaboration.
|
||||
- [v0 by Vercel](https://v0.app) `π` `[Cloud]` `[CLI]` - Generates React and Tailwind UI components from text descriptions with one-click Vercel deployment.
|
||||
- [VibeKit.bot](https://vibekit.bot) `π¬` `[Cloud]` `[Stateful]` - Builds and hosts full-stack apps from phone chat, with a persistent per-app agent and BYOK keys.
|
||||
|
||||
## Multi-Agent Consumer Platforms
|
||||
|
||||
@@ -749,6 +765,7 @@ Key data points on the AI agent market covering adoption, growth, valuations, an
|
||||
|
||||
Tools for running LLMs locally and self-hosting AI agent platforms with full privacy and control.
|
||||
|
||||
- [Avelina](https://avelina.ai) `π±` `[TypeScript]` `[Telegram]` - Self-hosted personal AI assistant on your own VPS that lives in Telegram, with persistent long-term memory, voice, and Claude-powered reasoning.
|
||||
- [GPT4All](https://github.com/nomic-ai/gpt4all) `π±` `[C++]` `[Local]` - Open-source local chat application that runs LLMs on consumer hardware without cloud dependencies.
|
||||
- [Jan](https://github.com/janhq/jan) `π±` `[TypeScript]` `[Local]` - Open-source ChatGPT alternative that runs 100% offline with local model management and privacy guarantees.
|
||||
- [Llamafile](https://github.com/mozilla-ai/llamafile) `π±` `[C++]` `[Local]` - Distributes LLMs as single executable files with zero setup required from Mozilla.
|
||||
@@ -807,6 +824,7 @@ Curated newsletters, podcasts, and communities for staying current with AI agent
|
||||
- [r/ClaudeAI](https://www.reddit.com/r/ClaudeAI/) `π±` `[Python]` `[Multi-Agent]` - Reddit community for Claude users sharing agent workflows, prompts, and integration patterns.
|
||||
- [r/LangChain](https://www.reddit.com/r/LangChain/) `π±` `[Python]` `[LangChain]` - Reddit community for agent developers using LangChain, LangGraph, and related frameworks.
|
||||
- [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/) `π±` `[Cloud]` `[IDE]` - Reddit community for self-hosted LLM users sharing local deployment and agent setup guides.
|
||||
- [The Agents Index](https://theagentsindex.com) `π¬` `[Cloud]` `[Multi-Agent]` - Compares AI agent tools with sourced pricing, verdicts, and pros/cons in a researched, quality-gated directory.
|
||||
- [The Rundown AI](https://www.therundown.ai) `π±` `[Python]` `[RAG]` - Daily AI digest reaching 600K+ subscribers with concise coverage of agent news and launches.
|
||||
|
||||
- [Agents Launchpad](https://launchpad.smartbizcalc.com) `π±` `[Python]` `[Multi-Agent]` - Community-curated directory of indie AI agents and tools.
|
||||
|
||||
Reference in New Issue
Block a user