Every AI Agent Framework.
One Page. Our Honest Take.
We build AI agents for a living. This is the reference we wish existed when we started — no hype, no affiliate links, just what works and when to use it.
Filter by your language or use case. Each entry has our take on when it shines and when to pick something else.
10 frameworks
LangGraph
by LangChainGraph-based agent workflows with state management, streaming, and human-in-the-loop support. Pairs with LangSmith for observability.
Rock-solid for complex multi-step workflows. The learning curve pays off at scale.
OpenClaw
by Peter Steinberger (OpenSource)Fastest growing repository on GitHub. Ever. Full agent runtime with workspace management, multi-channel messaging (Telegram, Discord, WhatsApp, Slack), skill system, and sub-agent orchestration.
We run our entire operation on it. It's what powers this page being written.
NemoClaw
by NVIDIA + OpenClawNVIDIA's enterprise security layer for OpenClaw. Adds sandboxed execution (OpenShell), network policy enforcement, filesystem isolation, and privacy-aware inference routing. Installs with a single command on top of any OpenClaw setup.
This is what makes OpenClaw viable for business. We deploy and manage NemoClaw for clients on Canadian infrastructure.
Dify
by LangGeniusFull visual platform for AI workflows. Drag-and-drop pipeline editor, built-in RAG, prompt management, and agent orchestration. Self-hostable.
Unbeatable for demos and MVPs. We use it to prototype before building custom.
OpenAI Agents SDK
by OpenAIThe production successor to Swarm. Minimal abstractions — agents, tools, and handoffs. Fastest path to shipping if you're already on OpenAI.
Great starting point. We often prototype here, then move to LangGraph or CrewAI as complexity grows.
CrewAI
by CrewAI IncRole-based agent teams. Define agents by role (researcher, writer, analyst), give them tools, and let them collaborate.
Fastest time-to-demo for clients. The role metaphor clicks immediately in business conversations.
Google ADK
by GoogleGoogle's agent framework with native Vertex AI integration. Supports Gemini and 20+ other models via LiteLLM. Rich tool ecosystem including MCP.
Still new (Apr 2025), but the tool interop is impressive. You can use LangChain tools, LlamaIndex, even other agents as tools.
Microsoft Agent Framework
by MicrosoftAutoGen + Semantic Kernel unified into one framework. Azure-native with the enterprise governance features large orgs actually need. GA Q1 2026.
The conversational agent pattern — agents talking to each other — is genuinely useful for complex reasoning tasks.
smolagents
by HuggingFaceAgents that think in code. Minimal abstractions, very Pythonic. If your team lives in notebooks and prefers writing code over configuring YAML, this is it.
Delightfully simple. The 'agents write code' paradigm feels natural for technical users.
Mastra
by Mastra AIThe TypeScript-native agent framework. First-class option if your backend is Node.js and you don't want to maintain a Python service just for agents.
Refreshing to see a first-class TS framework. The ecosystem is smaller but growing fast.
Managed Platforms & Services
Paid platforms where someone else handles the infrastructure. Ship agents without managing servers.
10 platforms
Lindy
by Lindy AIPersonal AI work assistant you text via iMessage or SMS. Autonomously manages your inbox, drafts replies in your voice, handles meeting scheduling and note-taking across hundreds of integrations.
The most polished personal agent on the market right now — if you live in email and meetings, it's hard to beat.
Devin
by Cognition AIAutonomous AI software engineer that takes tasks end-to-end — reading codebases, writing code, running tests, debugging, and shipping PRs. Works asynchronously in sandboxed environments.
Still the most serious autonomous coding agent in production; the price drop from $500/mo made it worth trying for any team.
Relevance AI
by Relevance AIBuild and deploy AI agent teams using a low-code visual builder. Agents use tools, browse the web, call APIs, and work together on sales, support, and ops workflows.
One of the most production-ready agent platforms for non-engineers; the team-of-agents model is genuinely novel.
Voiceflow
by VoiceflowDesign, build, and deploy customer-facing AI agents across chat, voice, and web. Balances deterministic conversation flows with agentic playbooks.
The go-to for production customer experience agents — not the flashiest, but battle-tested by real enterprise deployments.
CrewAI AMP
by CrewAIManaged cloud platform on top of the open-source CrewAI framework. Adds a visual editor, agent lifecycle management, tracing, guardrails, and enterprise deployment.
The cleanest bridge from open-source experimentation to real production.
Retell AI
by Retell AIBuild and deploy AI voice agents for inbound and outbound phone calls. Handles customer service, appointment scheduling, lead qualification with real-time speech and interruption handling.
Best-in-class voice agent platform right now; the per-minute pricing model is refreshingly transparent.
Sierra
by Sierra AIAI customer experience agents for large enterprises. Outcome-based pricing tied to resolved conversations rather than compute. Used by major consumer brands for tier-1 support.
Outcome-based pricing is the right model for this category; you only pay for success.
Agentforce
by SalesforceSalesforce's native AI agent platform. Deploy autonomous agents across sales, service, marketing, and commerce — all grounded in CRM data.
The most credible enterprise agent play because it has real data access.
Gumloop
by GumloopNo-code AI automation platform with a visual node-based editor. Connect tools, LLMs, and subflows to build agents for marketing, data, and ops workflows.
The best Zapier replacement for teams that actually want AI doing the thinking, not just the routing.
Stack AI
by Stack AIEnterprise AI agent builder with no-code and low-code interfaces. SOC 2, HIPAA, GDPR compliant with on-prem and VPC deployment options.
Not the sexiest UI but one of the few platforms that can genuinely say yes to a hospital's compliance checklist.
Persona & Skill Libraries
Pre-built agent personas and design skills. Don't start from scratch.
Agency Agents
51 personas51 pre-built agent personas — frontend dev, backend dev, security engineer, growth hacker, community manager, and more. Drop-in SOUL.md files compatible with OpenClaw, Claude Code, and similar workspace-based tools.
Great starting point for persona design. Browse even if you don't use them directly.GitHub →
Impeccable
18 commandsFrontend design skill for AI coding tools. Commands like /distill (simplify UI), /colorize (brand colors), /animate, and /delight. Makes vibe-coded UIs look intentional instead of generic.
Install this if you're using Claude Code or Cursor for frontend work. The difference is noticeable.GitHub →
Google ADK Skills
GoogleDevelopment skills covering APIs, coding patterns, deployment, and evaluation. Works with Gemini CLI, Claude Code, and Cursor.
Useful reference for structuring your own dev skills.GitHub →
Testing, Security & Memory
The tooling that keeps agents from going off the rails.
PromptFoo
Unit testing + red teaming for LLM prompts and agents. Compare prompts across models, run automated security scans, and integrate with CI/CD. Acquired by OpenAI in Mar 2026 — stays open source.
npx promptfoo@latest initEvery production AI app should run PromptFoo before shipping. We use it for our own agents.
OpenViking
ByteDance's context database for agents. Tiered loading (L0/L1/L2) dramatically reduces token consumption. Filesystem-based with auto-compression and self-evolving memory.
Watch this one. The tiered loading concept is the right direction for cost-conscious agent deployments.
Mem0
Memory layer for AI agents. Persistent memory across sessions, user preference tracking, and conversation history management.
Useful if your agent needs to remember users across conversations without building your own memory system.
Quick Picks
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Maintained by GTA Labs · Toronto · Updated March 2026
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