Best Agent framework Tools
Compare 6 top-rated agent framework tools. Find features, pricing, pros, cons, and alternatives.
🏆 Top Tools in This Category
Deep Agents
Open-source LangChain framework for agents that plan, manage files and delegate.
Google ADK
Google’s development kit for constructing, evaluating, and deploying modular AI agents.
Letta
Stateful agent framework and cloud from the MemGPT team — agents that actually remember across sessions.
Memstate AI
Agent memory with git-like version control — turns conversations into structured facts with conflict detection and 80% fewer tokens than RAG/graph memory.
Nanobot
Self-hosted personal AI agent runtime — chat via WebUI or Telegram/Discord/Slack, use tools, remember with Dream, and run long-horizon automations.
smolagents
Minimalist agent framework from Hugging Face where the agent writes and executes Python code as its actions.
Agent framework tools
Google ADK
Google’s development kit for constructing, evaluating, and deploying modular AI agents.
Key Features:
- •Multi-language SDKs: Python 2.0 Beta, TypeScript 1.0, Go, and Java
- •LLM agents, sequential, parallel, loop, and custom workflow agents
- •Built-in evaluation framework with criteria, user simulation, and environment simulation
Free
Letta
Stateful agent framework and cloud from the MemGPT team — agents that actually remember across sessions.
Key Features:
- •Persistent agents instead of stateless chat sessions
- •Memory palace for viewing an agent’s memory
- •Background memory agents / dream agents that refine prompts, context, and skills over time
Free: $0/month: limited agents, limited Letta Auto usage, bring your own API keys and external coding plans. | Pro: $20/month: Letta Auto weekly and monthly quota, pay-as-you-go overage, and up to 20 stateful agents. | Teams / Enterprise: Contact Letta for managed per-seat pricing for Letta Code and business deployment needs.
smolagents
Minimalist agent framework from Hugging Face where the agent writes and executes Python code as its actions.
Key Features:
- •Python code generation
- •Tool calling framework
- •Managed-agent composition
The library is free under Apache 2.0; model inference, sandbox providers, compute, storage, and operations cost extra.
Nanobot
Self-hosted personal AI agent runtime — chat via WebUI or Telegram/Discord/Slack, use tools, remember with Dream, and run long-horizon automations.
Key Features:
- •Self-hosted AI agent runtime with WebUI and terminal interfaces
- •Native bridges to Telegram, Discord, Slack, WeChat, Email, Mattermost
- •Built-in tools: files, shell, web search, web fetch, MCP, cron, image gen, sub-agents
Custom
Deep Agents
Open-source LangChain framework for agents that plan, manage files and delegate.
Key Features:
- •Hierarchical task planning and progress tracking
- •Filesystem tools for context and artifacts
- •Subagents with isolated instructions and context
Open-source framework with no standalone subscription price; model APIs, hosting, storage, tracing, and deployment are separate costs.
Memstate AI
Agent memory with git-like version control — turns conversations into structured facts with conflict detection and 80% fewer tokens than RAG/graph memory.
Key Features:
- •Hierarchical keypaths
- •Version history and attribution
- •Automatic conflict detection
Free is $0; Pro is $29/month; Scale is $199/month; Enterprise is custom-priced with self-hosting.
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