M4A

Fixie

Platform for building and deploying AI agents with long-term memory

freemiumproductiondeveloper-platformagentsapimemory
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Memory Types

episodic, semantic, long-term

Integrations

openai, anthropic, apis, tools


Overview


Fixie is a developer platform for building, deploying, and managing AI agents with built-in long-term memory and tool usage. The platform provides infrastructure for creating agents that can remember past interactions, use tools, and maintain context over extended periods. Fixie emphasizes production-readiness with hosting, scaling, and monitoring built-in.


Founded by former Google executives, Fixie aims to make agent development as simple as deploying a web service. The platform handles the complexity of memory management, tool orchestration, and LLM interactions, allowing developers to focus on agent behavior and business logic.


Key Features


  • **Hosted Agents**: Deploy agents as managed services
  • **Long-Term Memory**: Built-in persistent memory across sessions
  • **Tool Integration**: Easy integration of custom tools and APIs
  • **Multi-Turn Conversations**: Handle complex dialogues
  • **Scalable Infrastructure**: Automatically scales with usage
  • **Monitoring**: Built-in observability and debugging
  • **Corpuses**: Knowledge bases for RAG
  • **Simple Deployment**: Git-based deployment workflow

    • When to Use Fixie


    Fixie is ideal for:

  • Building customer-facing AI agents
  • Applications requiring persistent memory
  • Developers wanting managed agent infrastructure
  • Projects needing tool-using agents
  • Teams avoiding complex agent infrastructure
  • Startups moving quickly from prototype to production

    • Pros


  • Simple deployment and management
  • Built-in memory and tool orchestration
  • Scales automatically
  • Good developer experience
  • Handles infrastructure complexity
  • Monitoring and debugging tools
  • Founded by experienced team
  • Production-ready from day one

    • Cons


  • Newer platform with smaller user base
  • Limited customization compared to building from scratch
  • Vendor lock-in concerns
  • Less flexible than frameworks like LangChain
  • Smaller ecosystem and community
  • Pricing may not scale well for high volume
  • Limited documentation for advanced use cases
  • Still evolving feature set

    • Pricing


  • **Free Tier**: Limited usage for development
  • **Pro**: $29/month plus usage
  • **Enterprise**: Custom pricing for scale
  • **Usage-Based**: Additional costs for API calls

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