Guides & Articles

Drop-in persistent memory for AI agents. Framework guides and integration patterns.

• Short-Term vs Long-Term Memory for AI Agents
  Designer deciding memory architecture — what goes in-context, what goes in KV, what goes in vector DB.
• BotWire Memory vs Pinecone: When to Use Which
  Dev comparing options, confused about when vector DBs are overkill for simple state.
• Agent Observability: Audit Logs + Memory Snapshots
  DevOps-minded dev wanting to understand what their agent did, why, and replay its state.
• AgentOps + BotWire: Observability + Durable State
  AgentOps user who needs persistent state separate from session traces.
• Persistent Memory for Agno (formerly Phidata) Agents
  Agno/Phidata user needing memory that survives across agent runs.
• Cutting AI Agent Costs with Persistent Memory
  Cost-conscious dev whose agent re-asks the same questions every run, burning tokens.
• Evaluating AI Agents Over Time: Memory as Ground Truth
  ML engineer trying to benchmark agent quality across versions using persisted state.
• AI Agent Memory: BotWire vs Redis vs Vector DBs
  Dev evaluating options, currently considering Redis/Pinecone. Needs decision framework.
• Scheduled AI Agent Tasks (Cron) with Persistent State
  Dev running AI agents on cron that need to pick up where they left off last run.
• Managing AI Agent Session State in FastAPI
  Backend dev shipping an AI agent via FastAPI who needs per-user session state.
• Testing AI Agents: Memory Fixtures and Replay
  Engineer who wants deterministic tests for agents that depend on accumulated state.
• How to Store Per-User Preferences for AI Agents
  Product builder who wants their agent to remember each user's preferences across sessions.
• Arize Phoenix + Agent Memory: Tracing Stateful Agents
  Arize Phoenix user tracing agent behavior across sessions.
• Adding Memory to AutoGen Agents
  AutoGen user whose agents lose conversation across restarts. Wants a one-class fix.
• BotWire vs LangMem: When Simplicity Wins
  LangChain user comparing their new LangMem to simpler external KV backends.
• BotWire vs Mem0: Picking the Right AI Memory Tool
  Dev evaluating Mem0 vs simpler KV alternatives. Wants honest trade-offs.
• BotWire vs Zep: Comparing AI Agent Memory Backends
  Dev who tried Zep but finds it overkill for simple use cases.
• Braintrust Evals for Agents with Persistent State
  Braintrust user evaluating agents whose output depends on accumulated memory.
• Browserbase Agents With Persistent Memory
  Browserbase/Stagehand user whose browser-automation agents lose state between runs.
• Giving Claude Agents Persistent Memory Between Sessions
  Anthropic SDK user building agents with Claude whose context vanishes each script run.
• BotWire Memory Cookbook - 20 Recipes
  Copy-paste recipes for persistent memory patterns.
• Persistent Memory for CrewAI Agents (Cross-Session State)
  CrewAI developer whose crew forgets everything between kickoff() calls. Needs memory that survives.
• Building a Discord Bot With AI Memory (Per User, Per Channel)
  Discord bot dev whose AI responses forget user context every restart.
• E2B Code Interpreter Agents + Persistent Memory
  E2B user building code-interpreter agents that reset between sandboxed runs.
• BotWire FAQ: Memory, Pricing, Self-Hosting, Privacy
  Anyone evaluating BotWire who has objections before adopting.
• Persistent Memory for Haystack Agents
  Haystack user running agent pipelines that lose state between runs.
• Helicone + Memory: Tracking LLM Costs per Agent Namespace
  Helicone user wanting to group LLM call costs by persistent agent namespace.
• Humanloop + Persistent Memory for Prompt Iteration
  Humanloop user iterating prompts whose agents need persistent state.
• Stateful AI Workflows with Inngest + BotWire
  Dev using Inngest for durable AI workflows that need long-term agent memory.
• How to Add Persistent Memory to LangChain Agents
  Developer using LangChain whose agent loses all state when the script exits. Wants a drop-in solution.
• Langfuse + BotWire: Observability Meets Persistent Memory
  Langfuse user who wants persistent state alongside LLM traces.
• LangGraph Persistent State Across Runs
  LangGraph user whose stateful graph loses progress between process restarts.
• Persistent Memory for LlamaIndex Agents
  LlamaIndex user whose QueryEngine/Agent loses context across calls. Wants drop-in persistence.
• Adding Persistent Memory to Mastra Agents
  Mastra (TypeScript agent framework) user whose agent loses context between runs.
• Adding Persistent Memory to MCP Servers
  Dev building MCP servers who needs state that survives server restarts.
• Modal.com AI Agents with Persistent Memory
  Modal user building agents on their serverless GPU platform who needs cross-run state.
• Sharing Memory Between Multiple AI Agents
  Builder with multiple agents who need a common memory pool. Think research-team or trading-team patterns.
• Multi-Tenant AI Agent Memory Patterns
  SaaS dev building per-customer agents who needs clean tenant isolation.
• Adding External Memory to the OpenAI Assistants API
  OpenAI Assistants API user who wants memory outside the thread — cross-thread, cross-user, searchable.
• Portkey Gateway + BotWire Memory: Gateway + State
  Dev using Portkey as LLM gateway who also needs cross-invocation memory.
• Adding Persistent Memory to Pydantic AI Agents
  Pydantic AI user who wants state between Agent.run() calls.
• Pydantic Graph Agents + Persistent State
  Pydantic Graph user whose nodes need to share and persist state across executions.
• Simple Key-Value Store for Python AI Agents
  Python dev who rejected Redis/Postgres as overkill and wants the simplest possible state.
• Give Claude Persistent Memory in 2 Minutes
  Claude API user who wants a working persistent chat example in 2 minutes.
• BotWire + CrewAI Quickstart (2 Minutes)
  CrewAI dev who wants literal copy-paste integration.
• BotWire + LangChain Quickstart (2 Minutes)
  LangChain dev who wants a literal copy-paste 2-minute setup.
• BotWire Memory from Node.js (via fetch)
  Node/TypeScript dev who wants to use BotWire before the official JS SDK ships.
• RAG + Memory: When to Use Each (and Both)
  AI engineer confused about when a vector DB beats a KV store and when you need both.
• Giving Replit Agents Persistent Memory
  Replit dev building agents that restart from scratch every time the Repl wakes up.
• Persistent Memory for Semantic Kernel Agents
  Semantic Kernel user who needs memory that survives restarts across C#/Python kernels.
• State for Serverless AI Agents (Lambda, Cloud Run, Vercel)
  Dev running agents on ephemeral serverless compute that resets every invocation.
• Slack Bot With AI Memory (Per User, Per Channel)
  Slack bot dev whose AI answers forget channel context every deploy.
• Streaming LLM Chats With Persistent Memory
  Dev building a streaming chat UI (SSE/WebSocket) who needs memory that survives the stream.
• Telegram AI Bot With Persistent Memory Across Sessions
  Telegram bot dev whose AI agent forgets chat history when the server restarts.
• Long-Running AI Agents with Temporal + Memory
  Backend engineer running Temporal workflows for AI agents that span hours or days.
• Vercel AI SDK: Persistent Memory Across Sessions
  Next.js dev using Vercel AI SDK whose chat state vanishes with every deployment.
• Persistent Memory for Voice AI Agents (ElevenLabs, Vapi, Retell)
  Voice agent builder whose AI phone agent forgets every call.
• WhatsApp AI Assistant With Persistent Memory
  Dev building a WhatsApp AI via Twilio/Meta whose chat history vanishes on restart.
• Why AI Agents Forget Everything (And How to Fix It)
  Dev searching for explanation + solution. Educational but actionable.