Agentmemory
Give your coding agents persistent memory across every session.
Quick verdict
Agentmemory is a developer tool that provides persistent, structured memory for AI coding agents such as Claude Code, OpenAI Codex, and other LLM-powered coding assistants. It is designed for software developers and engineering teams who rely on AI agents to help write, review, and maintain code, but find that those agents forget context between sessions. By storing and retrieving relevant project knowledge, coding preferences, architectural decisions, and past interactions, Agentmemory allows AI agents to pick up exactly where they left off. This means developers spend less time re-explaining their codebase and more time building. The tool integrates directly into existing agent workflows, making it a lightweight but powerful addition to any AI-assisted development setup. Whether you are working on a solo side project or coordinating a team of agents across a large monorepo, Agentmemory helps your AI collaborators stay informed, consistent, and contextually aware over the long term.
Key features
- Persistent memory storage across AI coding agent sessions
- Seamless integration with Claude Code, Codex, and other LLM coding agents
- Structured retrieval of project context, preferences, and past decisions
- Lightweight SDK or API-based setup for quick developer onboarding
Pros & cons
- +Significantly reduces repetitive context-setting when using AI coding assistants
- +Works with popular coding agents like Claude Code and Codex out of the box
- +Lightweight integration that fits into existing development workflows without major changes
- −Relatively new tool with a smaller community and fewer third-party integrations compared to established developer tools
- −Pricing and feature set may evolve quickly, requiring developers to adapt their integrations
Pricing
Free tier available with basic memory storage for individual developers
Paid plans starting from approximately $9/month
Enterprise pricing available on request for teams and large-scale deployments
Who is it for
- →Maintaining project context across long-running development sessions with AI agents
- →Helping AI coding assistants remember architectural decisions and coding conventions
- →Enabling multiple AI agents to share a common memory store for team projects
Frequently asked questions
Is Agentmemory free?
Agentmemory offers a free tier suitable for individual developers who want to try persistent memory for their AI coding agents. More advanced features and higher usage limits are available on paid plans.
What is Agentmemory best used for?
Agentmemory is best used for giving AI coding agents like Claude Code and Codex persistent context across sessions, so they remember project details, coding preferences, and past decisions without needing to be re-briefed every time.
What are the best alternatives to Agentmemory?
Alternatives include Mem0, Zep, and custom vector database solutions such as Pinecone or Weaviate paired with a retrieval layer. Some developers also use project-level CLAUDE.md or system prompt files as a simpler manual alternative.
Is Agentmemory safe to use?
Agentmemory is designed with developer workflows in mind, but as with any tool that stores code context and project information, you should review its privacy policy and data handling practices before storing sensitive proprietary code or credentials.
How much does Agentmemory cost?
Agentmemory has a free tier for getting started. Paid plans are estimated to start around $9 per month for individual developers, with enterprise pricing available for teams that need higher capacity or custom integrations.
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