Show HN: Remembrane – agent memory in one SQLite file, zero dependencies

Description and use

**Project Summary**

Remembrane is an open-source project that enables the creation of repeatable agent workflows by storing agent memory in a single SQLite file with zero dependencies. This project helps turn isolated prompts and tools into coordinated workflows, making it ideal for multi-agent orchestration and pipeline standardization. While it has potential, its adoption requires manual inspection and verification of its quality signals.

**Value Proposition**

The value of Remembrane lies in its ability to standardize agent memory and enable the creation of repeatable workflows. This can be particularly useful in AI/ML and orchestration tasks, where multi-agent coordination and tool-use pipelines are essential. By providing a centralized memory store, Remembrane simplifies the process of managing complex workflows and reduces the risk of errors and inconsistencies.

**Practical Adoption Path**

To adopt Remembrane, follow these steps:

1. **Evaluate quality signals**: Verify the project's license, maintenance, documentation, issue tracking, and release cadence to ensure it meets your needs.
2. **Manual inspection**: Carefully review the project's code and documentation to understand its inner workings and potential limitations.
3. **Prototype and test**: Use Remembrane in a prototype environment to test its functionality and identify potential issues.
4. **Integration and deployment**: Once you

Use in a workflow

Show HN: Remembrane – agent memory in one SQLite file, zero dependencies helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.