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Qarinah

Durable project memory for coding agents

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Qarinah is an open-source project-memory layer for coding agents. It records evidence-linked project events, builds compact verifiable read models, and retrieves cited context so agents can resume work without replaying an entire history. It ships as an npm package, CLI, MCP server, public schemas, local dashboard, and adapters for major coding-agent workflows.

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Features

Evidence-linked append-only project ledger

Compact, cited context retrieval

CLI and native MCP transport

Local dashboard and linked project graph

Cross-agent import and export adapters

Reproducible public evaluations

Use Cases

Resume a coding project with durable decisions and evidence

Share project context across coding-agent tools

Audit why an agent made a change

Build compact handoff packs for new sessions

Keep local project memory under operator control

Comments

I spent two years building a free tool that ranked well and earned almost nothing. The traffic was real. The audience just had no reason to buy anything. That was the lesson, and YearJersey is the same skill pointed at people who are actually shopping.

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Generate clear, personalized emails in s...

This is a very valuable ecosystem.

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Founder of OnSkillDemand, building human...

The evidence-linked append-only ledger and cited read models address a real weakness in long-running agent work: context can survive without blindly replaying every conversation. The difficult part is stale truth when a decision is later reversed. How does Qarinah mark evidence as superseded or resolve conflicting decisions while preserving the audit trail?

I built Qarinah after watching coding agents repeatedly lose decisions, replay huge project histories, and hand work between tools without durable evidence. Qarinah keeps a local, verifiable project memory so a fresh agent can recover cited context instead of starting from zero. I would love feedback from maintainers using multiple coding agents.

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Comments

I spent two years building a free tool that ranked well and earned almost nothing. The traffic was real. The audience just had no reason to buy anything. That was the lesson, and YearJersey is the same skill pointed at people who are actually shopping.

custom-img
Generate clear, personalized emails in s...

This is a very valuable ecosystem.

custom-img
Founder of OnSkillDemand, building human...

The evidence-linked append-only ledger and cited read models address a real weakness in long-running agent work: context can survive without blindly replaying every conversation. The difficult part is stale truth when a decision is later reversed. How does Qarinah mark evidence as superseded or resolve conflicting decisions while preserving the audit trail?

I built Qarinah after watching coding agents repeatedly lose decisions, replay huge project histories, and hand work between tools without durable evidence. Qarinah keeps a local, verifiable project memory so a fresh agent can recover cited context instead of starting from zero. I would love feedback from maintainers using multiple coding agents.

Premium Products