$ cat /dev/quarkmemory

EVERY DECISION REMEMBERED

Every requirement in your PRDs is a quark. Every function in your codebase is a quark. Every customer ticket, tech doc, design, user story is a quark — tiny, powerful, but constantly changing state: lacking in memory of how they develop.

QuarkMemory builds a persistent, evolving memory of every decision that shaped each quark. We create rationales that are valid over time, understand contradictions in rules and logic, and trace distant, silent code failures. We bridge the gap in AI's ability to truly remember.

We don't just spit facts. We build logic. We are your software's brain.

q(m)
01
Context for get_multipart_boundary_from_content_type in httpx/_multipart.py:

AST — function get_multipart_boundary_from_content_type (19 lines, L56–74)
Dependencies (what this calls):
• [HIGH] _unquote_and_unescape_quoted_string in httpx/_multipart.py via calls conf=0.90

[Topic: import mime]
★ (behavioral) The import from 'mime-types' is unused and has been removed.
[commit #2278] since 2022-06-23 conf=1.00

[Topic: feature affects]
★ (rationale) The new feature only affects handling of multipart HTTP requests.
[commit #2278] since 2022-06-23 conf=1.00
Are you a software team? Here's why you NEED decision-aware memory.

BEYOND RAG

No more aimless vibecoding. It's time to build smart.
RAG.query()
Searches, doesn't remember
Retrieves at query time. Zero memory of historical decisions. 97% of your DB is noisy and practically empty.
One-way relationships
Finds related docs. Can't understand the impact of you changing code or adding new logic.
Context without causality
Similarity search helps find the 'what'. No tracking rationale or behavior - No way of reaching the engineer's brain.
Stateless by design
Every query from zero. Code evolves while understanding of code remains static.
QuarkMemory.build_chunk()
Persistent decision memory
Full history, whether enterprise or system-level memory, attached to every piece of code. Not retrieved — developed. No more struggling to get your agent to implement project requirements.
Bidirectional impact understanding
Change function → see affected requirements/logic and vice versa. This is more than just a one-way 'lookup'. No more downstream depedencies breaking while you refactor functions.
Decision lineage tracking
Who decided what, when, why. Full causal chain preserved. This not just searchability, it's traceability, all the time, anytime. No more guessing why a bug showed up because your agent can't explain it.
Stateful evolution engine
Memory evolves with code. Every change updates your agent's knowledge.
RAG searches.
QuarkMemory remembers.

Every quark in your codebase carries its complete decision lineage. When something changes, you don't search for context. You already have it.

That's not retrieval. That's memory.
120ms
Context retrieval time
Already attached
2-way
Impact mapping
Code ↔ Requirements
Decision depth
Full lineage preserved

Join Our Early Access Pilot

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