Gnosil/semantix

What it solves

AI coding agents typically lose all context when a session ends. Additionally, standard provider prefix caches often fail because a single character change at the start of a prompt (like a billing marker) can invalidate the entire cache, leading to higher costs and slower response times.

How it works

Semantix provides a memory kernel that extracts reusable "slices" (task patterns, project knowledge, and tool sequences) from completed sessions into a local library. It then reinjects these relevant slices into new sessions. To optimize costs, it uses a gateway to strip prompt-invalidating markers and canonicalize tool arrays, ensuring prompts are byte-stable so that provider-level caches are more likely to hit.

Who it’s for

Developers using AI coding agents (such as Claude Code, DeepSeek-Reasonix, or custom OpenAI-compatible clients) who want to maintain project context across sessions and reduce API expenditures.

Highlights

• Cross-session memory: Learns from past sessions to avoid re-establishing project conventions and test layouts every time.
• Byte-stable injection: Orders retrieved data by ID rather than score to maintain identical prefixes for similar requests.
• Prefix hygiene: Automatically strips per-request attribution markers to prevent cache invalidation.
• Flexible integration: Can be used as a standalone CLI agent (semantix-agent), attached to existing agents via tool registration, or deployed as a gateway for any OpenAI-compatible client.