vedantnimbarte

Kortex Memory — AI skill for Claude Code

AI community

Production-grade, multi-tenant memory layer for LLMs and AI coding agents (Claude Code, Codex, OpenCode).

How to install Kortex Memory

This entry records only its repository, not the path inside it, so there is no exact command to give. Open vedantnimbarte/kortex-memory and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Kortex Memory does

Production-grade, multi-tenant memory layer for LLMs and AI coding agents (Claude Code, Codex, OpenCode). Plug it in via MCP and your agents get a shared, durable, scoped, access-controlled memory that survives across sessions and tools.

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README

kortex-memory

Highlights

MCP server with both stdio and HTTP/SSE transports (16 canonical tools).
REST API with full coverage of memories, conversations, attachments, ingest, export, and tenancy.
Web console (kortex-web) — Vite + React SPA for recall, memory browsing, ingest, API keys, and billing.
CLI (kortex) for admin + day-to-day workflows.
Postgres + pgvector for memories, sessions, and vector search.
S3-compatible attachments (MinIO in dev, S3/R2 in prod).
Agentic retrieval — an LLM plans multi-hop hybrid (vector + BM25 + recency) lookups; clean fallback to plain hybrid when the planner LLM is unavailable.
Short / mid / long-term tiers with auto-promotion, decay, and HDBSCAN consolidation.
Contradiction surfacing — when a memory supersedes or contradicts an older one, recall returns both, flags the stale side, and sorts it last. Surfaced, never auto-resolved.
Sensitivity tiers × RBAC for fine-grained access control.
OpenTelemetry traces, Prometheus metrics, structured JSON logs from day one.
Idempotency-Key + ETag/If-Match on the API for safe client retries.

Documentation

Doc	Read when
This README	You want the fast path: everything running locally in Docker, or a deploy at a glance.
RUNNING_LOCALLY.md	You want the full local walk-through (CLI profiles, agentic recall, troubleshooting).
DEPLOYMENT.md	You're shipping Kortex to a real Kubernetes cluster (full runbook).
RELEASE.md	You're cutting a new tagged release.
CHANGELOG.md	You want to know what changed in this version.
docs/portability.md	Yo