Add Kremis MCP server to Knowledge & Memory

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-28 21:41:50 +00:00 · 2026-05-09 16:57:32 +02:00
parent 39b5e990fe
commit 14cf8a35f9
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@@ -1707,6 +1707,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [tstockham96/engram](https://github.com/tstockham96/engram) [![engram MCP server](https://glama.ai/mcp/servers/@tstockham96/engram/badges/score.svg)](https://glama.ai/mcp/servers/@tstockham96/engram) 📇 🏠 🍎 🪟 🐧 - Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context approaches.
 - [TeamSafeAI/LIFE](https://github.com/TeamSafeAI/LIFE) 🐍 🏠 - Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity discovery), creative collision engine, forecasting, and voice. Zero dependencies beyond Python 3.8. Built across 938 conversations.
 - [TT-Wang/cortex-plugin](https://github.com/TT-Wang/cortex-plugin) [![cortex-plugin MCP server](https://glama.ai/mcp/servers/TT-Wang/cortex-plugin/badges/score.svg)](https://glama.ai/mcp/servers/TT-Wang/cortex-plugin) 🐍 🏠 🍎 🐧 - Persistent, self-evolving memory plugin for Claude Code. Background miner extracts durable lessons (decisions, conventions, bug fixes) from completed sessions via Claude Haiku, stores them as human-readable markdown in an Obsidian vault, and assembles query-tailored context briefings at session start. Local-first, no cloud, no API keys. Self-healing install via uv bootstrap shim, `/cortex-doctor` preflight, graceful FTS-only degraded mode when `claude` CLI missing. MIT.
+- [TyKolt/kremis](https://github.com/TyKolt/kremis) 🦀 🏠 🍎 🪟 🐧 - Deterministic knowledge graph MCP server. Single binary, zero LLM/embedding calls in the bridge, BLAKE3 state hashing, canonical KREX export for byte-identical audit. Local-first via redb (ACID). **Alpha**.
 - [unibaseio/membase-mcp](https://github.com/unibaseio/membase-mcp) 📇 ☁️ - Save and query your agent memory in distributed way by Membase
 - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
 - [varun29ankuS/shodh-memory](https://github.com/varun29ankuS/shodh-memory) 🦀 🏠 - Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.