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Add Giskard Oasis — contextual clarity MCP server for AI agents

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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-04-05 21:42:37 -03:00
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@@ -1426,6 +1426,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [Cartisien/engram-mcp](https://github.com/Cartisien/engram-mcp) [![engram-mcp MCP server](https://glama.ai/mcp/servers/Cartisien/engram-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Cartisien/engram-mcp) 📇 🏠 🍎 🪟 🐧 - Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client.
- [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.
- [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required.
- [giskard09/giskard-oasis](https://github.com/giskard09/giskard-oasis) [![giskard09/giskard-oasis MCP server](https://glama.ai/mcp/servers/giskard09/giskard-oasis/badges/score.svg)](https://glama.ai/mcp/servers/giskard09/giskard-oasis) 🐍 🏠 - A still point for AI agents in fog. When an agent loses its thread, Oasis distills its original purpose and returns clarity. Pay-per-use with Lightning or Arbitrum — karma discounts via ARGENTUM reputation. Self-hosted with phoenixd.
- [ErebusEnigma/context-memory](https://github.com/ErebusEnigma/context-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard.
- [For-Sunny/hebbian-mind-enterprise](https://github.com/For-Sunny/hebbian-mind-enterprise) [![hebbian-mind-enterprise MCP server](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise/badges/score.svg)](https://glama.ai/mcp/servers/For-Sunny/hebbian-mind-enterprise) 🐍 🏠 🍎 🪟 🐧 - Self-organizing neural graph memory with Hebbian learning for AI systems. Connections strengthen through co-activation and weaken through temporal decay. 118+ learning nodes, dual-write architecture, and sub-millisecond reads.
- [evc-team-relay-mcp](https://github.com/entire-vc/evc-team-relay-mcp) [![evc-team-relay-mcp MCP server](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp) - Give AI agents read/write access to your Obsidian vault via MCP