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Add memocall to Knowledge & Memory

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@@ -1888,6 +1888,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [AntonioTF5/soul-mcp-server](https://github.com/AntonioTF5/soul-mcp-server) [![soul-mcp-server MCP server](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server) 📇 🏠 🍎 🪟 🐧 - Validate and generate SOUL.md agent identity files from Claude Desktop. SOUL.md is the open format for persistent AI agent identity — personality, voice, values, and behavioral constraints in a machine-readable YAML file. - [AntonioTF5/soul-mcp-server](https://github.com/AntonioTF5/soul-mcp-server) [![soul-mcp-server MCP server](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server) 📇 🏠 🍎 🪟 🐧 - Validate and generate SOUL.md agent identity files from Claude Desktop. SOUL.md is the open format for persistent AI agent identity — personality, voice, values, and behavioral constraints in a machine-readable YAML file.
- [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
- [ayushagrawal288/memex](https://github.com/ayushagrawal288/memex) [![ayushagrawal288/memex MCP server](https://glama.ai/mcp/servers/ayushagrawal288/memex/badges/score.svg)](https://glama.ai/mcp/servers/ayushagrawal288/memex) 🐍 🏠 - Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. `docker compose up` — no cloud dependencies. - [ayushagrawal288/memex](https://github.com/ayushagrawal288/memex) [![ayushagrawal288/memex MCP server](https://glama.ai/mcp/servers/ayushagrawal288/memex/badges/score.svg)](https://glama.ai/mcp/servers/ayushagrawal288/memex) 🐍 🏠 - Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. `docker compose up` — no cloud dependencies.
- [baodq06/memocall](https://github.com/baodq06/memocall) 📇 🏠 🍎 🪟 🐧 - Recall past Claude Code conversations from any project. Lists and searches your sessions, then loads one on demand as clean, compact Markdown — with outline, turn-range, and in-session search for large sessions. Read-only over local `~/.claude` transcripts; collapses tool calls to stay under the context cap.
- [basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) [![basic-memory MCP server](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory/badges/score.svg)](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces. - [basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) [![basic-memory MCP server](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory/badges/score.svg)](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.
- [Battam1111/Myco](https://github.com/Battam1111/Myco) [![Battam1111/Myco MCP server](https://glama.ai/mcp/servers/Battam1111/Myco/badges/score.svg)](https://glama.ai/mcp/servers/Battam1111/Myco) 🐍 🏠 🍎 🪟 🐧 - Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived, not embedding-based. Provider-agnostic by design: MP1/MP2 dims forbid LLM-SDK imports in the kernel and plugin tree. Editable-default install. Works with Claude Code, Cursor, Windsurf, Zed, VS Code, and any MCP client. - [Battam1111/Myco](https://github.com/Battam1111/Myco) [![Battam1111/Myco MCP server](https://glama.ai/mcp/servers/Battam1111/Myco/badges/score.svg)](https://glama.ai/mcp/servers/Battam1111/Myco) 🐍 🏠 🍎 🪟 🐧 - Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived, not embedding-based. Provider-agnostic by design: MP1/MP2 dims forbid LLM-SDK imports in the kernel and plugin tree. Editable-default install. Works with Claude Code, Cursor, Windsurf, Zed, VS Code, and any MCP client.
- [Beever-AI/beever-atlas](https://github.com/Beever-AI/beever-atlas) [![Beever-AI/beever-atlas MCP server](https://glama.ai/mcp/servers/Beever-AI/beever-atlas/badges/score.svg)](https://glama.ai/mcp/servers/Beever-AI/beever-atlas) 🐍 🏠 🍎 🪟 🐧 - Open-source LLM knowledge base for teams. 28-tool native MCP server turns Slack/Discord/Teams/Mattermost chat into a typed knowledge graph + auto-generated wiki with cited answers, semantic search, expert finding, and decision tracing. BYO LLM via LiteLLM, Apache 2.0, on-prem via Docker. - [Beever-AI/beever-atlas](https://github.com/Beever-AI/beever-atlas) [![Beever-AI/beever-atlas MCP server](https://glama.ai/mcp/servers/Beever-AI/beever-atlas/badges/score.svg)](https://glama.ai/mcp/servers/Beever-AI/beever-atlas) 🐍 🏠 🍎 🪟 🐧 - Open-source LLM knowledge base for teams. 28-tool native MCP server turns Slack/Discord/Teams/Mattermost chat into a typed knowledge graph + auto-generated wiki with cited answers, semantic search, expert finding, and decision tracing. BYO LLM via LiteLLM, Apache 2.0, on-prem via Docker.