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Merge pull request #13513 from roli-lpci/add-fidelis-memory

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Add Fidelis Memory 🤖🤖🤖
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Frank Fiegel
2026-09-20 20:24:22 -07:00
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@@ -2825,6 +2825,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [harrison/ai-counsel](https://github.com/harrison/ai-counsel) - 🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory. - [harrison/ai-counsel](https://github.com/harrison/ai-counsel) - 🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.
- [HBarefoot/engram](https://github.com/HBarefoot/engram) [![HBarefoot/engram MCP server](https://glama.ai/mcp/servers/HBarefoot/engram/badges/score.svg)](https://glama.ai/mcp/servers/HBarefoot/engram) 📇 🏠 🍎 🪟 🐧 - Local-first persistent memory for AI agents. SQLite + local embeddings (all-MiniLM-L6-v2), hybrid semantic + FTS5 recall, secret detection, and contradiction handling. 6 MCP tools (remember, recall, forget, feedback, context, status) over stdio. Zero cloud, no API keys, fully offline. Works with Claude Desktop/Code, Cursor, and Windsurf. `npm install -g @hbarefoot/engram` - [HBarefoot/engram](https://github.com/HBarefoot/engram) [![HBarefoot/engram MCP server](https://glama.ai/mcp/servers/HBarefoot/engram/badges/score.svg)](https://glama.ai/mcp/servers/HBarefoot/engram) 📇 🏠 🍎 🪟 🐧 - Local-first persistent memory for AI agents. SQLite + local embeddings (all-MiniLM-L6-v2), hybrid semantic + FTS5 recall, secret detection, and contradiction handling. 6 MCP tools (remember, recall, forget, feedback, context, status) over stdio. Zero cloud, no API keys, fully offline. Works with Claude Desktop/Code, Cursor, and Windsurf. `npm install -g @hbarefoot/engram`
- [HatmanStack/ragstack-mcp](https://github.com/HatmanStack/RAGStack-Lambda/tree/main/src/ragstack-mcp) 🐍 ☁️ 🍎 🪟 🐧 - MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB). - [HatmanStack/ragstack-mcp](https://github.com/HatmanStack/RAGStack-Lambda/tree/main/src/ragstack-mcp) 🐍 ☁️ 🍎 🪟 🐧 - MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB).
- [hermes-labs-ai/fidelis](https://github.com/hermes-labs-ai/fidelis) [![hermes-labs-ai/fidelis MCP server](https://glama.ai/mcp/servers/hermes-labs-ai/fidelis/badges/score.svg)](https://glama.ai/mcp/servers/hermes-labs-ai/fidelis) 🐍 🏠 🍎 🐧 - Local-first memory for Codex, Claude Code, and other MCP clients. Four tools provide verbatim recall, query, health, and context-sensitive orientation through zero-LLM retrieval by default. Install `fidelis-memory` from PyPI, run `fidelis init`, then register the MCP server with the client.
- [hifriendbot/cogmemai-mcp](https://github.com/hifriendbot/cogmemai-mcp) 📇 ☁️ 🍎 🪟 🐧 - Persistent cognitive memory for Claude Code. Cloud-first with semantic search, AI-powered extraction, and project scoping. Zero local databases. - [hifriendbot/cogmemai-mcp](https://github.com/hifriendbot/cogmemai-mcp) 📇 ☁️ 🍎 🪟 🐧 - Persistent cognitive memory for Claude Code. Cloud-first with semantic search, AI-powered extraction, and project scoping. Zero local databases.
- [hjqcan/GoodMemory](https://github.com/hjqcan/GoodMemory) [![GoodMemory MCP server](https://glama.ai/mcp/servers/hjqcan/GoodMemory/badges/score.svg)](https://glama.ai/mcp/servers/hjqcan/GoodMemory) 📇 🏠 - Local-first, auditable memory layer for Codex, Claude Code, and MCP clients. Stores scoped user/project memory in SQLite or Postgres, exposes read-only recall, trace, stats, and artifact tools by default, and supports opt-in governed writeback with review, forget, and audit controls. Published as `io.github.hjqcan/goodmemory` in the official MCP Registry. - [hjqcan/GoodMemory](https://github.com/hjqcan/GoodMemory) [![GoodMemory MCP server](https://glama.ai/mcp/servers/hjqcan/GoodMemory/badges/score.svg)](https://glama.ai/mcp/servers/hjqcan/GoodMemory) 📇 🏠 - Local-first, auditable memory layer for Codex, Claude Code, and MCP clients. Stores scoped user/project memory in SQLite or Postgres, exposes read-only recall, trace, stats, and artifact tools by default, and supports opt-in governed writeback with review, forget, and audit controls. Published as `io.github.hjqcan/goodmemory` in the official MCP Registry.
- [hoornet/agentdocs-mcp](https://github.com/hoornet/agentdocs-mcp) [![hoornet/agentdocs-mcp MCP server](https://glama.ai/mcp/servers/hoornet/agentdocs-mcp/badges/score.svg)](https://glama.ai/mcp/servers/hoornet/agentdocs-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Read, search (full-text + pgvector semantic), create, update, comment on, and share AgentDocs (agentdocs.eu) Markdown docs — a collaborative docs platform with AI agents as first-class citizens. Local stdio (`npx -y agentdocs-mcp`) or hosted remote with OAuth 2.1 (`https://agentdocs.eu/mcp`), incl. slug-or-UUID addressing and space-scoped sandbox tokens. - [hoornet/agentdocs-mcp](https://github.com/hoornet/agentdocs-mcp) [![hoornet/agentdocs-mcp MCP server](https://glama.ai/mcp/servers/hoornet/agentdocs-mcp/badges/score.svg)](https://glama.ai/mcp/servers/hoornet/agentdocs-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Read, search (full-text + pgvector semantic), create, update, comment on, and share AgentDocs (agentdocs.eu) Markdown docs — a collaborative docs platform with AI agents as first-class citizens. Local stdio (`npx -y agentdocs-mcp`) or hosted remote with OAuth 2.1 (`https://agentdocs.eu/mcp`), incl. slug-or-UUID addressing and space-scoped sandbox tokens.