Add Glama score badge to afairai/afair entry; merge upstream

README.md

@@ -2206,7 +2206,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [soolaugust/0CompactMem](https://github.com/soolaugust/0CompactMem) [![soolaugust/0CompactMem MCP server](https://glama.ai/mcp/servers/soolaugust/0CompactMem/badges/score.svg)](https://glama.ai/mcp/servers/soolaugust/0CompactMem) 🐍 🏠 🍎 🪟 🐧 - Persistent memory MCP server with OS-style demand paging, kswapd-style eviction, and mlock pinning. Multi-agent shared SQLite store with BM25 + FTS5 retrieval, importance scoring, and capacity-aware reclaim. 5 tools: `memory_lookup`, `pin_memory`, `unpin_memory`, `memory_stats`, `list_pinned`. `uvx --from git+https://github.com/soolaugust/0CompactMem memory-os`
 - [adelinamart/robrain](https://github.com/adelinamart/robrain) [![adelinamart/robrain MCP server](https://glama.ai/mcp/servers/adelinamart/robrain/badges/score.svg)](https://glama.ai/mcp/servers/adelinamart/robrain) 📇 🏠 🍎 🪟 🐧 - Self-hosted decision memory for AI coding agents. Passively captures architectural decisions with the alternatives you rejected (structured `rejected[]`), then warns the agent before it re-proposes a rejected approach. Postgres + pgvector; cross-tool across Claude Code, Cursor, Copilot, and Codex. Install: `npx robrain up && npx robrain install`.
 - [a2cr/a2cr](https://github.com/a2cr/a2cr) [![a2cr/a2cr MCP server](https://glama.ai/mcp/servers/a2cr/a2cr/badges/score.svg)](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 🪟 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.
-- [afairai/afair](https://github.com/afairai/afair) 🐍 🏠 🍎 🪟 🐧 - The open-source, self-organizing memory for all your AI tools. Three frozen verbs (remember/recall/observe); background agents extract entities, resolve conflicts, consolidate and decay, so the vault structures itself instead of only storing. Append-only, content-addressed, encrypted (SQLCipher), single-tenant, self-hostable. `uv run python -m afair`
+- [afairai/afair](https://github.com/afairai/afair) [![afairai/afair MCP server](https://glama.ai/mcp/servers/afairai/afair/badges/score.svg)](https://glama.ai/mcp/servers/afairai/afair) 🐍 🏠 🍎 🪟 🐧 - The open-source, self-organizing memory for all your AI tools. Three frozen verbs (remember/recall/observe); background agents extract entities, resolve conflicts, consolidate and decay, so the vault structures itself instead of only storing. Append-only, content-addressed, encrypted (SQLCipher), single-tenant, self-hostable. `uv run python -m afair`
 - [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [![ahmetakyurt/zipmem-mcp MCP server](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) 📇 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (file→line→concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp`
 - [ihorponom/agentpack](https://github.com/ihorponom/agentpack) [![ihorponom/agentpack MCP server](https://glama.ai/mcp/servers/ihorponom/agentpack/badges/score.svg)](https://glama.ai/mcp/servers/ihorponom/agentpack) 📇 🏠 🍎 🪟 🐧 - Repo-native task continuity for AI coding agents: a reviewed task-state ledger (decisions, dead ends, evidence, checkpoints) in `.agentpack/` that any next session or client resumes from.
 - [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [![aidesignblueprint/integrations MCP server](https://glama.ai/mcp/servers/aidesignblueprint/integrations/badges/score.svg)](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp`