Add StremAI to Knowledge & Memory

Shared memory for AI coding agents over MCP.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

README.md

@@ -2276,6 +2276,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [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.
 - [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.
+- [thomasjumper/agentbay](https://github.com/thomasjumper/agentbay) [![StremAI MCP server](https://glama.ai/mcp/servers/thomasjumper/agentbay/badges/score.svg)](https://glama.ai/mcp/servers/thomasjumper/agentbay) 📇 ☁️ 🏠 - StremAI: shared memory for AI coding agents. What one agent learns, every agent recalls, across sessions, machines, and tools. Per-agent attribution, provenance, and export, so you can see which agent learned a fact and whether it has been verified. Remote Streamable HTTP with OAuth, stdio fallback. `claude mcp add --transport http stremai https://stremai.com/api/mcp`
 - [Vasilispapg/claude-handoff](https://github.com/Vasilispapg/claude-handoff) [![Vasilispapg/claude-handoff MCP server](https://glama.ai/mcp/servers/Vasilispapg/claude-handoff/badges/score.svg)](https://glama.ai/mcp/servers/Vasilispapg/claude-handoff) 🐍 🏠 🍎 🪟 🐧 - Post-hoc session handoff and project memory for Claude Code: turns any session transcript — including crashed or usage-limit-hit ones — into one clean handoff.md another model continues from (ChatGPT, Gemini, or the next Claude), and distills a project's ENTIRE session history into one cited memory brief injected at every session start. MCP tools `list_sessions` and `handoff` (LLM summaries only behind an explicit `--allow-llm`); zero dependencies, pure stdlib, secrets redacted from every output. `pipx install claude-handoff`, then `claude-handoff --mcp`.
 - [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`
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