https://engrm.dev/blog Thoughts on AI agent memory, coding productivity, and building better developer tools. en https://engrm.dev/blog/langchain-deep-agents-harness-engineering https://engrm.dev/blog/langchain-deep-agents-harness-engineering Deep Agents makes explicit what every production coding agent already knows: the harness is where the real engineering happens. Here's what it reveals about memory, planning, and multi-step reasoning. 2026-03-19T08:04:21.113889+00:00 Engrm Team https://engrm.dev/blog/engrm-openclaw-cross-device-memory https://engrm.dev/blog/engrm-openclaw-cross-device-memory OpenClaw's default memory stays on one machine. Engrm syncs across devices and agents — OpenClaw, Claude Code, Codex, and more. Free tier includes 2 devices. 2026-03-18T20:29:12.461799+00:00 Engrm Team https://engrm.dev/blog/mcp-context-window-bloat https://engrm.dev/blog/mcp-context-window-bloat MCP tool definitions can burn 55,000+ tokens before your agent processes a single message. Here's why progressive disclosure and persistent memory matter more than tool count. 2026-03-18T08:04:34.875061+00:00 Engrm Team https://engrm.dev/blog/leanstral-verified-ai-coding-proofs-mcp-memory https://engrm.dev/blog/leanstral-verified-ai-coding-proofs-mcp-memory Mistral's Leanstral proves code in Lean 4, outpacing Claude Sonnet on efficiency with MCP support. Formal verification meets agentic AI – but persistent memory unlocks the full potential. 2026-03-17T08:04:04.811305+00:00 Engrm Team https://engrm.dev/blog/mcp-production-gap-ai-coding-agents https://engrm.dev/blog/mcp-production-gap-ai-coding-agents MCP has become the standard for AI-to-tool communication, but scaling it for production reveals critical gaps in session management and enterprise security. 2026-03-16T18:02:08.789937+00:00 Engrm Team https://engrm.dev/blog/developer-knowledge-management-ai-memory https://engrm.dev/blog/developer-knowledge-management-ai-memory Developers spend 58% of their time understanding code, not writing it. AI assistants should be institutional memory — but most reset to zero every session. 2026-03-16T17:34:49.943172+00:00 Engrm Team https://engrm.dev/blog/files-vs-databases-ai-agent-memory https://engrm.dev/blog/files-vs-databases-ai-agent-memory Manus, Claude Code, and OpenClaw all converged on markdown files for AI memory. But file-based systems hit a hard scaling wall. The real answer is hybrid search — and it's simpler than you think. 2026-03-16T15:37:14.598991+00:00 Engrm Team https://engrm.dev/blog/hidden-cost-context-switching-ai-coding https://engrm.dev/blog/hidden-cost-context-switching-ai-coding Developers waste hours every week re-explaining their codebase to AI assistants that forgot everything overnight. Research shows context switching costs 23 minutes per interruption — and AI memory loss makes it worse. 2026-03-16T15:20:06.044362+00:00 Engrm Team