Curated directory of production-ready Model Context Protocol (MCP) servers, custom tools, and database connectors built for Cursor, Claude Desktop, and autonomous AI agents.
OMP (oh-my-pi) terminal AI agent with hash-anchored edits that eliminate whitespace conflicts and file corruption. 32 tools, LSP, DAP debugger, 40+ providers, subagents. Complete guide with benchmarks vs Claude Code, ROI...
Deepak Bagada
EU DMA Android AI agent guide: build voice-activated, background-running, cross-app AI agents using the EC's July 2026 binding order opening 11 Android features to rival assistants. Complete technical and strategic guide...
Deepak Bagada
Alterion Draco runtime control plane for enterprise AI agents: real-time visibility, programmable guardrails, OWASP Top 10 coverage, SOC 2/ISO 42001 compliance — no code changes. Complete guide with architecture, cost co...
Deepak Bagada
SkillCloak bypasses every AI agent skill scanner >90% of the time. Complete guide to the HKUST disclosure, SkillDetonate runtime defense (97% detection), 4-layer protection pipeline, and what every team using Claude Code...
Deepak Bagada
agent-device CLI gives AI agents direct control over iOS and Android devices for automated mobile testing. Complete guide: real device vs simulator, Claude Code integration, CI/CD setup, and honest limitations.
Deepak Bagada
agentgateway is the next-gen agentic proxy for enterprise MCP security — route, auth, rate-limit, and audit all AI agent tool connections. Complete guide: deployment, configuration, comparison with Otari/Portkey, and hon...
Deepak Bagada
screenpipe records your desktop locally and converts it into structured context for AI agents — no cloud, no privacy leaks. Complete guide: setup, agent integration, OCR/Whisper pipeline, and honest limitations.
Deepak Bagada
Career-Ops AI Job Search: Complete 2026 Guide
Deepak Bagada
Agency Agents agent deployment guide — install 200+ specialized AI agent personas across 16 divisions into Claude Code, Cursor, Codex, and 13+ tools. Native desktop app, 15-min setup.
Deepak Bagada
Inkling (Thinking Machines Lab, 975B MoE, Apache 2.0) vs GLM 5.2 (Zhipu AI, top coding/reasoning) vs Nemotron 3 Ultra (NVIDIA, 550B): benchmark comparison across SWEBench, Terminal Bench, MCP Atlas, HLE, AIME 2026, and c...
Deepak Bagada
OpenAI Codex Multi-Agent V2 (PR #26210, June 5, 2026) encrypts inter-agent message payloads with AES-256-GCM for GPT-5.6 Sol and Terra, breaking operator visibility into delegated agent instructions. Developers filed iss...
Deepak Bagada
Inkling is Thinking Machines Lab's 975B MoE open-weights model (Apache 2.0, July 15, 2026) with 41B active parameters, 1M context, native multimodal input, and controllable thinking effort (0.2-0.99). Founded by former O...
Deepak Bagada
