3 deep-dives covering this topic
Technical deep-dive collection covering industry standards, implementation patterns, and production architectures for #ai-agents.
Production LLM router & agent orchestrator with hard daily cost caps and multi-model failover.
Explore Ollima Platform →A private memory of every page you keep — on-device semantic search
browserfog is a private web memory: save the pages that matter, search them later by meaning rather than keywords, and the server never reads anything. AES-GCM end-to-end encryption, 24-word recovery passphrase, on-device 384-dim semantic search, opt-in capture via activeTab. Free forever, no ads, no telemetry. Open-source extension and API.
Persistent memory for AI coding agents
Memfog quietly captures what Claude Code, Cursor, Codex, Gemini CLI, OpenCode and Cline do in every session — prompts, file edits, terminal output, decisions — then surfaces the right context next time. Drop-in hooks. Sub-second BM25 search. Per-user isolation. Apache-licensed.
Web infrastructure for AI agents — 212 endpoints, one key, MCP-native
Ollagraph is the web-intelligence layer for AI agents: 212 endpoints behind one API key and one MCP server, covering smart crawling, structured extraction, agent observability, AEO audits, DNS and SSL intelligence, and async jobs. Credit-metered, refund-on-fail, built for production.
