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Step-by-step guide to run GraphOS locally to capture and inspect LangGraph agent traces, find prompt or tool errors, and debug privately before cloud deployment.
Skilldeck is a local-first desktop app that centralizes AI agent skill files, exports them into tool formats (Claude, Cursor, Copilot and more), and detects drift with two-way sync.
Quickstart to run agent_debugger locally: capture and replay agent sessions, index recurring failures into a searchable memory, and surface smart highlights and drift—see the repo for commands.
Run Hive Memory locally to give AI coding agents persistent, cross-project context and session history (JSON/Markdown on disk at ~/.cortex). Use MCP clients like Claude Code or Codex.
Hands-on 60–120 minute guide: clone uberSKILLS, run a local dev instance, author one SKILL.md, run ~10 test prompts across models via OpenRouter, and validate metrics before deploy.
Guide to Sediment — a Rust single-binary, local-first semantic memory for LLM agents. Use four tools (store, recall, list, forget) to add private, persistent context.