Lossless storage and search for AI agent sessions, across every agentic client.
Visualize and replay AI coding assistant sessions (Codex CLI & Claude Code).
Visualizes LLM agent session logs as step-by-step timelines — user ask, tool call, outcome
Disk-usage audit for DeepSeek Harness (dsh) data directories: total size, per-directory breakdown, largest files, oversized-file warnings (session logs can hit hundreds of MB), cleanup suggestions. Zero runtime deps, read-only. CLI + agent-callable disk_audit tool.
StationTrail exports local station and agent-session logs to portable miseledger.adapter.v1 JSONL. Local-only, no network calls.
A Claude Code skill for documenting work sessions, capturing learnings, and improving collaboration
Claude Code / Codex / OpenClaw session logs → clean, dated Markdown. Zero-dependency single-file Python (3.9+).
Your AI coding agents spend most of their life waiting for you. Pitwall measures how much, why, and what to change, from local session logs. One amber terminal screen.
Analyze AI agent logs, extract reusable workflow patterns, and generate ready MCP/FastMCP servers.
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