#llm-observability

Budget enforcement + observability plugin for Hermes Agent. Stops runaway costs before they happen.

Local desktop dashboard for Claude Code. Reads your JSONL transcripts and surfaces per-prompt cost, tool heatmaps, subagent attribution, cache analytics, and a rule-based tips engine. Rust + Tauri, fully offline, MIT.

git diff for your agent's context window. See exactly what your LLM saw — turn by turn, block by block.

Local replay debugger for Browser Use failures with screenshots, model I/O, failed-step timelines, and public-safe HTML exports.

Local-first debugger for tool-using AI agents — freeze a failed run, patch one step, replay, diff, and prove the fix. Metadata-only capture, never your prompts.

Marketing landing page for loopgain.ai — an open-source cost controller for AI agent loops.

Local-first AgentOps flight recorder and capability firewall for MCP-based coding agents with OpenTelemetry traces.

Real-time detection and repair of LLM agent failures — a one-class behavioural monitor at ~200 µs/step, with 2,823 committed traces.

OpenTelemetry observability and privacy-aware failure replay for production AI agents.

Node.js SDK for AgentMinds — cross-site collective intelligence for production AI agents. Auto-capture errors + push/pull patterns from the network pool.

Python SDK for AgentMinds — cross-site collective intelligence for production AI agents. Auto-capture errors + push/pull patterns from the network pool.

MCP server for AgentMinds — cross-site collective intelligence for production AI agents. Drop in to Claude Code, Cursor, Zed: push agent reports, pull personalised recommendations from the network.