An OTLP observability plugin for OpenClaw AI agents in Grafana
Grafana integration for OpenClaw agents, but audience is tiny—requires both tools.
🦾 Ultra-compact agent framework for Kafka in Go. Operate a distributed swarm.
Kafka-native agent coordination with structured envelopes—but agentic Kafka routing is nascent and audience is infrastructure-only.
Enterprise platform engineers, multi-agent system architects, Kafka-savvy DevOps teams
Axon · Atom · Ray
Grafana integration for OpenClaw agents, but audience is tiny—requires both tools.
Turns every agent client into a unified work log via a tiny MCP server and a single log_work call. Schema profiles and multiple sinks (jsonl, webhook, Postgres) let teams standardize payloads once and collect logs from Codex, ChatGPT, Claude, OpenClaw or cron jobs. Practical and low-friction — useful as an ops-level glue — but the dashboard is an in-repo MVP and delivery semantics (retries/schema evolution) will determine if it scales beyond a small team.
Landing page errors on load—cannot evaluate product beyond the concept.
Good problem description but no code or templates like LangSmith provides.
Agent-first observability with SQL output instead of human dashboards.
Agent-based matching bypasses profile fakery, but the OpenClaw ecosystem doesn't exist yet.