The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.

Chipp: a deployed project's database (read), logs, errors, analytics, CI status, custom actions.

Vagas remotas de dev pra quem mora no Brasil trabalhar pra empresa de fora, com curadoria.

GEO brand visibility and AI citation evidence. Free capability discovery and request matching.

Trigger.dev – build and deploy durable AI agents and workflows

A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

Open-source status page, incident response and uptime monitoring

Self-hosted AI Agents Platform for AI Native companies. Claude Code, Codex, Gemini, OpenCode agents. Apache 2.0.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.

Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis

Kibana MCP Server

Kuvasz (pronounce as [ˈkuvɒs]) is an open-source uptime and SSL monitoring service, with multiple notification channels, status pages, IAC support via YAML, Prometheus integration, a complete REST API and many more!

Audit trail and traceability for AI agents. See what every coding agent did, block risky calls, ask a human for approval, and prove it with signed trust checks.

Analytics tool for MCP (Model Context Protocol) servers and AI agents - tracks tool usage patterns and provides insights

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

An open‑source technical wiki connected to the systems it describes

Datadog MCP server for monitoring, metrics, logs, and dashboards

Enables AI assistants to perform read-only checks of sky positions against public astronomy archives, returning compact JSON verdicts and evidence for known transients, variables, TESS objects, asteroids, and other objects, plus observation planning and image links.

Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.