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agent-observability

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Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.

  • Updated Aug 30, 2026
  • Rust

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement. 40 built-in policies, a local dashboard, no account required with a generous free cloud plan

  • Updated Sep 1, 2026
  • MDX

See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.

  • Updated Sep 1, 2026
  • Python
sandbase-harness

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

  • Updated Aug 31, 2026
  • TypeScript

An infinite canvas for your AI coding agents. Every repo is a region on one zoomable live map - watch Claude Code, Codex, and Cursor sessions, plans, tool calls, and file changes in real time. Local, zero-dependency.

  • Updated Aug 31, 2026
  • HTML

1flowbase: self-hosted AI gateway with protocol translation, dispatch, chat logs, built-in backend & React blocks to combine AI with business data. All managed by your Agent via MCP.

  • Updated Sep 1, 2026
  • Rust

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