agentplay

Agent Standup is a local developer tool that turns Claude Code, OpenAI Codex, and Mistral Vibe session files into a live, animated team-call visualization. It shows which agents are working, waiting, stalled, or need attention, along with sub-agent hierarchy, prompts, tool calls, command output, files, diffs, token counts, voices, and screen sharing. It can also replay past sessions, generate recaps, and export calls as video clips. The project reads the session files these coding agents already write, merges leads and sub-agents into a timeline, and incrementally parses new lines for live updates. It runs as a VS Code extension, a Node.js terminal command, a macOS desktop app, or a standalone local server; it requires Node 18+ for the command-line and standalone modes. The server listens on localhost and sends nothing by default, while translation, jokes, music, usage counting, and optional natural voices are separate features. Agent Standup is an unofficial community project, distributed under the MIT license.

OrcaReplay is an open-source replay and debugging tool for AI-agent executions, built by the OrcaRouter.ai team. It records an agent run as a local trace, including model requests and responses, tool calls and results, shell exit codes and timing, filesystem snapshots, MCP traffic, and selected network activity. It runs as a local proxy and capture layer around an unmodified agent. A proxy records model traffic, while PATH shims, JSON-RPC interception, filesystem snapshots, fetch hooks, and optional TLS interception capture effects that model transcripts cannot show. The resulting timeline can be viewed, exported, queried through JSON or MCP, and analyzed with recorded versus inferred causal edges. The same recorded stream supports offline replay with the network blocked, forking from a derived checkpoint onto another model, and comparison of several models with an optional verification command. Replay uses the recorded conversation and workspace state; interactive terminal sessions can be approximate because prompts and interactive-only tools may not exist on the wire. The CLI is installed with npm, requires Node 20 or newer, stores runs under `.orca/runs/`, and the code, CLI, viewer, adapters, and trace format implementation are released under Apache-2.0; the trace specification is CC BY 4.0. Traces are local and redacted on write, but the project describes them as sensitive and treats redaction as best-effort.

AgentOps is an open-source observability and developer-tools platform for building, evaluating, and monitoring AI agents. Its Python SDK records agent sessions and LLM calls for dashboard-based session replays, step-by-step execution graphs, debugging, analytics, cost tracking, and benchmarking. Developers instrument code with decorators for sessions, agents, operations, tasks, and workflows; these support nested span hierarchies, input and output recording, exception handling, asynchronous functions, generators, and custom attributes. The SDK provides integrations with agent frameworks and LLM systems including CrewAI, AG2/AutoGen, Agno, LangGraph, and the OpenAI Agents SDK, and the platform can be self-hosted with its dashboard and API backend. The app is released under the MIT license.

Agent Console is an open-source, local-first observability tool by LockedIn Labs for AI coding agents. It reads Claude Code and Codex transcripts to show token usage by cache reads, cache writes, output and uncached input, model and session activity, list-price cost estimates, burn rate and dollars per hour. A self-hosted hub can combine privacy-limited usage metadata from multiple machines over TLS, while keeping prompts, replies, file paths and file contents local. It also provides optional Claude Code OpenTelemetry and Kong or LiteLLM metric ingestion, a Prometheus endpoint, Grafana dashboard, presenting mode, alerts, and policy hooks. It runs locally from source or release downloads on macOS, Linux and Windows, requires Node.js 22 or newer for the source route, and is licensed under the MIT License.

Multi-Agent Workbench is a local-first browser control room for orchestrating coding agents such as Claude Code, Codex CLI, and generic PTY-based command-line agents. Agents work in task rooms under editable YAML role cards that define permissions, speaking style, and decision boundaries; a rule-driven orchestrator pauses execution and risky commands for human approval, while persistent sessions expose terminal activity and status. The system uses a local event-driven architecture with a React interface, Fastify backend, REST API, server-sent events, agent adapters, an approval service, and a SQLite event store. Every action passes through the API and is recorded in an append-only event log, whose events are projected into timelines, decisions, terminal views, artifacts, and diff views. It also provides task templates, Markdown reports and decision logs, real-time room updates, and configurable risk resolutions. Code-writing agents are intended to use isolated Git worktrees, with diff and patch review before changes reach the main workspace; the repository marks this worktree and merge flow as in progress.