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A little curiosity. A world of open source.
THE FIRST COLLECTIONVocion is a source-available platform for operating production AI agent workflows. Workspaces are authored as YAML and markdown in git, then applied to a Next.js app with Postgres, an MCP server, approval gates and a unified human review queue.
MCP server for VictoriaMetrics Anomaly Detection (vmanomaly), enabling AI assistants to perform health checks, model management, configuration generation, alert rule creation, and documentation search via the Model Context Protocol.
Agentic OS is a self-hosted control plane for running business operations as a fleet of AI agents. It features a cost-aware LLM router, cross-module workflows, and human-in-the-loop approvals for finance, support, and compliance.
Swarm is a local-first control plane for AI-agent development that monitors every Claude Code, Codex, Gemini, Grok, Aider, and opencode session on your machine — tracking live tool calls, token spend, cost, tasks, worktrees, and resources — with rules enforcement, a coordination ledger, and a unified dashboard.
Iris is a local-first MCP server that scores AI agent runs for quality, safety, and cost using 20 built-in deterministic rules, an optional LLM judge, and a web dashboard — all on your machine with no account or telemetry.
A DeepSeek Harness plugin that exports OpenTelemetry traces, metrics, and logs to GreptimeDB, with seven Grafana dashboards for tracking token usage, costs, and performance of AI agent runs.
Peaky Peek is a local-first, open-source audit and trust console for AI agents. It captures causal chains, verifies claims deterministically, and produces explainable trust scores with failure narratives — all running on your machine.
AgentLeak is an open-source privacy testing tool for AI agents. It detects data leaks across tool calls, memory, and logs using a local Python SDK, CLI, and MCP tools, providing redacted reports and CI gates without cloud dependencies.
The @knownagents/sdk is a Node.js library that lets server‑side applications track AI agent traffic, record LLM referrals, generate up‑to‑date robots.txt files, and identify bots via the Agent Identification API. It supports batch event flushing, MCP call tracking, and integration with ACP/UCP commerce flows.
RouteTok is a local-first LLM inference router with OpenAI and Anthropic compatible APIs, health-aware failover, multi-provider catalogs, an operations dashboard, and a model sandbox.
Provider-neutral FastAPI gateway for LLM routing, retries, fallbacks, structured output, and usage/cost accounting. Supports Gemini and OpenAI with model aliases, retry policies, and persistent usage tracking.
NovaFabric is an open-source, self-hosted CLI that captures any AI or HPC run — script, agent, or model call — as a portable, secret-redacted, replayable evidence capsule you own, with no application code changes.
Vole is a local-first macOS menu-bar monitor that reads the logs AI coding agents already write to disk, unifies them into one schema, tracks tokens and equivalent API cost, and flags anomalies such as burn spikes, call loops and error storms.
Longhouse is an Apache-2.0 open-source remote control and searchable timeline for coding agents like Claude Code, Codex, Cursor, and OpenCode. It lets you watch live sessions, search history, and send or steer instructions from the web, with an optional self-hosted runtime host.
Free, local-first tool that tracks AI coding token usage and cost across 41 tools and agents (Claude Code, Cursor, Codex, Gemini, etc.), broken down by model, project, and task.
Production-grade LLM reverse proxy for the Z.AI Claude API with token counting, adaptive rate limiting, Prometheus metrics, and a real-time monitoring dashboard.
cctrace is a TLS-intercepting tracer for Claude Code, Codex, Grok, and Kimi CLIs that captures every API call in a live web UI with session replay, cost tracking, and cross-project dashboards.
Apache Doris is an open-source, real-time analytics and search database based on MPP architecture, providing fast SQL analytics and hybrid search capabilities.
A local-first AI agent debugger that reveals why an agent behaves a certain way. It combines visual replay, behavior diff comparisons between good and bad runs, and full visibility into prompts, context, memory, retrieval, and tool calls. Designed for AI agent development with LangChain support, running entirely locally with SQLite storage.
An LLM Gateway built with LiteLLM for unified access to multiple AI providers via OpenAI-compatible API, featuring routing, fallbacks, caching, cost tracking, and guardrails.
