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agentacct, coding agent oturumlarını yerel verilerden toplayıp yapılan işleri, kullanılan araçları, kontrolleri, token tüketimini ve tahmini maliyeti dashboard ile TUI üzerinden gösterir.

Neden yükseliyor · 65 günde 755 yıldıza ve son 28 günde 198 commite ulaşması hızlı ilgi ve aktif geliştirme sinyali veriyor; ancak aynı dönemde yalnızca 2 farklı yazar bulunması katkı tabanının dar olduğunu gösteriyor. Bu ilginin kesin nedenini ölçümlerden çıkarmak mümkün değil.

MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, C

Find out where your coding agent starts degrading. Personal context-rot analytics from your own sessions - 100% local, zero-config: uvx cont

Agents you can inspect, replay and trust. An agent framework for TypeScript and Python, built on an append-only event log.

Which 5-hour window took you out — and where the money goes. Local profiler for Claude Code, OpenClaw & Hermes Agent: usage windows, burn by

An AI troubleshooting workbench for internal systems: it integrates ticketing and alerting systems via HTTP APIs and webhooks, connects code

User-impact-weighted SLO dashboard — measure true 99.99% uptime by actual customer exposure, not raw availability

Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.

Token Efficiency For AI Agents

Tools for AI agents to test, fix and optimise your codebase

A Complete faster runtime for coding agents. Optimize the journey, not the hop. Make coding agents 25% faster and 30% cheaper on average whi

Auditable AI operations agent for inventory exceptions, equipment alerts, and human-approved workflows.

Semantic cache strategy bench: replay recorded request traces through candidate caching policies and measure which one actually pays off.

CONTINUUM: Verifiable semantic recovery for long-running AI agents. Semantic checkpoints (not conversation dumps), an idempotent action ledg

Lightweight, dependency-free logging and analytics for LLM API calls — track tokens, cost, and latency to a plain JSONL file.

Mindlas catches your coding agent drifting before the bad code lands. Real-time tracking and correction for context rot, unverified done cla

The command center for n8n automation operators: multi-instance management, real-time error tracking, AI-assisted debugging, a Code Lab, and

Audit any agent decision across its past, present, and future, on one typed graph.

Compact AI agent runtime control plane with governed tools, HITL approval, resumable execution, trace-driven evaluation, and SWE-bench-shape

AgentWatch — Real-time reasoning auditor and observability platform for AI agents. Catches silent failures in your agent's reasoning chain b

Lightweight observability for multi-agent AI pipelines. Self-hosted, no cloud dependency — add two lines of Python and see real-time agent e

Record-and-replay for agent decision graphs: reproduce a prod agent failure as a committed regression test, and re-run your fix without live

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex

Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as str

The open-source, local-first alternative to LangSmith. No cloud. No setup.

Observra is an open-source observability and telemetry framework designed for AI and agentic systems, providing deep visibility into agent b

A police department for your Claude Code agents — a logging-only hook + CLI that audits the main agent and every subagent and reports rule o

Evidence-grounded evaluation for AI agents — verifies each claim against the agent's real tool outputs (constrained, evidence-grounded model

Local-first observability and evaluation for production forecasts - capture, validate, and compare forecasts with a local UI.

Make stochastic AI systems durable with one decorator

Skill pack that turns any coding agent (Claude Code, Codex, AGENTS.md-compatible) into a senior production engineer — FastAPI, PostgreSQL, D

Deterministic cost / loop / time budgets · full observability · crash-resumable runs · human-approval gates · a memory you own. Self-hosted.

See where your Claude Code tokens go — cost per call scales 4.3x with context size. Hooks + SQLite + dashboard + MCP server for context wind

AI-powered log diagnostics engine that analyzes server logs, stack traces, and infrastructure failures to identify root causes and recommend

Open-source incident triage: Datadog errors to Claude RCA, GitHub issues, and reviewable fix PRs

Este projeto permite inspecionar e listar informações do ambiente Docker de forma simples através de endpoints HTTP, incluindo containers em

Put an AI agent on rails: mount a Burr state machine as an MCP server so the agent can only take the next allowed step, with every step reco