Havuz

Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs tha

Waku, yerel SQLite memory, agent loop ve eval araçlarını bir araya getiren, Python tabanlı kişisel AI assistant uygulamasıdır.

Neden yükseliyor · 79 günlük bir repo için 1.849 yıldızın yanında son 28 günde 30 commit ve 7 farklı yazar bulunması görünür ilgi ve devam eden geliştirme gösteriyor. README'nin sade, okunabilir agent loop ve entegre memory/eval yaklaşımı da projeyi agent harness arayan geliştiricilere çekici kılıyor; bu metrikler benimsenme veya üretim başarısını tek başına kanıtlamıyor.

Open-source LLM gateway in Rust. One endpoint for OpenAI, Anthropic, Gemini and every other vendor. Any SDK, any model, any tool.

Future AGI, LLM ve AI agent uygulamalarını değerlendirme, izleme, simüle etme ve koruma işlerini self-host edilebilen tek bir platformda birleştiriyor.

Neden yükseliyor · Konu, agent uygulamalarında evaluation ve observability ihtiyacının artmasıyla örtüşüyor; 157 günlük repo yaşına karşılık 2.081 yıldız ve son 28 günde 597 commit geliştirme temposuna işaret ediyor. Farklı yazar sayısı 6; bu veriler ilginin nedenini tek başına kanıtlamaz ve yıldızlar benimseme ya da kalite ölçüsü değildir.

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.

Your agent’s trace says “success” but the answer is wrong. Tracedown finds the step that caused it and replays the run with a fix.

Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.

One control plane for every AI asset — MCP servers, skills, agents, AI apps. Self-hosted ledger with lifecycle state machine, 85 permission

Run coding agents without babysitting them. Keep jobs focused, bounded, checked and accountable from start to finish. Finally run your agent

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history,

Free, local, open-source LLM cost analyzer - see where your LLM bill leaks, on your machine.

The open-source agentic framework to build, orchestrate, and operate production AI agents.

Mirror of https://git.getbusbar.dev/GetBusbar/busbar. Read-only; contribute on Forgejo. The execution control plane for AI agents. Govern ev

Cheaper and better Greptile alternative runs on your own github actions.

端到端智能体平台：把本机的 AI Agent 变成人人可用的 Web 产品（Vue 3 + Flask + Go WS 网关 + Docker 部署）

Self-hosted, Docker-first OpenAI-compatible LLM gateway with provider routing, fallbacks, API keys, and usage controls.

A decision library for running local LLMs on multi-GPU machines without NVLink: parallelism, communication, quantization, speculative decodi

ZKE（Z Kubernetes Engine）：AI 原生的 Kubernetes 云操作环境，桌面式多集群控制台加受控 AIOps Agent，基于 Server + Agent 与 QUIC/mTLS，适用于私有云、混合云及边缘环境

Open-source AI gateway for LLMs & AI agents, built in Rust. One OpenAI-compatible API for OpenAI, Anthropic, Gemini, Bedrock & more — routin

Deterministic-first execution engine for agent workflows in Go: the LLM extracts at the edge, a deterministic state machine decides. Zero de

Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity re

Audit trail database for AI agents. Tamper-evident, checksum-backed decision logs with session replay and time-travel debugging to support E

Selfhost modern LLM stacks. Run the whole fleet from your terminal

Myrtia — agent-native red teaming for LLMs and AI agents: a deliberating council of attacker models (propose, cross-critique, Borda vote, ch

NeMo Helix: Make the agents you ship faster, more accurate, and safer.

Production LLM call layer for AI agents and tools: keep OpenAI/Anthropic/AI SDK/LiteLLM, hot-swap models with MDA presets, and add cache, re

Commented SHIP? Full briefs for 3 pile-two AI engineering projects: LLM Ops, Agent Evals, Auto Routing. What to build, what to measure, what

Open-source infrastructure for the full inference lifecycle: deploy, observe, scale, optimize, and safely release self-hosted models behind

Run-aware token governance for multi-agent systems.

Behavioral regression testing for AI apps and agents: pytest plugin, behavior diff, CI gate, and document extraction metrics

Local outcome-loop + reward layer for coding agents — remember what worked, ship the next move, measure how it landed. Docs at nimroboai.com

An orchestration runtime for multi-agent AI systems. Declare agents, tools, and policies as YAML; Orloj schedules, executes, routes, and gov

A 21-day hands-on journey to mastering AI for DevOps — covering LLMs, GenAI, CI/CD, Kubernetes, cloud, automation, and AI-powered DevOps pro

Continuum — the agent runtime by ShyftLabs. Build, orchestrate, ship.

Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks

Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — de

Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB

Declarative Python SDK for building AI inference platforms on Kubernetes — bare machines to a served model, composed rather than hand-assemb

Know when an AI conversation thread is still safe to continue — a deterministic, dependency-free continuity planner.

Radicalbit AI Gateway

Verify which LLM an OpenAI-compatible API really serves — single-token behavioral fingerprinting (Jensen-Shannon) from the paper "One Token

Self-hosted LLM router. Cost effective, deterministic, and fast. Secure and private by default.

Six Claude Code skills that harden Opus 4.8 toward frontier behavior. Written by Fable 5, pressure-tested on the target model with transcrip

半人马环 Centaur Loop：AI 员工的最小工作单元框架。把复杂岗位拆解为可由 AI 接管、由人类治理、由反馈和记忆持续进化的循环工作流 / The smallest work unit for building AI employees.

Aixle Flow — orchestrate coding agents through durable, inspectable workflows.

End-to-end Langfuse workshop using a TypeScript Agent to teach the AI engineering loop: tracing, prompt management, monitoring, datasets, ex

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command,

Operational doctrine for practical AI systems design.