Developer-first error tracking and performance monitoring
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Daemon to ban hosts that cause multiple authentication errors
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs
Self-hosted Error Tracking
A simple program which checks Python source files for errors
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Local security audit for AI API relays and LLM proxies: detects prompt injection, model substitution, tool-call rewriting, SSE anomalies, error leakage, and Web3 wallet risks.
PySpark test helper methods with beautiful error messages
Datadog Python APM Client
Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per-route error handling, session-based auth, contextual RBAC. Bundled with extensive docs and modern tooling
:construction: :hammer_and_wrench: shows a 503 error page when maintenance-mode is on.
Fix Antigravity 'not eligible' error - diagnose, clean credentials, auto-fix
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
ENPIRE is an agentic framework that allows AI coding agents to autonomously self-improve real-world robot policies through closed-loop physical trial, error, and evolution
AI API proxy SDK for Python: retry with idempotency keys, rate-limit backoff, task polling, cost accounting and typed errors for OpenAI-compatible AI API gateways.
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
Validate, format, minify, and compare JSON with a clean desktop interface or CLI. Built with Python, featuring syntax highlighting and helpful error messages. Fully local—no uploads or third-party dependencies.
Typed RPC over a warm pool of PEP 734 subinterpreters — real parallelism, real error propagation, no hanging calls.
Seedance 2.5 API provider integration guide with multimodal content, model selection, async tasks, callbacks, errors, and Argolink mapping.
Nano Banana API guide for compatible image generation and editing, reference images, resolutions, limits, errors, and runnable examples.
Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.
Seedance 2.5 API quickstart for JavaScript and Python with runnable requests, async polling, limits, errors, and Argolink contract mapping.
A searchable Argolink guide for DeepSeek V4 Pro: the chat-compatible chat contract, reasoning controls, pricing units, operational errors, and a small offline content tree.
A focused Argolink guide for GLM 5.3: the exact model ID, chat-compatible request, reasoning controls, long-context limits, and production error handling.
A 6-week open-source course on harness engineering: durable pipelines, temporal knowledge graphs, error analysis and MCP.
Typed Python SDK integration patterns for configured clients, streaming, image inputs, video polling, errors, and provider boundary design.
MiniMax H3 prompt and agent skill patterns for video generation, creative intake, prompt engineering, API lifecycle, errors, and post-processing.
Seedance API quickstart for JavaScript and Python with async video jobs, model discovery, uploads, polling, errors, and Argolink migration notes.
Python toolkit for fingerprinting anonymous LLMs on OpenAI-compatible endpoints using tokenizer, context, error, and vision probes
Blackbox Plugin — Local execution error records for Codex on Windows, with source-backed snapshots and Markdown export.
Python compatible client guide for Argolink text and image APIs using base URL configuration, typed requests, authentication, errors, and supported capabilities.
Validates Goose recipe files for schema errors, missing parameters/defaults, invalid requirements, extension configuration issues, and template mismatches. Understands YAML block scalars and Jinja-style {% for %} / {% set %} locals to minimize false positives.
A zero-dependency, configurable mock MCP server for testing MCP clients and harnesses. Serves a correct MCP handshake over stdio (initialize, tools/list, tools/call). You describe tools and canned responses in a JSON file. Simulates errors and missing-argument handling. Perfect target for your existing conformance, audit, and load-test tools.
MCP server + NinjaTrader 8 AddOn that gives an AI coding assistant eyes and a build loop for NinjaScript: compile with structured errors, chart and Print reads, headless backtests, walk-forward, lint, trade match vs research, screenshots. Opt-in Sim-only order and strategy control, plus Sim desk crash-recovery tools. Read-only by default.
Argolink-focused SDK gateway compatibility and error mapping for DeepSeek V4 Pro.