Stars
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
A Rust HTTP server for Python applications
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-writ…
Agent workspace built on Cloudflare Workers for creating documents, building apps, and running agents with your company’s context and systems.
Build Real-Time Knowledge Graphs for AI Agents
SGLang is a high-performance serving framework for large language models and multimodal models.
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
Framework for evaluating and improving agents
🦔 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…
A high-performance observability data pipeline.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for seman…
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and…
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A vector index built on TurboQuant, written in Rust with Python bindings
#1 Persistent memory for AI coding agents based on real-world benchmarks
Offical Implementation for "Recursive Multi-Agent Systems"
Algorithm powering the For You feed on X
Learn how to develop, deploy and iterate on production-grade ML applications.
Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents
Kronos: A Foundation Model for the Language of Financial Markets
TradingAgents: Multi-Agents LLM Financial Trading Framework
Papers from the computer science community to read and discuss.
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！