The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves, 5-provider LLM eval, multi-seed CI. No API key needed.
GitHub repository with 6 stars and 2 forks.
Language: Python
Topics: ai-evaluation, benchmarking, chatbot, conversation-memory, ebbinghaus, evaluation, large-language-models, llm, llm-benchmark, llm-memory
Trending score 0.01, activity score 0.00, stars gained +0, forks gained +0.
2026-06-05: 6 stars and 2 forks.
The open-source diagnostic for AI misalignment. 32 tests across fabrication, manipulation, deception, unpredictability, and opacity. Provider-agnostic. Runs against OpenAI, Anthropic, Bedrock, Azure, Gemini, and more. Letter grade in under 5 minutes, content-addressed manifest for bit-identical replay. Built by iMe.
GitHub repository with 466 stars and 90 forks.
Trending score: 1.78; stars gained: +6; forks gained: +3.
Language: Python
Topics: ai, diagnostic-tool, misalignment, agent-evaluation, ai-alignment, ai-evaluation
Benchmark LLMs on real professional tasks, not academic puzzles. YAML-driven experiment pipeline + live React dashboard for GDPVal Gold Subset (220 tasks across 11 industries).
GitHub repository with 14 stars and 2 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-evaluation, anthropic, azure-openai, benchmark-automation, code-interpreter, dashboard
Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini)
GitHub repository with 10 stars and 6 forks.
Trending score: 0.03; stars gained: -2; forks gained: +1.
Language: Python
Topics: ai-agents, ai-evaluation, ai-evaluation-framework, ai-quality, ai-reliability, ai-safety
The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves, 5-provider LLM eval, multi-seed CI. No API key needed.
GitHub repository with 6 stars and 2 forks.
Trending score: 0.01; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-evaluation, benchmarking, chatbot, conversation-memory, ebbinghaus, evaluation
The agent that grows with you
GitHub repository with 181,180 stars and 31,085 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,594 stars and 817 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,254 stars and 2,241 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,059 stars and 20,110 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,774 stars and 38,952 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
The open-source diagnostic for AI misalignment. 32 tests across fabrication, manipulation, deception, unpredictability, and opacity. Provider-agnostic. Runs against OpenAI, Anthropic, Bedrock, Azure, Gemini, and more. Letter grade in under 5 minutes, content-addressed manifest for bit-identical replay. Built by iMe.
GitHub repository with 466 stars and 90 forks.
Trending score: 1.78; stars gained: +6; forks gained: +3.
Language: Python
Topics: ai, diagnostic-tool, misalignment, agent-evaluation, ai-alignment, ai-evaluation
Benchmark LLMs on real professional tasks, not academic puzzles. YAML-driven experiment pipeline + live React dashboard for GDPVal Gold Subset (220 tasks across 11 industries).
GitHub repository with 14 stars and 2 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-evaluation, anthropic, azure-openai, benchmark-automation, code-interpreter, dashboard
Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini)
GitHub repository with 10 stars and 6 forks.
Trending score: 0.03; stars gained: -2; forks gained: +1.
Language: Python
Topics: ai-agents, ai-evaluation, ai-evaluation-framework, ai-quality, ai-reliability, ai-safety
The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves, 5-provider LLM eval, multi-seed CI. No API key needed.
GitHub repository with 6 stars and 2 forks.
Trending score: 0.01; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-evaluation, benchmarking, chatbot, conversation-memory, ebbinghaus, evaluation