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Source channel @githubtrending · Post #15299 · Nov 12

#python#agent#ai#aiagent#awesome#chatgpt#hacktoberfest#hacktoberfest2025#llm#long_short_term_memory#memori_ai#memory#memory_management#python#rag#state_management Memori is an open-source memory engine that gives AI language models human-like memory using standard SQL databases like PostgreSQL, MySQL, or SQLite.[1][2] With just one line of code, you can enable any LLM to remember conversations, learn from interactions, and maintain context across sessions.[1] The key benefits are significant cost savings of 80-90% compared to expensive vector databases, complete data ownership and transparency since memories are stored in SQL databases you control, and zero vendor lock-in allowing you to export and move your data anywhere.[1][3] Memori works with popular frameworks like OpenAI, Anthropic, and LangChain, making it easy to integrate into existing projects without complex setup.[1] https://github.com/GibsonAI/Memori

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Libreware

@libreware · Post #1330 · 09/05/2024, 08:53 PM

Interactive PDF Analysis (also called IPA) allows any researcher to explore the inner details of any PDF file. PDF files may be used to carry malicious payloads that exploit vulnerabilities, and issues of PDF viewer, or may be used in phishing campaigns as social engineering artefacts. The goal of this software is to let any analyst go deep on its own the PDF file. Via IPA, you may extract important payload from PDF files, understand the relationship across objects, and infer elements that may be helpful for triage of malicious or untrusted payloads. IPA/README.md at main · seekbytes/IPA · GitHub #PDF#PDFanalysis#Malware#Security