Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
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Updated
Jun 4, 2026 - Python
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
CodeWiki is a knowledge platform that analyzes repositories into AST graphs, builds GraphRAG indexes, and generates source-grounded developer wikis with FastAPI, React, and LiteLLM.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
"RAG-Anything: All-in-One RAG Framework"
A curated list of papers, benchmarks, attacks, defenses, and security analyses for self-evolving AI agents.
Let Skills Evolve Collectively with Agentic Evolver
Fork — document/visual understanding (upstream OSS).
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
Convert PDF to markdown + JSON quickly with high accuracy
OCR, layout analysis, reading order, table recognition in 90+ languages
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Get your documents ready for gen AI
Self-hosted AI workspace.
Build Real-Time Knowledge Graphs for AI Agents
Git for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.
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