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Is There a Community Edition of Palantir? Meet OpenPlanter: An Open Source Recursive AI Agent for Your Micro Surveillance Use Cases
OpenPlanter is a recursive-language-model investigation agent designed to automate civic oversight and forensic data analysis. The system ingests disparate structured and unstructured datasets to perform entity resolution and detect probabilistic anomalies across public records. It utilizes a recursive sub-agent delegation strategy with a max-depth of 4 to parallelize complex evidence-chain construction. The technical stack includes gpt-5.2 and claude-opus-4-6, supported by 19 tools for shell execution, file I/O, and web search. By acting as an open-source alternative to proprietary surveillance platforms....… Read the full analysis/article here.
NVIDIA Releases DreamDojo: An Open-Source Robot World Model Trained on 44,711 Hours of Real-World Human Video Data
NVIDIA has introduced DreamDojo, an open-source, generalizable foundation world model designed to simulate complex robotics tasks by 'dreaming' future outcomes directly in pixels. By pretraining on 44,711 hours of egocentric human videos—the largest dataset of its kind—the model acquires a deep understanding of real-world physics and interaction dynamics. To overcome the lack of motor labels in human data, the NVIDIA team implemented continuous latent actions as a hardware-agnostic proxy, allowing the model to transfer knowledge across different robot embodiments. Optimized through a Self Forcing distillation pipeline, DreamDojo achieves real-time speeds of 10.81 FPS, unlocking advanced applications such as live teleoperation, model-based planning, and highly accurate policy evaluation with a 0.995 Pearson correlation to real-world performance.....… Read the full analysis/article here.
Latest Releases in Last 72 Hours
Project Notebooks/Tutorials
▶ A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution Codes Tutorial
▶ Meet CopilotKit: Framework for building agent-native applications with Generative UI, shared state, and human-in-the-loop workflows Codes
▶ How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs Codes Tutorial
▶ A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation Codes Tutorial
▶ How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining Codes Tutorial