insights on self-replicating AI & autonomous systems
exploring the future of autonomous agents, from theory to implementation
Code Execution with MCP: Building More Efficient Agents
Learn how code execution with the Model Context Protocol reduces context overhead by up to 98.7%, enabling agents to handle thousands of tools efficiently.
November 4, 2025
Anthropic Engineering
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Flexible framework enabling RL-based training of LLMs for any AI agent, with complete decoupling between execution and training for seamless integration.
August 5, 2025
Xufang Luo et al.
Deep Agents: Building AI That Plans and Acts Over Complex Tasks
Exploring the architecture behind advanced AI agents that combine detailed prompting, planning tools, sub-agents, and file systems for complex task execution.
July 30, 2025
Harrison Chase
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
A scalable memory-centric architecture that enables AI agents to maintain context across multi-session dialogues, reducing latency by 91% and saving 90% on token costs.
April 28, 2025
Prateek Chhikara et al.
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
Novel framework that enhances LLM-based agents by separating high-level planning from execution, enabling better performance on complex, multi-step tasks.
March 2025
Research Paper
Composio MCP: 250+ Tool Integrations for AI Agents
Comprehensive MCP server implementation providing 20,000+ pre-built API actions and seamless authentication for integrating AI agents with popular services.
2025
Composio
Frontier AI Systems Have Surpassed the Self-Replicating Red Line
Groundbreaking research revealing that AI systems like Llama and Qwen have achieved self-replication capabilities, raising critical questions about AI safety and governance.
December 9, 2024
Xudong Pan et al.
Self-Replication at Scale: How Bob Agents Learn and Evolve
Exploring the mechanisms behind self-replicating AI agents and their ability to adapt and improve over time.
November 13, 2025
The Bob Team
Vector Memory Systems: The Foundation of Adaptive AI
Deep dive into how vector memory enables AI systems to store and retrieve contextual information efficiently.
November 10, 2025
Pranav
Autonomous Execution: From Task to Completion Without Human Intervention
Understanding how autonomous AI systems handle complex tasks from start to finish with minimal oversight.
November 5, 2025
The Bob Team
Why Every Use-Case Needs Its Own AI: The Polymath Vision
The philosophy behind building specialized AI agents for different domains and use cases.
October 28, 2025
Pranav
Code Generation and Self-Improvement: How Bob Writes Better Code
Examining the self-improvement loop that enables Bob to generate increasingly better code.
October 15, 2025
The Bob Team
Building Bob: Lessons from 2.5 Years in AI Development
Reflections and insights gained from years of developing autonomous AI systems.
October 1, 2025
Pranav
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