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langgraph
8 postsThe four hidden causes behind an AI agent's vanishing memory writes
Four distinct causes make AI agent memory writes vanish silently: key mismatches, compaction drops, lost-update races, and stale-read writes.
737x Faster LangGraph Checkpoints: Where Rust Wins and Where It Loses
fast-langgraph accelerates LangGraph's deepcopy-based checkpointing with Rust, delivering up to 737x speedups on large state but no gain on small flat dicts.
ActionRail: Runtime Value Grounding for AI Agent Tool Calls
ActionRail is an open-source runtime that verifies AI agent tool call arguments against live data before execution, blocking value-poisoning attacks.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comAI agents are shifting from loops to graphs
An analysis of the shift from loop-based AI agents to graph-structured architectures, with practical guidance for engineers.
Agentic Workflows Should Mature Into Deterministic Code
New research shows agentic workflows should mature into deterministic code as patterns repeat, using LangGraph as the visible seam.
The Essential Role of Workflow in AI Agents: Understanding Modern Applications
The relationship between AI agents and workflows, and their significance in modern applications. Design principles using tools like LangGraph and n8n.
LangGraph Pipelines Can Succeed and Still Be Wrong
LangGraph pipelines can finish cleanly while routing decisions silently drift wrong. See why maker/checker divergence and state snapshots catch what standard monitoring misses.
LangGraph vs LangChain: When to Choose Each in 2026
Explore the use cases and advantages of LangGraph and LangChain libraries in 2026.