Field Notes

Editorial notes on AI-engineering releases and research, each tied to its primary sources.

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1-12 of 157 matching notes
  1. contextual.ai

    A Vector Store Is Not An Agent Memory System

    Contextual AI separates working, procedural, semantic, and behavioral memory, with evaluation and provenance gates protecting every durable write.

    • memory
    • context-engineering
    • agents
  2. bair.berkeley.edu

    ABBEL Treats Memory as an Explicit Belief State

    The BAIR ABBEL post reframes long-horizon memory as a learned natural-language belief state rather than raw context accumulation.

    • agent-memory
    • long-context
    • research
  3. cloud.google.com

    Agent Teams Collaborate Through Files, Gates, and Roles

    Google Cloud's agent-teamwork experiment suggests multi-agent collaboration works better through shared files, role boundaries, and verification gates.

    • multi-agent
    • agent-orchestration
    • google-cloud
  4. aws.amazon.com

    Amazon Quick Makes Catalog Semantics The Agent Boundary

    Amazon Quick's Agentic Catalog Experience turns upstream definitions and relationships into inherited, reviewable context for grounded Q&A and deterministic dashboards.

    • agents
    • data-engineering
    • developer-tools
  5. blog.bytebytego.com

    ChatGPT Cuts Repeated Work Across The Agent Stack

    ByteByteGo's OpenAI engineering walkthrough connects persistent sessions, stable prompt prefixes, deferred tools, delta tokenization, cache-aware routing, and split inference.

    • agent-harnesses
    • inference
    • performance
  6. anthropic.com

    Containment Caps An Agent's Blast Radius

    Anthropic's three runtime patterns show why hard filesystem, network, credential, and trust boundaries carry more security weight than repeated approval prompts.

    • agent-security
    • agent-harnesses
    • runtime-isolation
  7. philschmid.de

    EvoCode-Bench Exposes Multi-Turn Regression Risk

    EvoCode-Bench tests coding agents across persistent workspaces and evolving requirements, where regressions become the dominant failure mode.

    • coding-agents
    • evals
    • benchmarks
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