Field Guides
Implementation playbooks, operator patterns, and deployment methods.
Deep Dives and Frameworks
Implementation playbooks, operator patterns, and durable analysis.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
No Signal or Benchmark watch content is currently available.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
Agent Memory Architecture: Long-Term, Episodic, and Semantic Memory for AI Agents
After a year of ad-hoc RAG solutions, agent memory is becoming a proper engineering discipline. Four independent research efforts outline budget tiers, shared memory banks, empirical grounding, and temporal awareness: the building blocks of a real memory architecture.
Small Language Model Agents: The 2026 Practical Guide to Sub-10B Deployments
In February 2025, using a small model as an autonomous agent felt like a compromise: you got cheaper inference but accepted meaningful capability loss on planning, tool selection, and multi-step reasoning. That trade-off calculus has flipped.
Red Teaming AI Agents: A Practitioner's Guide
Red teaming AI agents is fundamentally different from red teaming standalone models. Agents have tools, memory, and credentials — each a new attack surface. This guide covers the OWASP agentic framework and a structured testing methodology.
MCP Server Architecture in Practice: Tools, Resources, Prompts, and Safe Invocation
Implement MCP servers with robust tool/resource contracts, safe invocation flows, and versioning strategies for production agent systems.
Multi-Agent Communication Protocols: A Builder's Guide
When multiple agents collaborate, communication is the bottleneck. This guide compares MCP, A2A, shared-memory buses, and event-driven architectures for building reliable multi-agent systems.
Inference Optimization: A Practical Production Guide
Most inference costs hide in places engineers never check. This guide breaks down KV-cache management, speculative decoding, quantization trade-offs, and the batching strategies that cut serving costs in half.
AI Orchestration Patterns in 2026: What Survives Production
The three orchestration patterns proven in production: sequential pipelines, parallel fan-out, and evaluator-optimizer loops. Trade-offs and kill-switch design.
Building RAG Systems That Actually Work
73% of enterprise RAG deployments fail, with 80% of failures traced to chunking decisions. This guide covers the implementation decisions that separate working RAG from abandoned prototypes.
The AI Agent Security Playbook
AI agents create attack surfaces that chatbots don't. This playbook covers prompt injection, tool misuse, data exfiltration, multi-agent attacks, defense-in-depth, and the compliance timeline.
The True Cost of Running AI Agents in Production
Raw API pricing is 30-50% of total agent cost. This guide breaks down where the money actually goes, from orchestration overhead to the Jevons paradox, and how to cut spend without cutting capability.