← Analyses

Cost-economics & token-governance coverage

Which products and frameworks ship cost-control features? Per the May 2026 volumetric agent, cost / token-economics is the #2 most-asked question in agent infrastructure (171 HN mentions in the last 12 months, Sequoia's "60-70% gross margins to inference is unsustainable" framing, LangChain's State-of-Agents survey logging cost as the second-biggest blocker). The practitioner question has shifted from "how expensive is this?" to "how do I govern spend?" — this matrix pivots the catalog's seven cost-* columns into a governance-score view.

Datadog State of AI Agents 2026 found that 69% of input tokens go to system-prompt overhead — the cost-governance crisis is real, but the picture below shows which frameworks have the features practitioners can actually pull. Token budgets, prompt caching, and cost attribution are the load-bearing trio; semantic caching is still almost nowhere.

Coverage: 110/1002 products (11%) have at least one cost-economics cell filled in. Of those analyzed, 53.6% declare support for at least one of the seven tracked governance features. The rest of the catalog (mostly research papers and depth-floor rows) is surfaced as unknown by default — the matrix explicitly shows where research has bottomed out rather than papering over the gap.

Out of scope: per-call pricing data (e.g. $0.003 / 1k input tokens) — pricing changes too fast and goes stale within weeks. This view tracks the governance features that let you control spend, not the spend itself.

Per-feature support

Out of 110 analyzed products. Bars scale to the leader; numbers are absolute supportedCount.

  • Token budget 25 (22.7%)
  • Prompt caching 19 (17.3%)
  • Semantic caching 4 (3.6%)
  • Batch API 7 (6.4%)
  • Model routing 27 (24.5%)
  • Streaming-only 12 (10.9%)
  • Cost attribution 24 (21.8%)

Leader: Model routing with 27 supported products (24.5% of analyzed).

Legend

  • yes feature documented — citation in the cell tooltip
  • no feature absent / not exposed for this product class
  • unknown not yet researched, depth-floor reached, or not applicable

Matrix — showing 110 of 1002

ProductTierSectionToken budgetPrompt cachingSemantic cachingBatch APIModel routingStreaming-onlyCost attributionScore
LangGraph (orchestration) Token budgetT1Agent frameworks (no first-party memory layer)●●●●●○●6 / 7
Anthropic Claude (foundation models) Token budgetT1Foundation models (substrate reference)●●○●○●●5 / 7
Claude Code (Anthropic) Token budgetT1Agent IDEs & coding harnesses●●○○●●●5 / 7
Vertex AI Memory Bank (now Agent Platform Memory Bank) Token budgetT2Platform-provider memory●●○●○●●5 / 7
Alibaba Qwen 3 family Token budgetT1Foundation models (substrate reference)●●○●○●○4 / 7
Anthropic Computer Use Token budgetT1Computer-use & desktop agents●●○●○●○4 / 7
AutoGen / AG2 Token budgetT1Agent frameworks (no first-party memory layer)●●○○●○●4 / 7
Cline (framework) Token budgetT1Agent frameworks (no first-party memory layer)●●○○●○●4 / 7
OpenAI Agents SDK Token budgetT1Agent frameworks (no first-party memory layer)●●○○●○●4 / 7
OpenAI Codex CLI Token budgetT1Agent IDEs & coding harnesses●●○○●●○4 / 7
Sourcegraph Cody (agent) Token budgetT1Agent IDEs & coding harnesses●○○○●●●4 / 7
Continue.dev Token budgetT2Agent IDEs & coding harnesses●●○○●○○3 / 7
CrewAI Token budgetT1Agent frameworks (no first-party memory layer)●○○○●○●3 / 7
DeepSeek R1 / V3 family Token budgetT1Foundation models (substrate reference)●●○○○●○3 / 7
Mistral Vibe (Remote Agents) + Mistral Medium 3.5 Token budgetT1Coding-agent memory●○○●○●○3 / 7
OpenAI Realtime API Token budgetT1Voice agent platforms●●○○○●○3 / 7
OpenHands Token budgetT1Agent IDEs & coding harnesses●●○○●○○3 / 7
Windsurf (now Devin Desktop) Prompt cachingT1Agent IDEs & coding harnesses○●○○●○●3 / 7
Browser Use Token budgetT1Computer-use & desktop agents●○○○●○○2 / 7
ElevenLabs Conversational AI (now ElevenAgents) Model routingT1Voice agent platforms○○○○●●○2 / 7
JetBrains AI Assistant Model routingT1Agent IDEs & coding harnesses○○○○●○●2 / 7
Letta / MemGPT Token budgetT1Dedicated memory layers●○○○●○○2 / 7
agentmemory (rohitg00) Token budgetT3Coding-agent memory●–––●––2 / 7
OpenAI Codex Memories + Chronicle Prompt cachingT3Coding-agent memory–●––●––2 / 7
TrueFoundry AI Gateway Token budgetT3Inference platforms & gateways●●–––––2 / 7
Amazon Q Developer Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Arize Phoenix Cost attributionT1Evaluation & observability platforms○○○○○○●1 / 7
Augment Code Prompt cachingT1Coding-agent memory○●○○○○○1 / 7
Bolt.new (StackBlitz) — harness Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Braintrust Cost attributionT1Evaluation & observability platforms○○○○○○●1 / 7
Browserbase Cost attributionT1Browser-agent memory○○○○○○●1 / 7
Cognee Model routingT1Dedicated memory layers○○○○●○○1 / 7
Cognition Devin v2 / Spec Mode Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Datadog Bits AI Cost attributionT1Use-case-specific agent harnesses○○○○○○●1 / 7
Devin (Cognition) Cost attributionT1Coding-agent memory○○○○○○●1 / 7
GraphRAG (Microsoft) Model routingT1Retrieval-as-memory hybrids○○○○●○○1 / 7
Lovable.dev — harness Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Mem0 Model routingT1Dedicated memory layers○○○○●○○1 / 7
Replit Agent v3 Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Salesforce Agentforce Cost attributionT1Use-case-specific agent harnesses○○○○○○●1 / 7
v0 (Vercel) Cost attributionT1Agent IDEs & coding harnesses○○○○○○●1 / 7
Zep & Graphiti Model routingT1Dedicated memory layers○○○○●○○1 / 7
ACE — Agentic Context Engineering Token budgetT3Recent method papers — theorized, no distinct product●––––––1 / 7
Agent Router (formerly Envoy AI Gateway) Cost attributionT3Inference platforms & gateways––––––●1 / 7
agentgateway Semantic cachingT3Inference platforms & gateways––●––––1 / 7
Bifrost (Maxim AI) Semantic cachingT3Inference platforms & gateways––●––––1 / 7
Docker MCP Catalog, Toolkit & Gateway Model routingT3MCP gateways & registries––––●––1 / 7
EvoMemBench Batch APIT3Memory benchmarks & evaluation–––●–––1 / 7
Gemini CLI memory (save_memory / GEMINI.md) Model routingT3Coding-agent memory––––●––1 / 7
GitHub Copilot Memory (agentic memory) Model routingT3Coding-agent memory––––●––1 / 7
Honcho (Plastic Labs) Token budgetT3Dedicated memory layers●––––––1 / 7
Kong AI Gateway Semantic cachingT3MCP gateways & registries––●––––1 / 7
Obot Streaming-onlyT3MCP gateways & registries–––––●–1 / 7
OpenClaw memory Prompt cachingT3File-backed / editor paradigms–●–––––1 / 7
SandBase Harness Token budgetT3AI sandbox & runtime environments●––––––1 / 7
Second Me (Mindverse) Model routingT3Personal AI / PKM / lifelogging memory––––●––1 / 7
SimpleMem Token budgetT3Recent method papers — theorized, no distinct product●––––––1 / 7
Smithery Model routingT3MCP gateways & registries––––●––1 / 7
Vercel AI Gateway Model routingT3Inference platforms & gateways––––●––1 / 7
Abridge T1Vertical / domain-specific AI memory○○○○○○○0 / 7
AGENTS.md T1File-backed / editor paradigms○○○○○○○0 / 7
Amazon Neptune Analytics T1Knowledge-graph platforms○○○○○○○0 / 7
Anthropic Claude Memory T1Platform-provider memory○○○○○○○0 / 7
Character.ai T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Charisma.ai T1Vertical / domain-specific AI memory○○○○○○○0 / 7
ChatGPT — Codex (cloud agent) T1Agent IDEs & coding harnesses○○○○○○○0 / 7
Claude Code auto-memory T1Claude Code memory mechanisms○○○○○○○0 / 7
Claude for Chrome T1Computer-use & desktop agents○○○○○○○0 / 7
claude-mem T1Claude Code memory mechanisms○○○○○○○0 / 7
CLAUDE.md T1File-backed / editor paradigms○○○○○○○0 / 7
Cursor Rules T1File-backed / editor paradigms○○○○○○○0 / 7
Decagon T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Dia (Atlassian) T1Browser-agent memory○○○○○○○0 / 7
Fellou T1Browser-agent memory○○○○○○○0 / 7
GitHub Copilot Workspace T1Agent IDEs & coding harnesses○○○○○○○0 / 7
Google DeepMind Gemini Robotics T1Robotics foundation models & agent stacks○○○○○○○0 / 7
Google Gemini Memory T1Platform-provider memory○○○○○○○0 / 7
Granola T1Voice-first / wearable AI memory○○○○○○○0 / 7
Graphiti MCP Server (Zep) T1Claude Code memory mechanisms○○○○○○○0 / 7
Grok Memory (xAI) T1Platform-provider memory○○○○○○○0 / 7
Harvey Memory T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Hippocratic AI Polaris T1Vertical / domain-specific AI memory○○○○○○○0 / 7
HubSpot Breeze AI Agents T1Use-case-specific agent harnesses○○○○○○○0 / 7
Hugging Face LeRobot T1Robotics foundation models & agent stacks○○○○○○○0 / 7
Kiro T1Agent IDEs & coding harnesses○○○○○○○0 / 7
LanceDB T1Vector-database infrastructure○○○○○○○0 / 7
MCP Servers (Reference) T1Agent frameworks (no first-party memory layer)○○○○○○○0 / 7
Mem0 MCP (official) T1Claude Code memory mechanisms○○○○○○○0 / 7
Mem0 Security / OpenMemory T1Memory governance, privacy & safety○○○○○○○0 / 7
Meta AI Memory T1Platform-provider memory○○○○○○○0 / 7
Microsoft Copilot Memory T1Platform-provider memory○○○○○○○0 / 7
Microsoft Edge Copilot Mode + Journeys (now Copilot in Edge) T1Browser-agent memory○○○○○○○0 / 7
Mistral Le Chat — Memories (now Vibe) T1Platform-provider memory○○○○○○○0 / 7
Model Context Protocol (MCP spec) T1Agent frameworks (no first-party memory layer)○○○○○○○0 / 7
Neo4j T1Knowledge-graph platforms○○○○○○○0 / 7
NVIDIA GR00T / Isaac T1Robotics foundation models & agent stacks○○○○○○○0 / 7
Official MCP Memory server T1Claude Code memory mechanisms○○○○○○○0 / 7
Omi T1Voice-first / wearable AI memory○○○○○○○0 / 7
OpenAI ChatGPT Memory T1Platform-provider memory○○○○○○○0 / 7
OpenAI Deep Research T1Use-case-specific agent harnesses○○○○○○○0 / 7
OpenAI Operator T1Computer-use & desktop agents○○○○○○○0 / 7
Perplexity Comet T1Browser-agent memory○○○○○○○0 / 7
Perplexity Deep Research T1Use-case-specific agent harnesses○○○○○○○0 / 7
Physical Intelligence (π) T1Robotics foundation models & agent stacks○○○○○○○0 / 7
Project Mariner T1Computer-use & desktop agents○○○○○○○0 / 7
Sierra T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Suki AI T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Supermemory T1Dedicated memory layers○○○○○○○0 / 7
Wayve GAIA-2 / GAIA-3 T1Vertical / domain-specific AI memory○○○○○○○0 / 7
Windsurf Rules & Memories (now Devin Desktop) T1File-backed / editor paradigms○○○○○○○0 / 7
← Analyses hub Pivot of cost-* cells. Helper in $lib/analyses/cost-economics.ts. Schema in docs/SCHEMA.md (section 2.5.2).