Agent RT Documentation
Documentation menu
Reference

Framework
comparison

A concise comparison of Agent RT, LangChain, and LlamaIndex across runtime features plus checked-in installation footprint, latency, and memory measurements.

How to read this table✅ means built in, ◐ means available or integration-dependent, and — means it is not a primary built-in focus. Benchmark figures are scenario-specific measurements from the repository comparison suite, not universal framework rankings. Python fresh-install footprint is the 2026-10-03 Python 3.13.13 clean-uv venv measurement above the empty-venv baseline. TypeScript fresh-install footprint is the 2026-10-03 Node.js 22.22.2/npm 10.9.7 clean-project measurement of logical node_modules bytes. Both include transitive dependencies.

⚖️ Quick comparison

⚡ Agent RT🦜 LangChain🗂️ LlamaIndex
🎯 Primary focus🧠 Agent runtime🧩 App/orchestration framework📚 Data & RAG framework
Python + TypeScript✅✅✅
🛠️ Tools & agent loop✅ Built-in✅✅
🔐 Permissions & approvals✅ Built-in◐◐
🧰 API & CLI tools✅ Built-in (optional packages)——
🌐 OpenAI + Anthropic compatible API✅ Built-in server adapters◐ Integration-dependent◐ Integration-dependent
🛡️ Agent Action Guard✅ Built-in integration (opt-in)——
🧠 Decision-model control gates✅ Tool pruning, memory/retrieval gates, failure classification——
🧠 Harmful-memory guard✅ Decision-model screening before memory persistence and retrieval exposure; detects harmful-action influence, misleading authority, instruction hijacking, and safeguard bypass attempts◐ Application/integration-defined◐ Application/integration-defined
🔎 Tool/skill pre-registration safety scan✅ Deterministic scan of names, descriptions, schemas/metadata, skill frontmatter/instructions, embedded tools, and string resources◐ Application/integration-defined◐ Application/integration-defined
🚧 Decision approval for external tools/skills✅ Fail-closed Decision-model scan before filesystem skill activation; checked registration path for untrusted tools◐ Application/integration-defined◐ Application/integration-defined
✂️ Tool catalog pruning before model call✅ Built-in◐ Integration-dependent◐ Integration-dependent
📦 Sandboxing✅ Fail-closed backend selection◐◐
♻️ Budget-preserving checkpoints✅ Resume with prior turn/tool/token budgets◐◐
💾 Memory & checkpoints✅ Built-in✅✅
🗃️ Switch vector DBs✅ Simple env/registry switch◐ Integration-dependent◐ Integration-dependent
🔌 Provider-neutral✅✅✅
🪶 Lightweight runtime focus✅◐◐
Fresh install footprint46.43 MiB69.87 MiB219.91 MiB
Warm latency1.56 ms9.03 ms4.26 ms
Runtime memory+5.86 MiB+19.77 MiB+22.42 MiB
Fresh install footprint1.24 MiB82.44 MiB60.38 MiB
Warm latency1.85 ms2.60 ms2.23 ms
Runtime memory+14.33 MiB+17.27 MiB+16.79 MiB

📊 For benchmark methodology, environment, raw measured outputs, startup results, tool-loop measurements, and schema-token analysis, see the reproducible framework benchmarks ↗.