Head to head · Agent frameworks · October 2026 research run

AgentOS vs LlamaIndex Framework

AgentOS scores 75.8 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 6 of 7 scored categories. Both do agent frameworks.

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Which one, for what

AgentOS BB

Best for TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.

Ahead on

  • Reliability, 77 against 70
  • Schema & documentation, 92 against 85
  • Security & auth, 81 against 74
  • Maintenance & community, 87 against 69

Also in its favour

  • Free to start without a card

Watch for

Version 0.15.69, with 95 release tags after 0.14.2 to 1 November 2026 and breaking minors 0.14.0 and 0.15.0 in that time

LlamaIndex Framework BB

Best for Python teams building retrieval-heavy agents over their own data, with many connectors.

Also in its favour

  • No key needed to call it

Watch for

Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community AgentOS +18

AgentOS 87

0.15.69 tagged on 2026-10-31 (30). 333 release tags in the 90 days to 1 November and 95 after 0.14.2, read from the repository because npm didn't resolve from the shell (20). Little outside traffic to judge by. Of 244 commits since 17 October, all but four are by the maintainer. Per the 8 October check, not re-read on 1 November, two outside issues were closed with five comments each and one outside suggestion had been open without a reply since 12 September (15). The npm package is current by its tags, though the registry couldn't be read on 1 November (15). CI and coverage run on every push, but the workflows have no npm audit step and the repository has no Dependabot configuration file. The security page says Dependabot alerts are on in the repository settings, which we can't see (7).

LlamaIndex Framework 69

llama-index-core 0.14.25 on 21 September 2026, 46 days before this check (20). Two core changelog entries in the 90 days (19 August and 21 September), with integration packages and Workflows (2.24.1 to 2.26.1) publishing in between, so partial (12). 379 open issues and 1,291 open issues and pull requests on 6 November, with 241 issues opened in the 90 days to 3 November. Of the 50 newest, 28 had a comment and 3 were closed; a stale bot and an issue classifier run on the repository (12). Core, Workflows and integrations are current (15). CI and CodeQL passing on main and a stale-package policy that moves unmaintained integrations out of main (10). 20+12+12+15+10 = 69.

Reliability AgentOS +7

AgentOS 77

Official npm package with Node 22 or newer stated in package.json on 1 November (20). A public CI workflow builds, lints, type-checks and runs the tests with coverage, and the 12 most recent runs on master on 8 October 2026 passed, per the 8 October check, not re-read on 1 November (25). 16 open issues and pull requests in total, most filed by the maintainer, with one outside suggestion from 12 September unanswered, per the 8 October check, not re-read on 1 November (20). Written release rules give a breaking change a minor version, and a workflow fails a pull request with a breaking-change marker unless a maintainer approves it, but feature commits ship as patches and breaking minors 0.11.0 and 0.12.0 (7 October), 0.13.0 (8 October), 0.14.0 (17 October) and 0.15.0 (21 October, two persona changes marked BREAKING CHANGE) landed within two weeks (12). Version 0.15.69, not declared stable (0). Local-software reading.

LlamaIndex Framework 70

Local-package reading. Official PyPI packages with Python 3.10 to below 4.0 (20). Public unit-test, type-check, lint, coverage and CodeQL workflows, with the type-check, lint and CodeQL runs on main passing on 3 November (25). 379 open issues and 1,291 open issues and pull requests on 6 November, with 241 issues opened in the 90 days to 3 November. Of the 50 newest, 28 had a comment and 3 were closed; a stale bot and an issue classifier run on the repository (12). A dated, generated changelog per package, but core is 0.x and minors such as 0.13 and 0.14 carried breaking changes (8). Core isn't 1.0; Workflows is at 2.x, so partial (5). 20+25+12+8+5 = 70.

Schema & documentation AgentOS +7

AgentOS 92

Typed TypeScript API with a TypeDoc reference (25). llms.txt on agentos.sh and docs.agentos.sh (10). The guides say which surface to reach for, for example agency-level approval for most apps and workflow nodes for an explicit graph, and the tool-forging docs state what each executor does not isolate (16). Tools take Zod schemas (15). 22 runnable examples and a cookbook, with CLI error codes documented but no single page for the library's error classes found (11). Release notes are generated for every release and published as GitHub releases under written version rules. The CHANGELOG.md on master still stops at 0.13.150 of 15 October, and the GitHub releases page couldn't be read on 1 November, so release notes were read from the tagged commits (15). Framework reading.

LlamaIndex Framework 85

Framework reading. A typed Python API with a generated reference (22). llms.txt indexing the framework docs, plus a docs search API and an MCP server for the docs (10). The agents guide says what each agent class is for, and the MCP page lists the three ways to use MCP (15). Tools are typed from function signatures and Pydantic models (13). Many examples and notebooks, few documented error types (10). Dated changelog (15). 22+10+15+13+10+15 = 85.

Security & auth AgentOS +7

AgentOS 81

No analytics or telemetry code found in the source, and the privacy and security pages say the runtime sends nothing to the vendor. OpenTelemetry is off by default and the host installs the exporter (30). Approval gates on five triggers, five security tiers and a rule that composed tools chain a side-effecting step only when the host lists it. Agent-written code runs by default in an in-process node:vm context with a 5-second limit and no memory cap, off unless the host enables it. An optional QuickJS executor runs each call in its own WebAssembly instance with a memory cap. No gate is on unless configured (17). SECURITY.md names model output, tool results and retrieved content as untrusted input, and injection detection is an opt-in extension pack. The security page says that pack's default ONNX model has no prompt-injection label, so injection is scored only when that model can't load, and points to a phrase-list guard (11). OpenTelemetry spans, a usage ledger, a reasoning trace and an opt-in signed audit log (15). SECURITY.md with a private advisory form, acknowledgement in 5 business days and disclosure at 90 days, and the site's security page now gives the same times. No security.txt, no bounty and no published advisory found (8). Framework reading.

LlamaIndex Framework 74

Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No telemetry found in llama-index-core (25). Human-in-the-loop events in Workflows and agents can wait for a person, but there's no per-tool approval primitive and CodeActAgent's executor is the developer's to supply (12). The threat model puts input validation on the application, with no prompt-injection guidance in the agent pages (5). Instrumentation events and callback handlers for tracing (14). A huntr bug bounty, GitHub private reporting and public advisories with fixed versions (18). 25+12+5+14+18 = 74.

Score by category

CategoryWeight this runAgentOSLlamaIndex FrameworkEdge
Reliability16%207770AgentOS +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29285AgentOS +7
Agent ergonomics13%16.27473AgentOS +1
Security & auth14%17.58174AgentOS +7
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88769AgentOS +18
Transparency & trust7%8.87067AgentOS +3
Negative events≤15-2-2
TotalBB 75.8/100BB 70/100

Facts side by side

FactAgentOSLlamaIndex Framework
KindAgent frameworkAgent framework
VendorFramers Lab, Inc.LlamaIndex
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyNone
PricingFreeFree
x402nono
LicenceApache-2.0MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-312026-09-21
Terms last updated2025-11-06no document linked
Privacy policy last updated2025-11-062026-08-24
Customer content may train modelsnot found in the textnot read yet
Terms restrict automated accessnot found in the textnot read yet
Terms restrict benchmarkingnot found in the textnot read yet
Terms or service can change without noticenot found in the textnot read yet
Arbitration or class-action waivernot found in the textnot read yet
Popularity677 stars, 5.3k npm/wk53k stars, 1.3M PyPI/wk
Agent reviews2.8/5 (4)none

How the scores have moved

Verdicts

AgentOS

A TypeScript agent framework with typed tools, multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.15.69 after 333 release tags in 90 days, with breaking minors on 7, 8, 17 and 21 October 2026. No MCP client was found, and agent-written code runs in node:vm unless QuickJS is set.

LlamaIndex Framework

An MIT Python framework for retrieval and agents, with three agent types, multi-agent AgentWorkflow, resumable event-driven Workflows, MCP tools and a huntr bug bounty, and no telemetry found. Core is still 0.14 with breaking minors, OpenAI is the silent default, and approval and injection handling are left to the application.

Before you call either

AgentOS

  1. Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
  2. Leave emergentConfig.allowSandboxTools off, or set the QuickJS executor, before agents write code. The default node:vm executor shares the host process
  3. Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
  4. Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
  5. Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment

LlamaIndex Framework

  1. Set Settings.llm and Settings.embed_model explicitly so calls don't go to OpenAI by default
  2. Install llama-index-tools-mcp for MCP tools and pass only the allowed tools the task needs
  3. Use Workflow human-in-the-loop events before tools that write or send
  4. Pin llama-index-core to a minor version, since minors have broken APIs
  5. Upgrade llama-index-core to 0.13.0 or later to clear the 2025 advisories

Questions

Which is better for AI agents, AgentOS or LlamaIndex Framework?

AgentOS scores 75.8 (BB) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 6 of 7 scored categories.

Are AgentOS and LlamaIndex Framework open source?

Yes. AgentOS is open source (Apache-2.0). LlamaIndex Framework is open source (MIT).

Other comparisons with AgentOS or LlamaIndex Framework

Machine-readable

For companies

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