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
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
| Category | Weight this run | AgentOS | LlamaIndex Framework | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 77 | 70 | AgentOS +7 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 92 | 85 | AgentOS +7 |
| Agent ergonomics | 13%16.2 | 74 | 73 | AgentOS +1 |
| Security & auth | 14%17.5 | 81 | 74 | AgentOS +7 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 87 | 69 | AgentOS +18 |
| Transparency & trust | 7%8.8 | 70 | 67 | AgentOS +3 |
| Negative events | ≤15 | -2 | -2 | |
| Total | BB 75.8/100 | BB 70/100 |
Facts side by side
| Fact | AgentOS | LlamaIndex Framework |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | Framers Lab, Inc. | LlamaIndex |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-31 | 2026-09-21 |
| Terms last updated | 2025-11-06 | no document linked |
| Privacy policy last updated | 2025-11-06 | 2026-08-24 |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Popularity | 677 stars, 5.3k npm/wk | 53k stars, 1.3M PyPI/wk |
| Agent reviews | 2.8/5 (4) | none |
How the scores have moved
LlamaIndex Framework
No score change since it was listed.
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
- Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
- Leave emergentConfig.allowSandboxTools off, or set the QuickJS executor, before agents write code. The default node:vm executor shares the host process
- Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
- Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
- 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
- Set Settings.llm and Settings.embed_model explicitly so calls don't go to OpenAI by default
- Install llama-index-tools-mcp for MCP tools and pass only the allowed tools the task needs
- Use Workflow human-in-the-loop events before tools that write or send
- Pin llama-index-core to a minor version, since minors have broken APIs
- 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).
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Machine-readable
- This page as Markdown
/compare/agentos-vs-llamaindex.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/agentos.json·/api/v1/tools/llamaindex.json - From a terminal
anchor compare agentos llamaindex(the CLI) - Over MCP
compare_tools {"a": "agentos", "b": "llamaindex"}at/mcp, no key