Head to head · Agent frameworks · October 2026 research run
LlamaIndex Framework vs Strands Agents
Strands Agents scores 80 (A) 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
Best for Python teams building retrieval-heavy agents over their own data, with many connectors.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Core is 0.14.x, and minor versions such as 0.13 and 0.14 carried breaking changes
Best for Python or TypeScript teams, especially on AWS, who want a model-driven loop with MCP, multi-agent patterns and approval gates.
Ahead on
- Reliability, 87 against 70
- Schema & documentation, 95 against 85
- Agent ergonomics, 87 against 73
- Security & auth, 89 against 74
- Maintenance & community, 87 against 69
- Transparency & trust, 72 against 67
Watch for
Three advisories in October 2026 on A2A session sharing and world-readable default session files, fixed in 1.43.0 and 1.48.0
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 Strands Agents +18
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.
Strands Agents 87
Python 1.64.0 and TypeScript 1.24.0 tagged on 4 November 2026 (30). Python 1.55.0 on 8 September, 1.61.0 on 14 October, 1.62.0 on 21 October and 1.63.0 on 30 October among many releases in 90 days (20). 664 open issues and 1,151 open issues and pull requests on 6 November, with 545 issues opened in the 90 days to 3 November. Of the 50 newest, 12 had a comment and 15 were closed, and 9 of the 40 newest open items carry a bug label. An issue-responder workflow runs on new issues (12). Both official SDKs are current (15). Dependency floors, security-audit workflows and CI passing on main (10). 30+20+12+15+10 = 87.
Reliability Strands Agents +17
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.
Strands Agents 87
Local-package reading. Official PyPI and npm packages with Python 3.10 and Node 22 stated (20). A public CI workflow runs lint, type checks, unit and integration tests for each package on pull requests to main, plus security-audit workflows, and the latest Python, TypeScript, harness and MCP runs on main passed on 6 November (25). 664 open issues and 1,151 open issues and pull requests on 6 November, with 545 issues opened in the 90 days to 3 November. Of the 50 newest, 12 had a comment and 15 were closed, and 9 of the 40 newest open items carry a bug label. An issue-responder workflow runs on new issues (12). A written semantic versioning policy, experimental APIs kept apart, and deprecations removed only at a major (15). 1.0 since 15 July 2025 (15). 20+25+12+15+15 = 87.
Security & auth Strands Agents +15
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.
Strands Agents 89
Framework reading (telemetry defaults, approvals, guardrails, sandboxing). No usage analytics found in either SDK, and OpenTelemetry is opt-in (25). Interrupts and the harness's interventions gate tool calls behind human approval or Cedar policies, but the default sandbox is the local host (16). Guardrails, PII redaction and trusted message history pages, with Bedrock Guardrails integration (13). OpenTelemetry traces for every model and tool call (15). The AWS Vulnerability Disclosure Program on HackerOne and three advisories in October 2026 published with fixed versions (20). 25+16+13+15+20 = 89.
Agent ergonomics Strands Agents +14
LlamaIndex Framework 73
Framework reading. MCP tools through a separate llama-index-tools-mcp package, with allowed tools selectable (18). Memory token limits, iteration caps and streaming events (16). Tool errors returned to the agent, with few typed errors (12). Workflow context serialises and resumes, and the DBOS package makes runs durable (16). Few required parameters, but OpenAI is the silent default for LLM and embeddings, Python here with a separate TypeScript edition (11). 18+16+12+16+11 = 73.
Strands Agents 87
Framework reading. An MCPClient is passed straight to the agent in a few lines and its lifecycle is managed, with tool filtering per client (22). Conversation managers, turn limits, token budgets and cancellation bound each run (20). Stop reasons and typed events, and hooks that can retry a model or tool call (16). Retry strategies, session managers that persist and resume a conversation, and interrupts that resume where they paused (17). Two official languages, but the default provider is Bedrock, which needs AWS credentials and model access (12). 22+20+16+17+12 = 87.
Schema & documentation Strands Agents +10
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.
Strands Agents 95
Framework reading. Typed Python and TypeScript APIs with a reference for each (25). llms.txt with a Markdown twin of every page (10). The llms.txt and docs say when to use Strands over a hand-written loop and when to take the harness rather than the SDK (18). Tools are typed from decorated functions or Zod schemas (15). Python and TypeScript examples on every page, stop reasons and hook events documented, with no catalogue of exceptions (12). Versioning page and tagged releases per package (15). 25+10+18+15+12+15 = 95.
Transparency & trust Strands Agents +5
LlamaIndex Framework 67
MIT (30). The library stores nothing itself; OpenAI is the default provider unless changed, which the docs show (20). A stale-package policy and removals noted in the changelog, such as deprecated IPEX integrations removed in 0.14.25, without dated notice (10). No telemetry, though no page states it (12). 30+20+10+12 = 72.
Strands Agents 72
Apache-2.0 (30). A library that stores session state where the developer configures it. The default FileSessionManager kept sessions world-readable in /tmp until 1.48.0, which the October advisories record and fix (20). A written deprecation policy with warnings and removal at majors, without a dated support window (16). Telemetry is opt-in and documented (20). 30+20+16+20 = 86.
Score by category
| Category | Weight this run | LlamaIndex Framework | Strands Agents | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 87 | Strands Agents +17 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 85 | 95 | Strands Agents +10 |
| Agent ergonomics | 13%16.2 | 73 | 87 | Strands Agents +14 |
| Security & auth | 14%17.5 | 74 | 89 | Strands Agents +15 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 69 | 87 | Strands Agents +18 |
| Transparency & trust | 7%8.8 | 67 | 72 | Strands Agents +5 |
| Negative events | ≤15 | -2 | -4 | |
| Total | BB 70/100 | A 80/100 |
Facts side by side
| Fact | LlamaIndex Framework | Strands Agents |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | LlamaIndex | Amazon Web Services |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-21 | 2026-11-04 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | 2026-08-24 | no document linked |
| Popularity | 53k stars, 1.3M PyPI/wk | 9.1k stars, 698k npm/wk, 8.9M PyPI/wk |
Verdicts
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.
Strands Agents
An Apache-2.0 agent SDK for Python and TypeScript with a managed MCP client, multi-agent patterns, interrupts and Cedar policies for approval, opt-in OpenTelemetry and no usage analytics. Bedrock is the default model, the default sandbox is the local host, and three session-isolation advisories were fixed in October 2026.
Before you call either
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
Strands Agents
- Upgrade to strands-agents 1.48.0 or later, and set a private session directory rather than the /tmp default
- Pass a model explicitly when AWS credentials aren't configured, since Bedrock is the default
- Use interrupts or the harness's
interventionsfor tools that write, send or pay - Run shell and file tools in the Docker or SSH sandbox when the agent runs untrusted code
- Pin a minor version when using A2A, MCP or experimental modules
Questions
Which is better for AI agents, LlamaIndex Framework or Strands Agents?
Strands Agents scores 80 (A) on agent readiness against LlamaIndex Framework's 70 (BB), and leads in 6 of 7 scored categories.
Are LlamaIndex Framework and Strands Agents open source?
Yes. LlamaIndex Framework is open source (MIT). Strands Agents is open source (Apache-2.0).
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Machine-readable
- This page as Markdown
/compare/llamaindex-vs-strands-agents.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/llamaindex.json·/api/v1/tools/strands-agents.json - From a terminal
anchor compare llamaindex strands-agents(the CLI) - Over MCP
compare_tools {"a": "llamaindex", "b": "strands-agents"}at/mcp, no key