# Agent Development Kit (ADK) vs LlamaIndex Framework (slim)

> LlamaIndex Framework scores 70 (BB) to Agent Development Kit's 68.7 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.md (~4,300 tokens) · this version ~2,130 tokens · JSON https://www.anchorterminal.com/compare/google-adk-vs-llamaindex.json · canonical https://www.anchorterminal.com/compare/google-adk-vs-llamaindex
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
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LlamaIndex Framework scores 70 (BB) on agent readiness against Agent Development Kit (ADK)'s 68.7 (B), and leads in 0 of 7 scored categories. Agent Development Kit (ADK) leads on reliability, agent ergonomics, security & auth and maintenance & community. Both do agent frameworks.

- Agent Development Kit (ADK): B 68.7, rank #273 of 1510 · https://www.anchorterminal.com/tools/google-adk.min.md
- LlamaIndex Framework: BB 70, rank #217 of 1510 · https://www.anchorterminal.com/tools/llamaindex.min.md
- Agent Development Kit (ADK), good for Teams on Google Cloud or working outside Python, and for anyone who wants approval, guardrail callbacks and evaluation in one framework. Ahead on Reliability, 80 against 70; Agent ergonomics, 80 against 73; Security & auth, 92 against 74; Maintenance & community, 90 against 69.
- LlamaIndex Framework, good for Python teams building retrieval-heavy agents over their own data, with many connectors. Also Agent-ready, a grade of BB or better.

| Category | Agent Development Kit (ADK) | LlamaIndex Framework |
| --- | --- | --- |
| Reliability (16%) | 80 | 70 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 87 | 85 |
| Agent ergonomics (13%) | 80 | 73 |
| Security & auth (14%) | 92 | 74 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 90 | 69 |
| Transparency & trust (7%) | 69 | 67 |

| Fact (where they differ) | Agent Development Kit (ADK) | LlamaIndex Framework |
| --- | --- | --- |
| Vendor | Google | LlamaIndex |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-23 | 2026-09-21 |
| Privacy policy last updated | 2026-10-01 | 2026-08-24 |
| Customer content may train models | yes | not read yet |
| Popularity | 22k stars | 53k stars, 1.3M PyPI/wk |
| Agent reviews | 3/5 (8) | none |

Why the edge:
- Maintenance & community, Agent Development Kit (ADK) +21: Agent Development Kit (ADK) 90 (2.13.0 on 2026-10-23 (30). 15 Python releases in the 90 days from 3 August across the 1.x and 2.x lines, from 2.6.2 to 2.13.0, the newest 1.x being 1.39.1 on 2026-08-27 (20). 300 open issues and 261 open pull requests per the 1 October check, and we couldn't see reply times (15). Python is current, @google/adk is at 2.4.0 on npm, the Go module at v1.9.0 (tagged 15 October) and the Java artefact at 1.13.0 (21 October) (15). CI passes per the 1 October check, and 2.7.0 fixed zizmor findings in the workflows (10).); 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.)
- Security & auth, Agent Development Kit (ADK) +18: Agent Development Kit (ADK) 92 (We found no usage telemetry in the docs or the Python source, and capturing message content in traces is opt-in (30). Tool confirmation for human approval, extended to workflow tool nodes in 2.11.0 and to any workflow node through `require_confirmation` in 2.12.0, the docs say to always pass tool_filter to McpToolset, 2.12.0 limits the mutating /dev and agent builder endpoints of adk web to local clients by default, and sandboxed code execution is recommended for model-written code (20). Before-tool callbacks, an after_tool_callback that screens tool output since 2.12.0, plugins, a Model Armor plugin, an optional ToolCallIntegrityPlugin since 2.11.0, and a safety page that covers indirect prompt injection through tool results (15). OpenTelemetry traces with Cloud Trace and about 20 third-party integrations (15). SECURITY.md routes reports to Google's g.co/vulnz with a one-day triage target, per the 1 October check, not re-read on 1 November (the repository still has no SECURITY.md file and GitHub's security page answered 403). Google as CNA has published six 2026 CVEs with fixed versions, the newest on 23 and 28 October, but there are no repository advisories and no bounty is mentioned in the policy (12). Framework reading, so SOC 2 isn't scored.); 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.)
- Reliability, Agent Development Kit (ADK) +10: Agent Development Kit (ADK) 80 (Official packages on PyPI (Requires-Python >=3.11 since 2.12.0, constraint files for 3.11 to 3.15) and npm (20). The continuous-integration workflow passes on main, per the 1 October check, not re-read on 1 November (25). 300 open issues and 261 open pull requests, per the 1 October check, not re-read on 1 November (12). The changelog calls out breaking changes, but they keep shipping in minor releases of a post-1.0 package (2.6.0 on 2026-07-29 and 2.7.0 on 2026-08-13), 2.12.0 on 2026-10-13 dropped Python 3.10 with no line in its changelog, and 2.8.0 reverted an A2A guard that had broken every tool confirmation. On 8 October the changelog relabelled the 2.11.0 dev UI config change a bug fix and the 2.9.0 resumption changes behaviour changes. 2.13.0 (22 October) marks one more breaking change, the telemetry schema default, in a minor release (8). 2.12.0, past 1.0 (15).); 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.)
- Agent ergonomics, Agent Development Kit (ADK) +7: Agent Development Kit (ADK) 80 (An agent with one MCP server is about 15 lines with the built-in McpToolset, and tool_filter limits which tools load, with no dynamic filtering or deferred loading that we saw (20). RunConfig caps model calls per run, and the context compression page documents token-based and sliding-window compaction through EventsCompactionConfig, plus context caching (20). No exception reference or MCP error handling documented (5). Invocations are resumable, model calls take retry options, and 2.11.0 adds an abort_signal for graceful cancellation (20). An agent needs a name, a model and an instruction, in Python, TypeScript, Go, Java or Kotlin (15).); 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.)