Haystack vs Strands Agents
Haystack leads on trust: 96.3/100 (Grade A) against 90.4/100 (Grade A), a 5.9-point gap. Haystack leads on supply-chain integrity and transparency; Strands Agents leads on adoption.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search…
Choose Haystack if supply-chain integrity and transparency matter most.
- +4.8Safety / Integrity: OSSF Scorecard 9.2 against 5.4
- +3.2Transparency: OSSF Scorecard 9.2 against 5.4
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Choose Strands Agents if adoption matters most.
- +1.2Adoption: 9.3M weekly downloads against 148.3k
Where they differ
2 dimensions identical: Identity 18.0 · Maintenance 19.9 · Full evidence table
An independent, evidence-based trust comparison of Haystack and Strands Agents, two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Haystackdeepset-ai/haystack | Strands Agentsstrands-agents/harness-sdk |
|---|---|---|
| HVTrust score | 96.3 | 90.4 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #1 | #16 |
| Rank in Agent Frameworks | #1 | #6 |
| GitHub stars | 26.7k | 8.7k |
| Last updated | 1d ago | 1d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 9.2 / 10 | 5.4 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 148k/wk | 9.3M/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 24.0 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 16.3 | 13.1 |
| Maintenance / 20 | 19.9 | 19.9 |
| Adoption / 20 | 17.5 | 18.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Declared | Implemented |
| External providers | 1 — OpenAI | 4 — Amazon Bedrock, Anthropic, Google Gemini, … |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →