agentmemory vs Cognee
Both are Grade A and 2.9 points apart, so choose on what you weigh most. agentmemory leads on supply-chain integrity; Cognee leads on adoption.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Choose agentmemory if supply-chain integrity matters most.
- +1.4Safety / Integrity: 89% of recent commits signed, against 59%
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Choose Cognee if adoption matters most.
- +0.9Adoption: 24.3k weekly downloads against 6.7k
Where they differ
3 dimensions identical: Identity 18.0 · Transparency 14.4 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of agentmemory and Cognee, two Memory & Knowledge projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | agentmemoryrohitg00/agentmemory | Cogneetopoteretes/cognee |
|---|---|---|
| HVTrust score | 88.9 | 86.0 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #43 | #82 |
| Rank in Memory & Knowledge | #1 | #8 |
| GitHub stars | 30.0k | 32.8k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.9 / 10 | 7.0 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 7k/wk | 24k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.6 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.4 | 14.4 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 15.8 | 16.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 5 — Anthropic, Google Gemini, OpenAI, … | 9 — Amazon Bedrock, Anthropic, Groq, … |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | extensions |
| 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 →