Mem0
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Is Mem0 safe? Strong public trust posture, backed by multiple independent signals.
Compare Mem0
How does it stack up against its Memory & Knowledge neighbours?
Pick any agent to compare →In detail: Mem0 scores 86.1/100 (Grade A), ranked #73 of 1371 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 5.5/10; 100% of recent commits are signed; no published advisory affects its latest release (mem0ai); last pushed 2026-10-09. Every point is earned from checkable signals — never paid placement. How scoring works →
How Mem0 could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 5.5 to 9.0lowest checks: CII-Best-Practices 0, Dependency-Update-Tool 0, Fuzzing 0 +5.9 → 92.0 A · #1 of 49
Chain of custody
Scanners check what the code says. This traces who ships Mem0 and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Signed
github.com/mem0ai/mem0, Apache-2.0, last pushed 2026-10-09. 100% of the last 100 commits carry a verified signature, so changes trace to a verified account.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 5.5/10 (scanned Oct 8, 2026). The checks that decide who can get a change released:
- Code Review10
- Branch Protection5
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies0
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 5CI-Tests 10CII-Best-Practices 0Code-Review 10Contributors 10Dangerous-Workflow 10Dependency-Update-Tool 0Fuzzing 0License 10Maintained 10Packaging 10Pinned-Dependencies 0SAST 0Security-Policy 10Signed-Releases -1Token-Permissions 0Vulnerabilities 0 -
What you install today No known advisories
Latest release checked: mem0ai 3.3.1. No published advisory affects it (OSV, checked 2026-10-09).
Changes to this chain
No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of Mem0.
Evidence behind this score
Coverage A: 4 of 5 independent evidence types found.
- GitHub repository data
- Package downloads
- Supply-chain checks
- Public actions (missing)
- Community mentions
Verify this score yourself
Every build re-issues Mem0’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How Mem0 compares in Memory & Knowledge
- #3 LanceDB 87.8 +1.7
- #4 Graphiti 87.2 +1.1
- #5 Mem0 86.1 this agent
- #6 Hindsight 85.9 −0.2
- #7 Cognee 85.8 −0.3
Bars show each HVTrust score; the tick marks Mem0’s 86.1.
Where the 86.1 comes from
HVTrust dimensions vs the Memory & Knowledge average
86.1 / 100 · 100.0% confidenceMem0 Memory & Knowledge average (49 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
93.1 / 100Common questions about Mem0
Does Mem0 publish package provenance?
Does Mem0 have an OpenSSF Scorecard?
Is Mem0 actively maintained?
What license does Mem0 use?
Are Mem0's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
Compare Mem0 head-to-head
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- Amazon Bedrock
- Anthropic
- Cohere
- Google Gemini
- Groq
- Mistral AI
- Multi-provider (LiteLLM)
- OpenAI
- Pinecone
- Postgres
- Qdrant
- Redis
- Supabase
- Weaviate
- database
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Mem0's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Mem0?
For maintainers
HVTrust scores Mem0 from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/mem0)
<a href="https://hvtracker.net/agents/mem0"><img src="https://hvtracker.net/badge/mem0.svg" alt="HVTrust"></a>
Other agents in Memory & Knowledge
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON