Obsidian Second Brain vs TencentDB Agent Memory
Both are Grade C and 2.7 points apart, so choose on what you weigh most. Obsidian Second Brain leads on supply-chain integrity and maintenance; TencentDB Agent Memory leads on adoption.
Persistent memory for Claude Code, Codex and 6 other AI agents, stored as plain markdown in your Obsidian vault. New: Crew, one shared logbook so Claude Code, Codex, Cursor and Grok Bot know what each other did. 48 commands: semantic search, self-rewriting notes, key-less research, scheduled agents.
Choose Obsidian Second Brain if supply-chain integrity and maintenance matter most.
- +2.8Maintenance: last push 2d ago, against 6d ago
- +2.4Safety / Integrity: OSSF Scorecard 6.8 against 4.4
- +2.1Transparency: OSSF Scorecard 6.8 against 4.4
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
Choose TencentDB Agent Memory if adoption matters most.
- +1.9Adoption: 30.4k GitHub stars against 5.1k
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Obsidian Second Brain and TencentDB Agent Memory, two Needs review projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Obsidian Second Braineugeniughelbur/obsidian-second-brain | TencentDB Agent MemoryTencentCloud/TencentDB-Agent-Memory |
|---|---|---|
| HVTrust score | 63.9 | 61.2 |
| Evidence grade | C | C |
| Coverage grade | C | C |
| Overall rank | #554 | #660 |
| Rank in Needs review | #3 | #4 |
| GitHub stars | 5.1k | 30.4k |
| Last updated | 2d ago | 6d ago |
| Build provenance | No | No |
| OSSF Scorecard | 6.8 / 10 | 4.4 / 10 |
| License | MIT | NOASSERTION |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 11.8 | 9.4 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 14.3 | 12.2 |
| Maintenance / 20 | 19.9 | 17.1 |
| Adoption / 20 | 8.9 | 10.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 6 — Anthropic, Google Gemini, OpenAI, … | 2 — Anthropic, OpenAI |
| Requires API keys | Yes | No |
| Plugin surface | plugins | plugins |
| Provenance drift | — | — |
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 →