Comparison
TencentDB-Agent-Memory vs memsearch
Verdict
Pick TencentDB-Agent-Memory when tencentDB-Agent-Memory is primarily TypeScript; memsearch is Python; pick memsearch when memsearch is primarily Python; TencentDB-Agent-Memory is TypeScript.
Markdown twin · TencentDB-Agent-Memory alternatives · memsearch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TencentDB-Agent-Memory | memsearch |
|---|---|---|
| Maintenance | Active (15d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- TencentDB-Agent-Memory
- TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
- memsearch
- A persistent, unified memory layer for AI agents backed by Markdown and Milvus.
Stars
- TencentDB-Agent-Memory
- 8.4k
- memsearch
- 2.2k
Forks
- TencentDB-Agent-Memory
- 772
- memsearch
- 194
Open issues
- TencentDB-Agent-Memory
- 257
- memsearch
- 224
Language
- TencentDB-Agent-Memory
- TypeScript
- memsearch
- Python
Adopt for
- TencentDB-Agent-Memory
- -
- memsearch
- -
Persona
- TencentDB-Agent-Memory
- -
- memsearch
- -
Runtime
- TencentDB-Agent-Memory
- -
- memsearch
- -
License
- TencentDB-Agent-Memory
- Other
- memsearch
- MIT
Last pushed
- TencentDB-Agent-Memory
- Jun 26, 2026
- memsearch
- Jul 10, 2026
Categories
- TencentDB-Agent-Memory
- AI Agents, LLM Frameworks, Vector Databases
- memsearch
- AI Agents, Vector Databases
Trust and health
Maintenance
- TencentDB-Agent-Memory
- Active (82%)
- memsearch
- Very active (96%)
Days since push
- TencentDB-Agent-Memory
- 15d
- memsearch
- 1d
Open issues (now)
- TencentDB-Agent-Memory
- 257
- memsearch
- 224
Full report
- TencentDB-Agent-Memory
- Trust report
- memsearch
- Trust report
Choose TencentDB-Agent-Memory if…
- TencentDB-Agent-Memory is primarily TypeScript; memsearch is Python.
- License: TencentDB-Agent-Memory is Other, memsearch is MIT.
- Tags unique to TencentDB-Agent-Memory: ai-agent, embedding, llm, local-first.
- Also covers LLM Frameworks.
When NOT to use TencentDB-Agent-Memory
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose memsearch if…
- memsearch is primarily Python; TencentDB-Agent-Memory is TypeScript.
- License: memsearch is MIT, TencentDB-Agent-Memory is Other.
- Tags unique to memsearch: agent-memory, ai-agents, claude-code, codex.
When NOT to use memsearch
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (TencentCloud/TencentDB-Agent-Memory) · observed Jul 11, 2026
- GitHub forks (TencentCloud/TencentDB-Agent-Memory) · observed Jul 11, 2026
- Last push (TencentCloud/TencentDB-Agent-Memory) · observed Jun 26, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/memsearch) · observed Jul 11, 2026
- GitHub forks (zilliztech/memsearch) · observed Jul 11, 2026
- Last push (zilliztech/memsearch) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TencentDB-Agent-Memory 8.4k · memsearch 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between TencentDB-Agent-Memory and memsearch?
- TencentDB-Agent-Memory: TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.. memsearch: A persistent, unified memory layer for AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories.
- When should I choose TencentDB-Agent-Memory over memsearch?
- Choose TencentDB-Agent-Memory over memsearch when TencentDB-Agent-Memory is primarily TypeScript; memsearch is Python; License: TencentDB-Agent-Memory is Other, memsearch is MIT; Tags unique to TencentDB-Agent-Memory: ai-agent, embedding, llm, local-first; Also covers LLM Frameworks.
- When should I choose memsearch over TencentDB-Agent-Memory?
- Choose memsearch over TencentDB-Agent-Memory when memsearch is primarily Python; TencentDB-Agent-Memory is TypeScript; License: memsearch is MIT, TencentDB-Agent-Memory is Other; Tags unique to memsearch: agent-memory, ai-agents, claude-code, codex.
- When should I avoid TencentDB-Agent-Memory?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid memsearch?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is TencentDB-Agent-Memory or memsearch more popular on GitHub?
- TencentDB-Agent-Memory has more GitHub stars (8,404 vs 2,228). Stars measure visibility, not whether either tool fits your constraints.
- Are TencentDB-Agent-Memory and memsearch open source?
- Yes - both are open-source projects on GitHub (TencentDB-Agent-Memory: Other, memsearch: MIT).
- Where can I find alternatives to TencentDB-Agent-Memory or memsearch?
- GraphCanon lists graph-backed alternatives at TencentDB-Agent-Memory alternatives and memsearch alternatives (TencentDB-Agent-Memory markdown twin, memsearch markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, TencentDB-Agent-Memory or memsearch?
- TencentDB-Agent-Memory: Active. memsearch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for TencentDB-Agent-Memory and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TencentDB-Agent-Memory trust report; memsearch trust report.