Comparison
deep-searcher vs memsearch
Verdict
Pick deep-searcher when license: deep-searcher is Apache-2.0, memsearch is MIT; pick memsearch when license: memsearch is MIT, deep-searcher is Apache-2.0.
Markdown twin · deep-searcher alternatives · memsearch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deep-searcher | memsearch |
|---|---|---|
| Maintenance | Slowing (234d since push) As of 1d · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
- memsearch
- A persistent, unified memory layer for AI agents backed by Markdown and Milvus.
Stars
- deep-searcher
- 7.9k
- memsearch
- 2.2k
Forks
- deep-searcher
- 768
- memsearch
- 194
Open issues
- deep-searcher
- 53
- memsearch
- 224
Language
- deep-searcher
- Python
- memsearch
- Python
Adopt for
- deep-searcher
- -
- memsearch
- -
Persona
- deep-searcher
- -
- memsearch
- -
Runtime
- deep-searcher
- -
- memsearch
- -
License
- deep-searcher
- Apache-2.0
- memsearch
- MIT
Last pushed
- deep-searcher
- Nov 19, 2025
- memsearch
- Jul 10, 2026
Categories
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
- memsearch
- AI Agents, Vector Databases
Trust and health
Maintenance
- deep-searcher
- Slowing (36%)
- memsearch
- Very active (96%)
Days since push
- deep-searcher
- 234d
- memsearch
- 1d
Open issues (now)
- deep-searcher
- 53
- memsearch
- 224
Full report
- deep-searcher
- Trust report
- memsearch
- Trust report
Choose deep-searcher if…
- License: deep-searcher is Apache-2.0, memsearch is MIT.
- Tags unique to deep-searcher: agentic-rag, claude, deep-research, deepseek.
- Also covers LLM Frameworks.
- deep-searcher ships Docker support for self-hosted deployment.
- - When you need an open-source alternative for reasoning and searching on private data, avoiding closed systems like Claude or Grok.
When NOT to use deep-searcher
- - If you need a tool that supports web crawling out-of-the-box, as DeepSearcher currently lacks this feature, although it is on their future plans.
- - When your project prioritizes using specific vector databases other than Milvus; while there are future plans to support more, these are not yet implemented.
- - For rapid setup without additional configuration or dependency management; DeepSearcher requires detailed setup and optional dependencies for full functionality.
Choose memsearch if…
- License: memsearch is MIT, deep-searcher is Apache-2.0.
- Tags unique to memsearch: agent-memory, ai-agents, claude-code, codex.
- More recently updated (last pushed Jul 10, 2026).
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 (zilliztech/deep-searcher) · observed Jul 11, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Jul 11, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 10, 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: deep-searcher 7.9k · memsearch 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between deep-searcher and memsearch?
- deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.. 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 deep-searcher over memsearch?
- Choose deep-searcher over memsearch when License: deep-searcher is Apache-2.0, memsearch is MIT; Tags unique to deep-searcher: agentic-rag, claude, deep-research, deepseek; Also covers LLM Frameworks; deep-searcher ships Docker support for self-hosted deployment; - When you need an open-source alternative for reasoning and searching on private data, avoiding closed systems like Claude or Grok.
- When should I choose memsearch over deep-searcher?
- Choose memsearch over deep-searcher when License: memsearch is MIT, deep-searcher is Apache-2.0; Tags unique to memsearch: agent-memory, ai-agents, claude-code, codex; More recently updated (last pushed Jul 10, 2026).
- When should I avoid deep-searcher?
- - If you need a tool that supports web crawling out-of-the-box, as DeepSearcher currently lacks this feature, although it is on their future plans. - When your project prioritizes using specific vector databases other than Milvus; while there are future plans to support more, these are not yet implemented. - For rapid setup without additional configuration or dependency management; DeepSearcher requires detailed setup and optional dependencies for full functionality.
- 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 deep-searcher or memsearch more popular on GitHub?
- deep-searcher has more GitHub stars (7,941 vs 2,228). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-searcher and memsearch open source?
- Yes - both are open-source projects on GitHub (deep-searcher: Apache-2.0, memsearch: MIT).
- Where can I find alternatives to deep-searcher or memsearch?
- GraphCanon lists graph-backed alternatives at deep-searcher alternatives and memsearch alternatives (deep-searcher 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, deep-searcher or memsearch?
- deep-searcher: Slowing. 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 deep-searcher and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-searcher trust report; memsearch trust report.