Comparison
eclaire vs memsearch
Verdict
Pick eclaire if eclaire is a local-first, self-hosted AI assistant designed for private data management and task automation; pick memsearch if memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Markdown twin · eclaire alternatives · memsearch alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | eclaire | memsearch |
|---|---|---|
| Maintenance | Slowing (128d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- eclaire
- Local-first self-hosted AI assistant for data and task management
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- eclaire
- 923
- memsearch
- 2.6k
Forks
- eclaire
- 95
- memsearch
- 253
Open issues
- eclaire
- 2
- memsearch
- 254
Language
- eclaire
- TypeScript
- memsearch
- Python
Adopt for
- eclaire
- Eclaire is a local-first, self-hosted AI assistant designed for private data management and task automation.
- memsearch
- memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Persona
- eclaire
- -
- memsearch
- -
Runtime
- eclaire
- -
- memsearch
- -
License
- eclaire
- Eclaire is available under the MIT License, permitting free modification and distribution while providing disclaimers on warranties.
- memsearch
- MIT
Last pushed
- eclaire
- May 14, 2026
- memsearch
- Sep 20, 2026
Categories
- eclaire
- AI Agents, Data & Retrieval
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- eclaire
- Slowing (36%)
- memsearch
- Very active (96%)
Days since push
- eclaire
- 128d
- memsearch
- 0d
Open issues (now)
- eclaire
- 2
- memsearch
- 254
Stars delta
- eclaire
- +28 (30d)
- memsearch
- +291 (30d)
Open issues delta
- eclaire
- +1 (30d)
- memsearch
- +23 (30d)
Full report
- eclaire
- Trust report
- memsearch
- Trust report
Choose eclaire if…
- eclaire is primarily TypeScript; memsearch is Python.
- Requirements: Self-hosting setup will vary depending on user's local server capabilities..
- Tags unique to eclaire: ai-assistant, document-processing, local-first, note-taking.
- When you require a privately managed environment for all your notes and documents since Eclaire stores everything locally without sending it to the cloud.
When NOT to use eclaire
- When you do not want to manage server infrastructure for running the Eclaire software since it requires self-hosting capabilities and ongoing maintenance.
- If your use case demands connectivity and synchronization across multiple devices over different networks, as Eclaire's local-first model might introduce limitations in accessibility.
Choose memsearch if…
- memsearch is primarily Python; eclaire is TypeScript.
- Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search.
- Also covers Vector Databases.
- When you need robust integration with AI agents like Claude Code or Codex
When NOT to use memsearch
- If your application doesn't require integration with specific AI agents like Claude Code
- In cases where only simple text data storage without semantic search is needed
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eclaire-labs/eclaire) · observed Sep 20, 2026
- GitHub forks (eclaire-labs/eclaire) · observed Sep 20, 2026
- Last push (eclaire-labs/eclaire) · observed May 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zilliztech/memsearch) · observed Sep 20, 2026
- GitHub forks (zilliztech/memsearch) · observed Sep 20, 2026
- Last push (zilliztech/memsearch) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: eclaire 923 · memsearch 2.6k (synced Sep 20, 2026).
Common questions
- What is the difference between eclaire and memsearch?
- eclaire: Local-first self-hosted AI assistant for data and task management. memsearch: A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories.
- When should I choose eclaire over memsearch?
- Choose eclaire over memsearch when eclaire is primarily TypeScript; memsearch is Python; Requirements: Self-hosting setup will vary depending on user's local server capabilities.; Tags unique to eclaire: ai-assistant, document-processing, local-first, note-taking; When you require a privately managed environment for all your notes and documents since Eclaire stores everything locally without sending it to the cloud.
- When should I choose memsearch over eclaire?
- Choose memsearch over eclaire when memsearch is primarily Python; eclaire is TypeScript; Tags unique to memsearch: agent-memory, long-term-memory, milvus, semantic-search; Also covers Vector Databases; When you need robust integration with AI agents like Claude Code or Codex.
- When should I avoid eclaire?
- When you do not want to manage server infrastructure for running the Eclaire software since it requires self-hosting capabilities and ongoing maintenance. If your use case demands connectivity and synchronization across multiple devices over different networks, as Eclaire's local-first model might introduce limitations in accessibility.
- When should I avoid memsearch?
- If your application doesn't require integration with specific AI agents like Claude Code In cases where only simple text data storage without semantic search is needed
- Is eclaire or memsearch more popular on GitHub?
- memsearch has more GitHub stars (2,627 vs 923). Stars measure visibility, not whether either tool fits your constraints.
- Are eclaire and memsearch open source?
- Yes - both are open-source projects on GitHub (eclaire: MIT, memsearch: MIT).
- Where can I find alternatives to eclaire or memsearch?
- GraphCanon lists graph-backed alternatives at eclaire alternatives and memsearch alternatives (eclaire 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, eclaire or memsearch?
- eclaire: 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 eclaire and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eclaire trust report; memsearch trust report.