deep-searcher
Open Source Deep Research Alternative to Reason and Search on Private Data.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Good fit when
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- If your project needs rapid development support through an installation method via UV, enhancing dependency management.
Avoid when
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (272d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Zilliz. Display-only - separate from trust and ranking.
- Company
- Zilliz·GitHub org profile·Jul 11, 2026
- Funding
- $60,000,000 (2022-08)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
pip install deep-searcherHow it fits your stack(23)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An AI tool for reasoning and searching on private data, leveraging multiple vector databases and LLM integrations.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 18, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 18, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
Create and activate a virtual environment(Python 3.10 version is recommended).Source link
Tags
README
Installation Install DeepSearcher using one of the following methods: Option 1: Using pip Create and activate a virtual environment(Python 3.10 version is recommended). Install DeepSearcher For optional dependencies, e.g., ollama: Option 2: Install in Development Mode We recommen...
For agents
This page has a .md twin and JSON over the API.