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deepdive-research

PyPI·Infrastructure

deepdive-research is a local-first AI research agent designed for reproducible, citation-honest research. It provides span-grounded citations, full trace and replay capabilities, and multi-format export options. The package runs on Ollama, includes an MCP server, and is distributed as an open-source Python library under the MIT license.

Open SourceMITCLIAPISelf-hosted
Visit PyPI↗

Overview

5 features

deepdive-research is an AI & ML project. It focuses on conducting reproducible AI research without reliable citations or the ability to trace and replay agent actions. deepdive-research is an open-source project aimed at AI researchers and developers. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.

OpenIntelligence Labs builds and maintains deepdive-research, and it first shipped in 2026. Development happens publicly on GitHub with 11 commits in the last 90 days. Key capabilities include Span-grounded Citations, trace and Replay, and Multi-format Export. It exposes integrations via an MCP server and a public API.

Summary written by a language model from the project’s public pages.

  • ✓Span-grounded Citations
  • ✓Trace and Replay
  • ✓Multi-format Export
  • ✓MCP Server
  • ✓Local-first Operation
Tags
ai-research-agentlocal-ollamacitation-groundingreproducible-researchmcp-server
AI capabilities
TextStructured
Inference: Local

Built with & integrations

Framework
FastAPI
AI providers
local_oss
Connectors
MCPAPI
Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jul · 00:22 UTC
    deepdive-research verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about deepdive-research

What is deepdive-research?
Deepdive-research focuses on conducting reproducible AI research without reliable citations or the ability to trace and replay agent actions. It is catalogued under AI & ML on PulseGate.
Who should use deepdive-research?
deepdive-research is an open-source project built for AI researchers and developers.
Does deepdive-research have a free plan?
Yes — deepdive-research is open source under the MIT license and free to use.
What platforms does deepdive-research run on?
deepdive-research runs on the command line and API. It can also be self-hosted.
Is deepdive-research still active?
The GitHub repository shows 11 commits in the last 90 days.
Who makes deepdive-research?
deepdive-research is developed by OpenIntelligence Labs.
When did deepdive-research launch?
deepdive-research first shipped in 2026.
Is deepdive-research open source?
Yes — deepdive-research is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
30 Jul 2026
Built for
AI researchers and developers
Model
Open source
Solves
Conducting reproducible AI research without reliable citations or the ability to trace and replay agent actions.

Registered as

GitHub
openintelligence-labs/deepdive
PyPI
deepdive-research

Developer

OpenIntelligence Labs
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
30 Jul 2026
Commits 90d
11
Contributors
1
Authorship
Solo
Default branch
main
Latest release
v0.3.2 · 30 Jul 2026

Live coverage

Identity confidence
Low · 64
Indexed
30 Jul 2026
Lifecycle
Alive
First seen
Jul 2026
Last seen
30 Jul 2026
Identity audit (13)
Slug
deepdive-research-pypi-org
Lifecycle state recorded
30 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
30 Jul 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
30 Jul 2026
Canonical URL
https://pypi.org/project/deepdive-research

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