Back to packageRELEASE DETAILS

0.0.1

PyPI

agsuperbrain

Super-Brain: Your codebase's working memory. Local graph + vector intelligence for AI coding assistants.

Published26 Apr 2026

Direct dependencies26

Transitive dependenciesNot calculated

README

Version 0.0.1 documentation

Super-Brain

Your codebase's working memory — local, fast, permanent.

Super-Brain gives your AI coding assistant a persistent, structured understanding of your code. Instead of re-reading files every turn, your assistant queries a local knowledge graph and gets back the exact functions, call paths, and semantics it needs.

100% local. 14 IDEs supported. Zero code uploaded.

The 30-second pitch

AI coding assistants have a context problem. Every session starts from zero. Every question re-reads the same files. Every long task burns tokens on exploration instead of answers.

Super-Brain fixes that. It ingests your code once, builds a call graph and vector index, and exposes it to your assistant via MCP. From then on:

"What calls processPayment?" → one graph query, millisecond response
"Explain the auth flow" → retrieve the actual path from HTTP handler to session store
"Where's this class used?" → transitive closure, not grep
"Summarize this module" → pre-clustered subsystems, already grouped

No cloud. No re-ingestion per session. No fabricated call relationships.

Why Super-Brain

Pain point	Claude Code / Codex / Cursor / Copilot alone	With Super-Brain
Session amnesia	Starts from zero every session	Graph persists on disk
Re-reading files	Every turn	One ingest, then queries
Exploration cost	Scales with codebase	Flat, query-shaped
Call graph	Grep-and-hope	Deterministic, AST-derived
Path reasoning	Chains of reads	`path_between` one-hop
Privacy	Code uploads to vendor	Nothing leaves your machine
Cross-repo	One project at a time	Unlimited repos, one graph
Docs & audio	Invisible	First-class via `ingest-doc` / `ingest-audio`
Hallucinated dependencies	Possible under load	Zero — AST is ground truth
Language coverage	Top ~20	306 via tree-sitter

See the full comparison for 12 detailed pain points.

Install

pip install agsuperbrain

Or with uv:

uv add agsuperbrain

Before you install

Python 3.11, 3.12, or 3.13 — Python 3.14 is not yet supported (native-extension deps don't ship wheels for 3.14).
Windows only — install Visual Studio Build Tools 2022 with the "Desktop development with C++" workload. Several deps compile native code and need a C/C++ toolchain. WSL2 users can skip this.
FFmpeg — required only if you plan to ingest audio/video. Skip it for code-only use.

Full prerequisites and troubleshooting: Installation guide.

Quick start

agsuperbrain init                     # configures + auto-ingests + indexes
agsuperbrain claude-install           # or: cursor-install, aider-install, etc.

The first command sets up config, auto-detects your source directory, builds the graph, embeds it for semantic search, and starts the background watcher — all in one pass. The second wires Super-Brain into your AI coding tool.

That's it. Your assistant now has permanent, structured access to your codebase.

Works with 14 AI coding tools

One install command per platform:

Tool	Command
Claude Code	`agsuperbrain claude-install`
Cursor	`agsuperbrain cursor-install`
Aider	`agsuperbrain aider-install`
Codex	`agsuperbrain codex-install`
OpenCode	`agsuperbrain opencode-install`
GitHub Copilot CLI	`agsuperbrain copilot-install`
VS Code Copilot Chat	`agsuperbrain vscode-install`
Gemini CLI	`agsuperbrain gemini-install`
Hermes	`agsuperbrain hermes-install`
Kiro	`agsuperbrain kiro-install`
Google Antigravity	`agsuperbrain antigravity-install`
OpenClaw	`agsuperbrain openclaw-install`
Factory Droid	`agsuperbrain droid-install`
Trae / Trae CN	`agsuperbrain trae-install`

All at once: agsuperbrain install --platform all.

Also works with any MCP-speaking agent framework (LangChain, LangGraph, AutoGen, CrewAI, SmolAgents).

What it gives you

306 language support — Python, JS/TS, Go, Rust, Java, C/C++, Ruby, PHP, Kotlin, Swift, Scala, and 296 more via tree-sitter
Deterministic extraction — call graph comes from AST, not LLM inference
Hybrid retrieval — vector search for semantics + graph expansion for structure
Local LLM (optional) — bundled Llama-3.2-1B for free, offline answers
Interactive visualization — Cytoscape.js graph, click to navigate
File watcher — code changes re-indexed automatically
Community detection — Leiden clustering surfaces subsystems
Multimodal — ingest PDFs, DOCX, MD, audio, and video into the same graph

Privacy by default

Every byte Super-Brain touches stays on your machine:

Graph database: local KùzuDB file
Vector store: local Qdrant directory
Embeddings: local sentence-transformers
LLM (optional): local llama.cpp
Transcription: local faster-whisper

No accounts. No telemetry. No network required.

Configuration

Create or edit .agsuperbrain/config.yaml:

exclude:
  - .venv
  - node_modules

watcher:
  debounce_ms: 500

graph:
  db_path: ./.agsuperbrain/graph

vector:
  db_path: ./.agsuperbrain/qdrant

Super-Brain also honors .gitignore and the Super-Brain-specific .agsuperbrainignore.

Requirements

Python 3.11, 3.12, or 3.13 (3.14 not yet supported — native-extension wheels unavailable)
Windows only: Visual Studio Build Tools 2022 with "Desktop development with C++" workload
~500 MB disk (5 GB with embedding-model cache, 8 GB with local LLM)
FFmpeg (only if you ingest audio/video)

Documentation

License

Apache License 2.0 — see LICENSE.

Contributing

Contributions welcome. Open an issue first for anything non-trivial so we can align on approach.

Star history

Built by MEDHIRA — engineering intelligence across everything.

Downloads & popularity

Awaiting observations

No metric observations yet

Download counts and popularity will appear here as the collector receives them.

Declared dependencies 26

Native requirements

26 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
faster-whisper Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`faster-whisper>=1.2.1`	runtime
graspologic Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`graspologic>=3.4.4`	runtime
kuzu Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`kuzu>=0.11.3`	runtime
llama-cpp-python Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`llama-cpp-python>=0.3.20`	runtime
markitdown Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`markitdown>=0.1.5`	runtime
networkx Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`networkx>=3.6.1`	runtime
pydantic Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pydantic>=2.13.3`	runtime
pyvis Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pyvis>=0.3.2`	runtime
pyyaml Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pyyaml>=6.0.3`	runtime
qdrant-client Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`qdrant-client>=1.17.1`	runtime
rich Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`rich>=15.0.0`	runtime
sentence-transformers Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`sentence-transformers>=5.4.1`	runtime
tree-sitter-language-pack Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`tree-sitter-language-pack==1.6.0`	runtime
tree-sitter Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`tree-sitter>=0.25.2`	runtime
typer Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`typer>=0.24.2`	runtime
watchfiles Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`watchfiles>=1.1.1`	runtime
yt-dlp Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`yt-dlp>=2026.3.17`	runtime
commitizen Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`commitizen>=4.13.0; extra == "dev"`	runtime
iprogress Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`iprogress>=0.4; extra == "dev"`	runtime
ipykernel Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`ipykernel>=7.2.0; extra == "dev"`	runtime
pre-commit Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pre-commit>=4.5.0; extra == "dev"`	runtime
pyrefly Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pyrefly>=0.60.0; extra == "dev"`	runtime
ruff Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`ruff>=0.15.0; extra == "dev"`	runtime
mkdocs-material Environment { "extras": "", "marker": "extra == \"docs\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`mkdocs-material>=9.7.0; extra == "docs"`	runtime
mkdocs Environment { "extras": "", "marker": "extra == \"docs\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`mkdocs>=1.6.0; extra == "docs"`	runtime
pymdown-extensions Environment { "extras": "", "marker": "extra == \"docs\"", "requires_python": "<3.13,>=3.12", "evaluation": "NOT_EVALUATED" }	`pymdown-extensions>=10.0; extra == "docs"`	runtime

Distribution files

2 collected

agsuperbrain-0.0.1-py3-none-any.whl

bdist_wheel · 109.09 KB · Python py3

Source file

agsuperbrain-0.0.1.tar.gz

sdist · 735.34 KB · Python source

Source file

Metadata history

Meaningful changes

Current collected state Current

Observed since 21 Oct, 09:30 UTC

No superseded metadata states collected. Unchanged observations do not create new revisions.

Record identity

package_version:d0220a29f15bb5fb3080309bebbd76c92cb34c88a9ee396e066f5dde7bdb8aea

Package details

Ecosystem: PyPI
Registry license: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Collected versions: 1
Source: PyPI

PACKAGE URL

pkg:pypi/agsuperbrain@0.0.1

Project links

Registry

Source & dates

Release published: 26 Apr 2026
Source modified: Unknown
First observed: 21 Oct 2026
Last observed: 21 Oct, 09:30 UTC

Publication, source changes and collection are separate events.

Other collected versions

View all collected versions →