Animus Core
Personal AI exocortex with persistent memory, multi-model cognitive layer, and MCP server.
Features
- Persistent memory — episodic, semantic, procedural (ChromaDB or SQLite)
- Multi-model cognitive layer — Ollama, Anthropic, OpenAI with streaming
- Dual-model routing — Claude brain + Ollama hands (auto-detected)
- 40+ CLI commands — memory, tasks, entities, learning, integrations
- MCP server — 9 tools for Claude Code integration
- Tool sandbox — write_roots restriction, command sandboxing
- Agent loop — constrained tool use with approval callbacks
Install
pip install animus-core
With optional providers:
pip install "animus[anthropic,openai,mcp,api]"
Usage
# Interactive CLI
python -m animus
# MCP server for Claude Code
python -m animus.mcp_server
Part of the Animus Monorepo
- Animus Forge — multi-agent orchestration
- Animus Quorum — coordination protocol
- Animus Bootstrap — system daemon
License
MIT
Metadata
Release files for animus-core 2.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| animus_core-2.3.0.tar.gz | 358.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| animus_core-2.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 569.5 kB
Release files / animus_core-2.3.0.tar.gz
| Download URL | animus_core-2.3.0.tar.gz |
|---|---|
| Size | 358.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / animus_core-2.3.0-py3-none-any.whl
| Download URL | animus_core-2.3.0-py3-none-any.whl |
|---|---|
| Size | 211.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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df4ceb437ac6ca4fe5b1177a910083fd056085a854103d482df188a7fce1930b
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 6, 2026.
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