docs: add hierarchical AGENTS.md knowledge base
- Update root AGENTS.md with regenerative content (144 lines, telegraphic) - Add pkgs/AGENTS.md for package registry conventions (33 lines) - Add docs/AGENTS.md for documentation structure (34 lines) - All files follow telegraphic style, no redundancy with parent - Preserves existing modules/home-manager/AGENTS.md Hierarchy: ./AGENTS.md (root) ├── pkgs/AGENTS.md ├── docs/AGENTS.md └── modules/home-manager/AGENTS.md (existing)
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99
pkgs/mem0/default.nix
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99
pkgs/mem0/default.nix
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{
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lib,
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python3,
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fetchFromGitHub,
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}:
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python3.pkgs.buildPythonPackage rec {
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pname = "mem0ai";
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version = "1.0.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "mem0ai";
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repo = "mem0";
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rev = "v${version}";
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hash = "sha256-DluzIhwL/GanqtRSMW7ax+OVc2kZjbwQ0lpPCQFnD58=";
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};
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# Relax Python dependency version constraints
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# mem0 has strict version pins that may not match nixpkgs versions
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pythonRelaxDeps = true;
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build-system = with python3.pkgs; [
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hatchling
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];
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dependencies = with python3.pkgs; [
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litellm
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qdrant-client
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pydantic
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openai
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posthog
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pytz
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sqlalchemy
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protobuf
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uvicorn
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fastapi
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];
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optional-dependencies = with python3.pkgs; {
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graph = [
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# Note: some graph dependencies may not be available in nixpkgs
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# neo4j is available, others will need to be packaged separately
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];
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vector_stores = [
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# chromadb # available in nixpkgs
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# pinecone-client # may need packaging
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# weaviate-client # may need packaging
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# faiss # available as faiss-cpu
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psycopg
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pymongo
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pymysql
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redis
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elasticsearch
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];
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llms = [
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groq
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openai
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# together # may need packaging
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# litellm # may need packaging
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# ollama # may need packaging
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# google-generativeai # may need packaging
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];
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extras = [
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boto3
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# langchain-community # may need packaging
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# sentence-transformers # may need packaging
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elasticsearch
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# fastembed # may need packaging
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];
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};
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# Skip tests for now since they require additional test dependencies
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doCheck = false;
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# Disable imports check because mem0 tries to create directories at import time
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# which fails in the Nix sandbox (/homeless-shelter)
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pythonImportsCheck = [];
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postInstall = ''
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install -Dm755 ${./server.py} $out/bin/mem0-server
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'';
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meta = with lib; {
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description = "Long-term memory layer for AI agents with REST API support";
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longDescription = ''
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Mem0 provides a sophisticated memory layer for AI applications, offering:
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- Memory management for AI agents (add, search, update, delete)
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- REST API server for easy integration
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- Support for multiple vector storage backends (Qdrant, Chroma, etc.)
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- Graph memory capabilities
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- Multi-modal support
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- Configurable LLM and embedding models
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'';
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homepage = "https://github.com/mem0ai/mem0";
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changelog = "https://github.com/mem0ai/mem0/releases/tag/v${version}";
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license = licenses.asl20;
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platforms = platforms.linux;
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};
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}
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