Singularmem：为LLM工作流打造的本地优先持久化记忆层

Singularmem is an open-source project built with Rust, SQLite, TypeScript, and Flutter, designed to provide a local-first persistent memory layer for LLM-driven workflows. It addresses the long-standing pain point of context loss in AI assistants while giving users full control over their data, avoiding privacy risks and vendor lock-in associated with cloud storage.

AI assistants often suffer from "amnesia"—losing context across sessions (e.g., forgetting past project details or preferences), limiting their potential as long-term collaborators. Existing cloud-based solutions bring privacy, security, and vendor lock-in risks. The question arises: Can we retain AI memory while letting users control their data?

Singularmem was created to solve the above issues. Its core philosophy includes three key points:

1. Local-First: Data is stored locally first, giving users full control.
2. Persistent: Stores not just dialogue history but also files, decision records, embedding vectors, and溯源 info.
3. Vendor-Neutral: Bridges to any LLM provider via stable interfaces, avoiding single-vendor binding.

Singularmem uses an Open Core model:

• Open Source Components (Apache-2.0): Memory engine, disk storage format, index system, embedding pipeline, LLM adapters, CLI, MCP server, SDK, TypeScript bindings.
• Proprietary Components: Desktop GUI (Flutter), advanced visualization, cross-device sync. A unique "constitution" governance ensures once a feature moves to open source, it never returns. SQLite is used as the storage engine, supporting dialogue history, files, decision records, embeddings, and溯源 info to build a comprehensive memory graph.

Singularmem applies to multiple scenarios:

• Developer Workflows: Acts as a long-term memory for programming assistants (remembering architecture, past solutions, code review context).
• AI Agent Collaboration: Serves as a shared memory layer for multi-agent systems to avoid duplication and info silos.
• Personal Knowledge Management: Private AI memory库 for saving important dialogues, building personal knowledge graphs, and semantic search.

Current status: Pre-v0.1 version (core features under development). The team passed v0.2.0's "constitution" on May15,2026. CLI binary can run and output version number. Installation options:

• macOS (Homebrew): brew install bromso/tap/singularmem
• Linux/macOS/Windows (script): curl --proto '=https' --tlsv1.2 -LsSf https://github.com/bromso/singularmem/releases/latest/download/singularmem-installer.sh | sh
• Precompiled binaries for Linux x86_64, macOS x86_64/ARM64, Windows x86_64.

Future directions:完善 core functions (memory engine, index system), integrate with more LLM providers/tools, expand cross-platform support, build community (contributions need signed commits, no CLA). Conclusion: Singularmem represents a new AI infrastructure idea—returning memory to users. It emphasizes local-first and open-source transparency, making it a promising project for those caring about data privacy and long-term AI collaboration. We look forward to an era where AI truly remembers and accompanies users.