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About Living Brain
Living Brain provides a persistent and self-learning memory layer that connects to over 60 AI platforms via API, SDK, CLI, and MCP. It stores accumulated knowledge, corrections, and decisions outside the model and retrieves relevant context on demand, reducing token usage and cost. The system compiles scattered conversations, files, and updates into structured, source-linked knowledge, enabling agents to work from accumulated context without rebuilding it repeatedly. It supports post-training workflows by curating knowledge into training examples and evaluation datasets for fine-tuning. Living Brain is designed for teams and organizations that need persistent, shared memory across AI tools, agents, and workflows. It offers fast retrieval with a median memory recall time of 464 milliseconds and supports temporal reasoning, hallucination-free responses, and cost reductions of up to 95% compared to full-context baselines.
Key features
- Persistent memory storage for AI agents
- API, SDK, CLI, and MCP connectivity
- Structured knowledge compilation from conversations and files
- Post-training support via curated knowledge datasets
- Temporal reasoning capabilities
- Hallucination-free responses
- Cost-efficient token usage
- Team collaboration features in Workspace plan
Use cases
- Building persistent AI agents that remember and act
- Reducing context costs in large-scale AI deployments
- Supporting post-training workflows with curated knowledge
Pros
- Persistent and self-learning memory layer
- Compatible with 60+ AI platforms via API, SDK, CLI, and MCP
- Reduces token usage by up to 22.6X and lowers costs by 95%
- Supports post-training workflows for model adaptation
- Fast retrieval with 464 ms median memory recall
Cons
- No free tier available
- Requires integration with supported AI platforms
- Business plan pricing is custom and not publicly listed
Frequently asked questions about Living Brain
What is Living Brain and what does it do?
Living Brain is a persistent and self-learning memory layer that connects to over 60 AI platforms via API, SDK, CLI, and MCP. It stores accumulated knowledge, corrections, and decisions outside the model and retrieves relevant context on demand to reduce token usage and cost.
Who should use Living Brain?
Living Brain is designed for teams and organizations that need persistent, shared memory across AI tools, agents, and workflows. It suits users who want to avoid repeatedly rebuilding context and reduce costs associated with large token usage.
Can I connect Living Brain to my existing AI tools and agents?
Yes. Living Brain can be connected to supported tools and agents, enabling users to work from accumulated knowledge without repeatedly rebuilding context. It supports custom MCPs to link your own tools and data.
How does Living Brain reduce token usage and cost?
Living Brain stores knowledge outside the model and retrieves only the relevant context for each task. This reduces the need to send entire conversation histories or document collections to the model, lowering token usage and associated costs.
Does Living Brain support post-training workflows?
Yes. Living Brain supports two paths to AI adaptation: retaining knowledge and corrections for inference-time adaptation, and curating accumulated knowledge into training examples and evaluation datasets for fine-tuning or other post-training workflows.
How fast is Living Brain at retrieving memory and answering questions?
Living Brain achieves a median memory recall time of 464 milliseconds and a median total answer time of 3.7 seconds in internal evaluations. These metrics include search, page retrieval, and LLM generation.
