Pensyve
Give your AI agents durable episodic, semantic, and procedural memory through Pensyve’s MCP memory runtime instead of brittle chat logs.
Overview
Pensyve is an AI & LLM Tools MCP-oriented memory runtime for the Build phase that provides episodic, semantic, and procedural memory for AI agents.
What is this MCP server?
- Universal memory runtime spanning episodic, semantic, and procedural memory types
- Positioned for AI agents that need state beyond a single conversation
- Catalog entry io.github.major7apps/pensyve at version 1.0.4
- Open-source repo at major7apps/pensyve with product site pensyve.com
- Fits custom agent stacks and long-running coding assistant workflows
- Catalog server version 1.0.4
- Three advertised memory modalities: episodic, semantic, and procedural
- Repository source: github.com/major7apps/pensyve
Community signal: 41 GitHub stars.
What problem does it solve?
Agents forget yesterday’s decisions and procedures, forcing you to re-explain stack choices and repeat debugging rituals every session.
Who is it for?
Builders creating persistent coding agents or product copilots who need structured memory beyond RAG on static docs.
Skip if: One-off script tasks with no multi-session agent, or teams that only need simple note files in the repo.
What do I get? / Deliverables
After integration, your agents can draw on structured memory layers so builds and support loops compound instead of resetting.
- Structured episodic, semantic, and procedural memory backing for agents
- Reduced re-prompting across build and operate sessions
- Foundation for user-specific continuity in grow lifecycle flows
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Journey fit
Persistent agent memory is implemented while you build agent features; it then supports iteration and user-facing continuity across sessions. Pensyve is a memory runtime—episodic, semantic, and procedural layers—squarely in agent-tooling for coding assistants and custom agents.
How it compares
Agent memory runtime, not a vector-database MCP or a single-purpose CRM connector.
Common Questions / FAQ
Who is Pensyve for?
Indie builders and small teams shipping AI agents who want episodic, semantic, and procedural memory as first-class infrastructure rather than ad hoc JSON in prompts.
When should I use Pensyve?
Use it when your agent must remember prior sessions, stable facts about the codebase or users, and repeatable procedures across days or weeks of operate and grow work.
How do I add Pensyve to my agent?
Follow the setup documented at pensyve.com and the major7apps/pensyve GitHub repository, then register the io.github.major7apps/pensyve MCP server in your agent client per that project’s transport instructions.