pensyve
Active·★ 37·NOASSERTION·Updated 2026-05-28
★ Trending★ RAG / Knowledge Base★ Memory & Context
Universal memory runtime for AI agents
Pensyve is a universal memory runtime for AI agents that eliminates amnesia across sessions. It offers three memory types (episodic, semantic, procedural), 8-signal fusion retrieval, and FSRS-based forgetting curve. Framework-agnostic with SDKs for Python, TypeScript, Go, and integrations with LangChain, CrewAI, AutoGen, plus native plugins for Claude Code, Cursor, and VS Code.
#agent-memory#ai#ai-agents#ai-memory#anthropic#context-engineering#embeddings#knowledge-graph
01
Features
01Three memory types: episodic, semantic, procedural
028-signal fusion retrieval (vector, BM25, graph, intent, recency, frequency, confidence, type boost)
03FSRS forgetting curve with reinforcement for natural decay
04Offline-first with SQLite and ONNX embeddings, no cloud required
05Framework-agnostic with SDKs for Python, TypeScript, Go, and MCP
02
Compatibility
Python
Python SDK
Verified via docs
TypeScript
TypeScript SDK
Verified via docs
Go
Go SDK
Verified via docs
MCP
MCP Server
Verified via docs
CLI
CLI
Verified via docs
03
Quick start
1
$ pip install pensyve
04
Use cases
↳Persist agent knowledge across sessions and avoid repetitive questions
↳Integrate memory into any AI framework (LangChain, CrewAI, AutoGen) via adapters
↳Enable agents to learn effective strategies through procedural memory
05
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Comments
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- DDakota AndersonMay 26, 2026
Memory retrieval is fast enough for real-time agent workflows.
- SScout BrownApr 13, 2026
Good for multi-agent systems where shared memory is a requirement.
- BBlake DavisApr 7, 2026
Persistence layer designed for agents, not adapted from general storage.
- Finley LeeMar 22, 2026
Universal memory runtime that works across different AI agents and frameworks.