AgentIndex icon
AgentIndex
iai-mcp logo
iai-mcp
★ 911
vs
pensyve logo
pensyve
★ 97

iai-mcp vs pensyve

iai-mcp: IAI-MCP is a local memory layer for MCP-compatible AI assistants. It captures every conversation turn verbatim, organizes them over time, and serves relevant memories at the start of new sessions. All data is encrypted locally with AES-256-GCM and never leaves your machine.; pensyve: 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.

01

TL;DR

iai-mcp logo
iai-mcpRAG / Knowledge Base · ★ 911

Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants

Read iai-mcp full review →
pensyve logo
pensyveRAG / Knowledge Base · ★ 97

Persist agent knowledge across sessions and avoid repetitive questions

Read pensyve full review →
02

Side-by-Side Comparison

Field
iai-mcp logoiai-mcp
pensyve logopensyve
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 911
★ 97
License
MIT
NOASSERTION
Install Command
git clone https://github.com/CodeAbra/iai-mcp.git && cd iai-mcp && bash scripts/install.sh
pip install pensyve
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agents, ai-memory, claude
agent-memory, ai, ai-agents
03

Features

iai-mcp logoiai-mcp
01Ambient capture of all conversation turns with timestamps and metadata
02Automatic recall of relevant memories at session start
03Fully local, no telemetry or cloud dependency
04Encrypted at rest with AES-256-GCM
05Verbatim recall >=99% at 10k episodes
pensyve logopensyve
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
04

Use Cases

iai-mcp logoiai-mcp
↳Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants
↳Eliminate the need to repeat context across sessions
↳Personalize AI assistant behavior over time based on past interactions
pensyve logopensyve
↳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

Best For

iai-mcp logoiai-mcp
Trending
pensyve logopensyve
—
FAQ

FAQ

What is the difference between iai-mcp and pensyve?
Both iai-mcp and pensyve are in the RAG / Knowledge Base category. iai-mcp has 911 stars, while pensyve has 97 stars.
Which is better, iai-mcp or pensyve?
The best choice depends on your use case. Choose iai-mcp if Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants, and pensyve if Persist agent knowledge across sessions and avoid repetitive questions.
Is iai-mcp free or open source?
Yes, iai-mcp is open source on GitHub (MIT).
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
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