AgentIndex icon
AgentIndex
pensyve logo
pensyve
★ 97
vs
rtfm logo
rtfm
★ 26

pensyve vs rtfm

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.; rtfm: RTFM is a local, open-source retrieval layer that indexes everything in a project (code, docs, PDFs, etc.) so that AI agents can find the right context instantly without hallucinations or cloud costs. It integrates with Claude Code and other MCP clients, supports multiple formats, and provides fast search with progressive disclosure.

01

TL;DR

pensyve logo
pensyveRAG / Knowledge Base · ★ 97

Persist agent knowledge across sessions and avoid repetitive questions

Read pensyve full review →
rtfm logo
rtfmRAG / Knowledge Base · ★ 26

Legal and regulatory document retrieval with support for specialized formats

Read rtfm full review →
02

Side-by-Side Comparison

Field
pensyve logopensyve
rtfm logortfm
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 97
★ 26
License
NOASSERTION
MIT
Install Command
pip install pensyve
pip install rtfm-ai && cd your-project && rtfm init
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai, ai-agents
ai-agents, claude, claude-code
03

Features

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
rtfm logortfm
01Full-text, semantic, and hybrid search with progressive disclosure
02Multi-format indexing with 22 built-in parsers (code, docs, PDFs, etc.)
03Local, free, and open-source (MIT license)
04Knowledge graph with wikilinks and import edges, plus version history
05Seamless MCP integration (native Claude Code plugin and manual install)
04

Use Cases

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
rtfm logortfm
↳Legal and regulatory document retrieval with support for specialized formats
↳Research projects combining code, papers, and datasets
↳Any project mixing code with domain-specific documents (FinTech, HealthTech, etc.)
FAQ

FAQ

What is the difference between pensyve and rtfm?
Both pensyve and rtfm are in the RAG / Knowledge Base category. pensyve has 97 stars, while rtfm has 26 stars.
Which is better, pensyve or rtfm?
The best choice depends on your use case. Choose pensyve if Persist agent knowledge across sessions and avoid repetitive questions, and rtfm if Legal and regulatory document retrieval with support for specialized formats.
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
Is rtfm free or open source?
Yes, rtfm is open source on GitHub (MIT).
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Related

Alternatives to pensyve →Alternatives to rtfm →pensyve details →rtfm details →