AgentIndex icon
AgentIndex
magic-context logo
magic-context
★ 2.4k
vs
pensyve logo
pensyve
★ 97

magic-context vs pensyve

magic-context: Magic Context is a context and memory plugin for coding agent harnesses (OpenCode, Pi and OMP) that compresses history in the background, lifts decisions and conventions into project memory and recalls them each turn. It replaces the host's built-in compaction so one session per project can run for weeks without pauses.; 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

magic-context logo
magic-contextMemory & Context · ★ 2.4k

Keep one coding-agent session per project running for weeks

Read magic-context 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
magic-context logomagic-context
pensyve logopensyve
Category
Memory & Context
RAG / Knowledge Base
Stars
★ 2.4k
★ 97
License
MIT
NOASSERTION
Install Command
npx @cortexkit/magic-context@latest setup
pip install pensyve
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-framework, agent-memory, ai
agent-memory, ai, ai-agents
03

Features

magic-context logomagic-context
01Background history compression that lifts durable knowledge into project memory
02Overnight dreamer agents verify, deduplicate and curate memories
03Automatic recall each turn plus search across memories, past conversations and git history
04Setup wizard that configures OpenCode, Pi or OMP and disables built-in compaction
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

magic-context logomagic-context
↳Keep one coding-agent session per project running for weeks
↳Avoid compaction pauses that drop context mid-task
↳Give an agent memory of past decisions and project conventions
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

magic-context logomagic-context
EssentialTrending
pensyve logopensyve
—
FAQ

FAQ

What is the difference between magic-context and pensyve?
Both magic-context and pensyve are in the Memory & Context category. magic-context has 2.4k stars, while pensyve has 97 stars.
Which is better, magic-context or pensyve?
The best choice depends on your use case. Choose magic-context if Keep one coding-agent session per project running for weeks, and pensyve if Persist agent knowledge across sessions and avoid repetitive questions.
Is magic-context free or open source?
Yes, magic-context is open source on GitHub (MIT).
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
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