agent-library

★ 33

prism-mcp

★ 156

agent-library vs prism-mcp

Q: Which is better, agent-library or prism-mcp?

By GitHub stars, prism-mcp has more community adoption, but the best choice depends on your specific use case.

agent-library: Agent Library provides AI agents with persistent storage for text, documents, and knowledge using SQLite with vector search (sqlite-vec) and full-text search (FTS5). It supports hybrid search combining semantic and keyword matching, configurable embedding models, and offers both CLI and MCP server interfaces for integration.; prism-mcp: Prism MCP is a persistent memory server for AI agents, solving the problem of agents forgetting everything between sessions. It offers zero-config setup, time travel for memory versions, behavioral learning, multi-agent hivemind, and a visual dashboard — all with no cloud dependencies.

TL;DR

agent-libraryVision / Multimodal · ★ 33

Storing and retrieving agent memories across conversations

Read agent-library full review →

prism-mcpVision / Multimodal · ★ 156

Long-running feature work: save end-of-day state, restore full context next morning

Read prism-mcp full review →

Side-by-Side Comparison

Field

agent-library

prism-mcp

Features

agent-library

01Persistent knowledge storage for AI agents

02SQLite with sqlite-vec for vector search

03Full-text search using FTS5 with BM25 ranking

04Hybrid search combining semantic and keyword matching

05Configurable embedding models (local or OpenAI-compatible API)

prism-mcp

01Zero-config persistent memory with a single npx command

02Time Travel with versioned snapshots and checkout

03Behavioral memory with importance tracking, decay, and mistake learning

04Multi-agent Hivemind with role-isolated memory and real-time Telepathy sync

05Visual Mind Palace Dashboard with knowledge graph, session ledger, and morning briefings

Use Cases

agent-library

↳Storing and retrieving agent memories across conversations

↳Searching documents, code, and PDFs with semantic understanding

↳Building context-aware AI assistants with persistent knowledge

prism-mcp

↳Long-running feature work: save end-of-day state, restore full context next morning

↳Multi-agent collaboration: dev, QA, and PM agents share real-time context seamlessly

↳Consulting / multi-project: switch between client projects with progressive context loading

FAQ

What is the difference between agent-library and prism-mcp?

Both agent-library and prism-mcp are in the Vision / Multimodal category. agent-library has 33 stars, while prism-mcp has 156 stars.

Which is better, agent-library or prism-mcp?

The best choice depends on your use case. Choose agent-library if Storing and retrieving agent memories across conversations, and prism-mcp if Long-running feature work: save end-of-day state, restore full context next morning.

Is agent-library free or open source?

Yes, agent-library is open source on GitHub (Apache-2.0).

Is prism-mcp free or open source?

Yes, prism-mcp is open source on GitHub (MIT).

Cloud Infrastructure

Deploy on DigitalOcean

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Alternatives to agent-library →Alternatives to prism-mcp →agent-library details →prism-mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

Deploy on DigitalOcean

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