Waggle-mcp logo
Waggle-mcp
★ 44
vs
letta logo
letta
★ 25.2k

Waggle-mcp vs letta

Waggle-mcp: Waggle-mcp provides AI agents with a persistent, graph-backed memory that remembers decisions, reasons, and contradictions across sessions, overcoming the limitations of short context windows. It acts as a local-first memory layer for MCP-compatible AI clients, allowing for rich, structured context retrieval instead of simple text snippets.; letta: Letta is a powerful platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time. It provides both a command-line interface for local agent execution and a comprehensive API with Python and TypeScript SDKs for seamless integration into applications.

01

TL;DR

Waggle-mcp logo
Waggle-mcpMemory & Context · ★ 44

Maintaining long-term conversational memory for AI coding assistants across development sessions.

letta logo
lettaMemory & Context · ★ 25.2k
When to choose:
  • You want a long-lived agent that remembers past work and rewrites its own memory and context over time.
  • You want one agent reachable from CLI, desktop, browser, mobile and messaging apps, with subagents, schedules and hooks.
  • You want memory you can inspect: the README says context is tracked in git and can sync to your own repository.
When to skip:
  • You only need to add memory to an agent you already use through MCP; a small MCP memory server is a lighter fit.
  • You rely on older Letta tutorials or the V1 API server: the project restructured, and the V1 server is retired.
  • You want everything to work without signing in: Letta Cloud is the default backend and some features need it.
02

Side-by-Side Comparison

Field
Waggle-mcp logoWaggle-mcp
letta logoletta
Category
Memory & Context
Memory & Context
Stars
★ 44
★ 25.2k
License
Apache-2.0
Apache-2.0
Install Command
pipx install waggle-mcp && waggle-mcp setup --yes
npm install -g @letta-ai/letta-code
Updated
1w ago
5d ago
Open Source
Yes
Yes
Tags
Persistent Memory, Knowledge Graph, AI Agent Memory
Stateful AI, Agent Platform, Advanced Memory
03

Features

Waggle-mcp logoWaggle-mcp
01Persistent graph memory with SQLite backend by default, with optional Neo4j support.
02Integrates as an MCP server with automatic memory hooks for various AI clients like Claude, Cursor, and Gemini CLI.
03Recursive context assembly to provide compact, high-signal context packs, optimizing token usage.
04Stores relationships between facts, decisions, and contradictions, enabling temporal queries, diffs, and conflict resolution.
05Local embeddings with a deterministic offline fallback, ensuring privacy and local operation.
letta logoletta
01Build stateful AI agents with advanced memory
02Agents capable of learning and self-improvement over time
03CLI tool for running agents locally in your terminal
04Comprehensive API for integrating agents into applications
05Support for skills and subagents; fully model-agnostic
04

Use Cases

Waggle-mcp logoWaggle-mcp
↳Maintaining long-term conversational memory for AI coding assistants across development sessions.
↳Retrieving past decisions, constraints, and preferences to inform current AI agent actions.
↳Tracking changes and resolving contradictions in evolving project requirements or design choices.
↳Exporting and sharing AI agent memory snapshots for collaboration or migration between machines/sessions.
↳Debugging AI agent reasoning and understanding context by inspecting the underlying knowledge graph via Graph Studio.
letta logoletta
↳Running AI agents locally in your terminal for coding and general tasks.
↳Integrating stateful AI agents into custom applications using the API and SDKs.
↳Developing self-improving AI systems that adapt and learn continually.
05

Best For

Waggle-mcp logoWaggle-mcp
—
letta logoletta
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between Waggle-mcp and letta?
Both Waggle-mcp and letta are in the Memory & Context category. Waggle-mcp has 44 stars, while letta has 25.2k stars.
Which is better, Waggle-mcp or letta?
The best choice depends on your use case. Choose Waggle-mcp if Maintaining long-term conversational memory for AI coding assistants across development sessions., and letta if Running AI agents locally in your terminal for coding and general tasks..
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
Is letta free or open source?
Yes, letta is open source on GitHub (Apache-2.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related