AgentIndex icon
AgentIndex
Waggle-mcp logo
Waggle-mcp
★ 44
vs
kaeru logo
kaeru
★ 40

Waggle-mcp vs kaeru

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.; kaeru: Kaeru is a local-first, cross-agent cognitive engine for LLM agents, providing a typed property graph and a recollection layer for long-term memory. It enables multi-session and multi-agent continuity, allowing agents to maintain full context, follow provenance, and build on shared knowledge over time.

01

TL;DR

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

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

Read Waggle-mcp full review →
kaeru logo
kaeruMemory & Context · ★ 40

An agent needs to recall its thought process and project context from a previous session.

Read kaeru full review →
02

Side-by-Side Comparison

Field
Waggle-mcp logoWaggle-mcp
kaeru logokaeru
Category
Memory & Context
Memory & Context
Stars
★ 44
★ 40
License
Apache-2.0
MIT
Install Command
pipx install waggle-mcp && waggle-mcp setup --yes
git clone https://github.com/kaerulabs/kaeru.git && cd kaeru && cargo build --release
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Persistent Memory, Knowledge Graph, AI Agent Memory
LLM Agents, Knowledge Graph, Bi-temporal Database
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.
kaeru logokaeru
01Two-tier graph (operational/hippocampus and archival/cortex) for active thinking and settled knowledge.
02Bi-temporal nature with native assertion/retraction history for time-travel queries and non-destructive conflict resolution.
03Per-initiative scoping and layered re-entry to restore project context across sessions and access archival knowledge on demand.
04Optional cross-agent sharing through a cloud tier, allowing trusted teams to share settled knowledge with safety gates.
05Structural recall based on exact name lookup, typed graph traversal, and FTS fuzzy fallback, rather than primarily vector embeddings.
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.
kaeru logokaeru
↳An agent needs to recall its thought process and project context from a previous session.
↳A team of agents needs to share and build upon a collective, long-term knowledge base.
↳An agent wants to capture new observations or hypotheses within a specific project scope.
↳Tracing the provenance and history of a piece of knowledge or a decision made by an agent.
FAQ

FAQ

What is the difference between Waggle-mcp and kaeru?
Both Waggle-mcp and kaeru are in the Memory & Context category. Waggle-mcp has 44 stars, while kaeru has 40 stars.
Which is better, Waggle-mcp or kaeru?
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 kaeru if An agent needs to recall its thought process and project context from a previous session..
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
Is kaeru free or open source?
Yes, kaeru is open source on GitHub (MIT).
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