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MemoryByteRover

ByteRover

Persistent memory layer for AI coding agents.

Categories
MemoryMCP
Pricing
FREEMIUM
Hosting
Hybrid
Platforms
CLIAPI
Models
Model-agnostic
Verified
Jun 14, 2026

ByteRover gives coding agents long-term, structured memory that persists across sessions and tools. It organizes project knowledge into hierarchical context trees, stores them locally by default, and serves relevant context back to agents through an MCP server and CLI. It plugs into Cursor, Claude Code, Windsurf, and other assistants, and an optional cloud tier lets teams sync and share context.

Capabilities 2

What it actually does — grouped by capability family.

  • MCP server (secondary capability)
  • Agent memory (primary capability)

Pros & cons

  • Local-first, no telemetry by default
  • Works across Cursor/Claude Code/Windsurf
  • Source-available CLI (Elastic 2.0)
  • Free-forever tier
  • Source-available, not OSI open source
  • Younger than general-purpose memory APIs
  • Cloud sync and team sharing are paid

Tags

Further reading

View all Memory
  • View mem0 details
    MemoryFREEMIUMOpen core

    mem0

    Mem0

    Long-term memory layer for AI agents. Self-hostable.

    Persistent memory store + retrieval pipeline for agent applications. Handles per-user/per-session/per-agent scope cleanly; pairs with OpenAI, Anthropic, and local models.

    Quick to adopt, broad framework integrations
    Weaker on temporal/state-change queries
    • memory
    • agents
    • rag
    • self-hosted
  • View Supermemory details
    MemoryFREEMIUMOpen core

    Supermemory

    Supermemory

    Memory API that gives any AI agent long-term recall.

    Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.

    MIT-licensed, self-host or managed
    Younger project, evolving API
    • agent-memory
    • rag
    • long-term-memory
  • View Zep details
    MemoryFREEMIUM

    Zep

    Zep

    Temporal knowledge-graph memory for AI agents.

    Memory layer that gives agents long-term context by building a temporal knowledge graph from chat history and business data, tracking how facts evolve over time. It's powered by Graphiti, Zep's Apache-2.0 open-source temporal graph engine, with Zep Cloud offering a managed, credit-based service on top. Used to keep agent context relevant as conversations and data grow.

    Open-source Graphiti engine (Apache-2.0)
    Graph approach has learning curve
    • memory
    • agents
    • knowledge-graph
    • temporal
    • +1
  • View Cognee details
    MemoryFREEMIUMOpen core

    Cognee

    Cognee

    Open-source memory for AI agents.

    An open-source semantic memory layer for AI agents. Cognee ingests documents, relational data, and system context, then runs an Extract-Cognify-Load pipeline that uses an LLM to build a knowledge graph with embeddings and relationships. Agents query it for durable, cross-session context that captures how concepts connect. Self-host the Python SDK for free, or use the managed cloud tiers.

    Self-hostable Python SDK
    Newer, smaller ecosystem
    • agent-memory
    • knowledge-graph
    • rag
    • open-source