claude-mem vs Velozity: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of claude-mem and Velozity — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
c
claude-mem
thedotmack
Persistent memory compression plugin that captures what coding agents do in each session and injects relevant context into future sessions.
Key features
- Automatic Session Capture: Five lifecycle hooks (SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd) record tool usage and observations without manual effort.
- AI Memory Compression: Generates semantic summaries of what the agent did so past work is stored compactly.
- Context Injection: Relevant context from previous sessions appears automatically in new sessions.
- Hybrid Search: A SQLite store plus Chroma vector database enables semantic and keyword search across sessions.
- Token-Efficient MCP Tools: A three-layer search, timeline and get_observations workflow filters before fetching details, saving about 10x tokens.
- Worker Service and Web Viewer: A local HTTP API managed by Bun provides a web UI and search endpoints.
- Multi-Host Install: One command installs for Claude Code, OpenCode, T3 Code, Antigravity CLI, OMP and Pi, and a script sets it up on OpenClaw gateways.
- mem-search Skill: Natural-language queries over past work with progressive disclosure of detail.
Best for
- Long-Running Projects: Keeping a coding agent aware of decisions and bugfixes made weeks earlier.
- Session Handoff: Resuming work after a disconnect without re-explaining the codebase.
- Team Agent Workflows: Preserving institutional knowledge across many agent sessions.
- Debug History Lookup: Searching what an agent tried previously on a recurring bug.
- Token Cost Reduction: Pulling only filtered memory details instead of re-reading large context.
- Cross-Agent Memory: Sharing persistent context between different agent hosts.
Velozity
Akash Mandal
Multiplayer AI workspace where teams and AI agents chat, call, run routines and get work done together.
Key features
- Spaces with Agents: Teams and AI agents share one conversation, with @mentions, threads, reactions and voice notes.
- Custom Agents: Create agents with a name, face and instructions, and manage a cloud computer for them.
- Agent Oversight: Watch an agent step by step, answer its questions, approve plans and grant permissions from a phone.
- Routines: Create, edit and schedule routines and review what each run produced.
- Meeting Transcripts: Ask questions about meeting transcripts and manage tasks and projects in the AI Space.
- Drop-In Collaboration: See who teammates are working with and join conversations without scheduling.
- Event Space: A calendar tab for creating events and managing booking links.
- Built-In Viewer: Open documents, PDFs, CSV tables and images that agents produce.
Best for
- Team Chat with AI: Bring an agent into a team conversation to answer questions or do tasks.
- Meeting Follow-Up: Summarize meetings and automate follow-up actions from transcripts.
- Recurring Work: Schedule routines such as periodic reports run by agents.
- Remote Approvals: Approve an agent's plan or permissions from a phone.
- Private Team Areas: Keep sensitive work in private floors with clear indicators of who can drop in.
- Scheduling: Share booking links and manage events in one workspace.