claude-mem vs NOVA CLI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of claude-mem and NOVA CLI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

claude-mem

thedotmack

Freemium

Persistent memory compression plugin that captures what coding agents do in each session and injects relevant context into future sessions.

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.

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.

Bridgeye

Freemium

Terminal-native autonomous AI developer that builds, debugs and ships code from the CLI with persistent project context.

Terminal-Native Execution: Runs build, fix and deploy commands such as `nova build` directly in the CLI instead of requiring copy-pasting from a chatbot.
Persistent Context: Remembers project structure, workflows and coding history across sessions so prompts do not need to be repeated.
Repo Mapping: `nova map` analyzes the repository to give the assistant multi-file, codebase-wide awareness.
Healer Debugger: A self-healing debugger analyzes stack traces and failures and iterates on fixes automatically.
Multi-File App Builds: Generates and modifies multi-file architectures rather than single-file snippets.
Document & Dashboard Generation: Produces PDF, DOCX and PPT files plus HTML and Streamlit dashboards from prompts.
160+ AI Models: Access to a broad set of models through one CLI login with credit-based usage.
Team & Enterprise Options: Shared credit pools, per-member usage reporting and deployment on cloud, dedicated server or self-hosted.

Feature Scaffolding: Describe a new feature or auth system and let NOVA generate files across the project.
Bug Triage: Feed stack traces to the healer debugger to find and patch runtime failures without leaving the terminal.
Codebase Onboarding: Map an unfamiliar repository and ask architecture questions as an AI pair programmer.
Refactoring: Refactor components and functions across many files with whole-project context.
Quick Deployments: Build and deploy small apps or dashboards in one continuous CLI workflow.
Team Credit Management: Engineering teams share one credit pool with usage reporting by member and model.