Deep Work Plan vs Memdex — Save your AI conversations. Use them everywhere.: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Deep Work Plan and Memdex — Save your AI conversations. Use them everywhere. — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Deep Work Plan
Dailybot
Open-source, spec-driven methodology that turns any repo into a harness so coding agents finish long-horizon work.
Key features
- Spec-In-Repo Planning: Writes atomic tasks, acceptance criteria, validation gates, and resumable state directly into the repository as a durable plan.
- Drift Resistance: Keeps agents from losing context or abandoning multi-hour tasks by anchoring them to the plan as the source of truth.
- Resumable Long Runs: State survives context resets so any agent can pick up exactly where the previous one stopped.
- DWP-Verify: Produces an objective pass/fail report against the spec so AI-first completion is verified, not assumed.
- Agent-Agnostic: Works with Claude Code, Codex, Cursor, or any coding agent, with no lock-in.
- Open Source: Released under the MIT license and free to adopt in any repository.
Best for
- Large Migrations: Driving multi-file migrations to completion without the agent drifting or stalling.
- New Subsystems: Building a new subsystem against explicit acceptance criteria and validation gates.
- Cross-File Refactors: Coordinating refactors across dozens of files with a durable, resumable plan.
- Verified Delivery: Producing an objective pass/fail report to confirm work meets the specification.
Memdex — Save your AI conversations. Use them everywhere.
Memdex
Auto-saves AI conversations across ChatGPT, Claude, and Gemini with local-first storage and searchable reuse.
Key features
- Auto-Save Across Platforms: Continuously captures conversation transcripts from major chat interfaces (ChatGPT, Claude, Gemini) so users don’t lose context across sessions or browser tabs.
- Local-First Storage: Stores all saved conversations on the user’s device (100% local storage) to eliminate vendor lock-in and reduce privacy exposure.
- Searchable Indexing: Builds a keyword/semantic index of saved chats to quickly locate relevant past exchanges, prompts, or project-specific context.
- Context Reuse & Injection: Allows users to bring selected past messages or threads into new chats or agents to preserve continuity and avoid re-telling context.
- Cross-Platform Connectors: Integrates with multiple chat providers through browser-level connectors/extensions to capture and surface memory everywhere the user interacts with an LLM.
- Organization Tools: Lets users tag, group, or filter saved conversations so project-related context can be surfaced rapidly when needed.
- Automatic capture and save of conversations across ChatGPT, Claude, and Gemini
- 100% local storage of conversation data (no cloud persistence)