# Memford

> Shared project memory for AI agents: notes, decisions, reusable standards, on-demand skills and version history, accessed through project-scoped MCP connections.

Memford stores selected project knowledge. It does not transfer running processes, repositories or entire conversations between clients. Ordinary reads return active notes and assigned standards. Optional AI review requires project consent, prepares source-based drafts and flags possible conflicts for human approval or rejection. Agents can request valid approved context with compact reads; original notes and assigned standards remain available. Summary quality and token savings remain under evaluation.

Optional terminal hooks support selected checkpoints in Codex and Claude Code on macOS and Linux. Recovery starts from the last confirmed remote checkpoint, not from unsaved work. Client support and setup verification matter.

This is a public product index. It contains no customer notes or credentials and grants no access to private projects.

## Product

- [Features](https://memford.ai/features/): Explore shared memory, standards, skills, AI review and history.
- [Solutions](https://memford.ai/solutions/): Work across agents, return to different computers and repeat useful workflows.
- [Memford](https://memford.ai/): Product overview and the setup brief.
- [Shared context](https://memford.ai/shared-context/): Share project notes and decisions across authorized AI agents with Memford. Keep the same project, its sources and the context you choose to save.
- [Project standards](https://memford.ai/project-standards/): Write a rulebook once, assign it across projects and include it in agent context. Memford versions shared standards and supports defaults for new projects.
- [Session continuity](https://memford.ai/session-continuity/): Resume from confirmed project knowledge with Memford. Supported terminal hooks save selected checkpoints and load context at the next session start.
- [Version history](https://memford.ai/version-history/): Inspect original notes, revisions and recorded sources in Memford. Choose what agents read while keeping a dated history of changes to project knowledge.
- [Skill library](https://memford.ai/skills/): Keep useful development workflows in one Memford skill library. Assign them to projects so compatible agents can find and load the procedure when needed.
- [AI review](https://memford.ai/ai-review/): Turn growing project notes into a source-based draft with Memford AI review. Inspect possible conflicts and approve a clearer version for your agents.
- [Multiple agents](https://memford.ai/solutions/multiple-agents/): Keep project decisions available when you work across AI agents and coding clients. Connect each compatible agent to the same Memford project memory.
- [Across computers](https://memford.ai/solutions/across-computers/): Keep saved project knowledge available across work and home computers with Memford. Connect compatible agents on different systems to the same project.
- [Repeatable workflows](https://memford.ai/solutions/repeatable-workflows/): Give AI agents a repeatable way to review designs, check releases and hand off work. Store procedures in Memford and assign them where they are useful.

## Setup and documentation

- [Agent setup guide](https://memford.ai/assets/memory.md): Project selection, authorization and save/read verification.
- [Connect agents](https://docs.memford.ai/docs/connect-agents/): Supported connection paths and setup checks.
- [Skill library](https://docs.memford.ai/docs/skills/): Reusable workflows, explicit assignments and on-demand retrieval.
- [Shared standards](https://docs.memford.ai/docs/standards/): Assignments, new-project defaults, versions and limits.
- [Notes and history](https://docs.memford.ai/docs/memory-and-history/): Active reads, originals, revisions and provenance.
- [Hooks and recovery](https://docs.memford.ai/docs/hooks/): Activation, checkpoint behavior and recovery boundaries.
- [MCP reference](https://docs.memford.ai/docs/mcp-reference/): Project-scoped tools, resources and change hints.
- [Security](https://docs.memford.ai/docs/security/): Access controls, encryption and provider boundaries.