AI Tool Profile
Mem0’s Pi Code Plugin Adds Persistent Project Memory
A Pi Agent extension that captures and retrieves persistent semantic memory across coding sessions using session, project, global, and monorepo-aware scopes.
Verification & Sources
- Evidence state
- Source-verified
- Source links
- 2
- Freshness
- Checked July 23, 2026
- Last verified
- July 23, 2026
- Last updated
- July 24, 2026
What this evidence state means
- Definition
- The stated claim was checked against a named primary or authoritative source. This does not mean Kingy tested the product.
- Required provenance
- At least one public, named primary or authoritative source that directly supports the claim.
- Owner
- Kingy editorial reviewer
- Freshness rule
- Recheck within 30 days and after a material product, price, access, or source change.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
What It Does
A Pi Agent extension that captures and retrieves persistent semantic memory across coding sessions using session, project, global, and monorepo-aware scopes.
Full Guide
Last updated: 2026-07-23
Last verified: 2026-07-23
TL;DR: The Mem0 plugin for Pi Code gives the Pi coding agent persistent, searchable memory across sessions. It can capture project decisions and retrieve relevant context later, with project, session, global, and monorepo-aware scopes. That continuity can reduce repeated setup, but teams need retention, privacy, and correction rules before storing real repository context.
What launched
Mem0 announced the Pi Agent extension on June 24, 2026. It is installed as the @mem0/pi-agent-plugin package and uses a Mem0 API key. Once configured, the extension can capture useful context from a coding session and make that context available to later sessions.
The plugin is not simply a longer chat history. Mem0 describes semantic search over stored memories, automatic capture, explicit memory commands, and a consolidation process called dream mode. The intended result is a smaller set of reusable project facts rather than an unfiltered transcript appended to every prompt.
What the plugin remembers
The launch documentation describes several scopes. Session memory stays with the immediate task. Project memory can carry conventions and decisions across work on the same repository. Global memory can hold preferences that apply more broadly. A monorepo-aware mode is intended to keep package-specific context separate while retaining the larger repository relationship.
- Architecture decisions and the reason a team chose them.
- Repository conventions, commands, and recurring constraints.
- Task-specific findings that should survive a new agent session.
- User preferences that are appropriate to reuse across projects.
- Consolidated memories derived from several related observations.
The plugin exposes eight slash commands as well as a mem0_memory tool. Teams should use explicit commands during evaluation so reviewers can see when a memory is added, searched, listed, or removed. Automatic capture can follow only after the stored material is predictable.
Why persistent memory matters
Coding agents often lose context between sessions. A developer must restate build commands, design decisions, known failures, and which files are authoritative. Persistent memory can reduce that repetition and help a new session avoid reversing an earlier decision.
That benefit is not the same as correctness. A stale or mistaken memory can be retrieved confidently and shape later code. Readers following coding-agent AI News should treat memory as a source that can be inspected and corrected, not an invisible truth layer.
Privacy and governance questions
Before enabling the plugin on a company repository, determine what content is sent to Mem0, where it is stored, who can retrieve it, and how it is deleted. Secrets, customer data, incident details, and proprietary code should not be captured by default. Repository access does not automatically authorize durable storage in another service.
Memory also needs ownership. A personal preference may be useful globally, while an architectural exception belongs only to one project. Teams should define which scope each memory uses, how long it remains valid, and who reviews a correction when the codebase changes.
Pricing
Mem0’s current pricing page lists a Hobby plan with 10,000 memory additions, 1,000 retrievals, and one project. The Starter plan is listed at $19 per month and Pro at $249 per month, with Enterprise pricing by arrangement. Limits and plan details can change, so confirm them before estimating a rollout.
Agent usage also carries the cost of the underlying model, Pi environment, development infrastructure, and review time. Count memory calls during a representative task instead of assuming the plan limits translate directly into a number of developers.
How to evaluate it
- Use a disposable repository with no secrets or customer information.
- Add three explicit project memories and verify their scope and stored wording.
- Start a new session and test whether relevant memories are retrieved without unrelated ones.
- Change one decision, remove the old memory, and confirm that the correction persists.
- Review account deletion, export, access, and retention controls before broader use.
Kingy AI verdict
The plugin addresses a real coding-agent weakness: useful context disappears when a session ends. It is worth testing when teams repeatedly explain the same repository. Begin with explicit, low-sensitivity memories and make retrieval visible. Persistent context is valuable only when users can see, limit, update, and delete it.
FAQ
Does the plugin save the entire conversation?
Mem0 presents it as semantic memory with automatic and explicit capture, not merely a full transcript replay. Teams should inspect what is actually stored.
Can memories be limited to one repository?
Yes. The plugin describes project and monorepo-aware scopes in addition to session and global memory.
Is there a free option?
Mem0 currently lists a limited Hobby plan. Verify current limits and whether they fit the intended number of projects and retrievals.
Official links
Related Kingy AI links
Tool Links
Launch History
Mem0 Plugin for Pi Code
Mem0 launched the Mem0 Plugin for Pi Code on June 24, 2026.
- Launch readiness
- 7.2 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-25.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Mem0 launched its Plugin for Pi Code on June 24, 2026, adding persistent, scoped memory so coding agents retain project context, decisions, and preferences…