Memorylayer

Hosted memory runtime for agents

Use cases

Memory workflows that survive handoff.

Memorylayer is useful when an agent, team, or automation needs context that outlives a single chat window, terminal session, or CI run.

5

playbooks for repeatable memory operations

12

integration recipes for agents and workers

25

capability groups exposed through the service

handoff triage research automation
01 / Agent handoff
Start from the real stop point

Load recent memory, compact context, active decisions, and known follow-ups before touching code.

02 / Team memory
Share operational context

Keep project state, incident notes, and decisions available to every authorized workspace member.

03 / Research threads
Keep evidence searchable

Store findings, sources, hypotheses, and corrections as structured memory instead of lost transcripts.

04 / Long automations
Give workers continuity

CI jobs, monitors, and scheduled agents can recall what changed and write back what they learned.

Best fitMulti-session work with decisions, state, and follow-up risk.
Bad fitOne-off chats where no future agent needs the result.
PatternRecall first, work normally, remember the useful delta.

Where it fits.

These are practical operating patterns for hosted memory, not abstract feature labels.

Repo continuity

Preserve branch state, open bugs, test status, release notes, and deployment decisions across Codex or Claude sessions.

coding agentshandoff

Incident memory

Capture hypotheses, affected systems, mitigations, owners, and postmortem actions while the response is still moving.

opsaudit

Research notebook

Turn transcripts, notes, citations, and evidence trails into searchable memory with durable negative knowledge.

researchevidence

Customer context

Store workspace-specific preferences, constraints, resolved questions, and support outcomes without mixing tenants.

workspaceisolation

CI recall

Let build workers recall previous failures, flaky tests, deployment notes, and environment-specific fixes.

automationruntime

Agent onboarding

Bootstrap new tools with starter skills, service manifests, route fixtures, and compact project context.

skillsmanifest

Workflow patterns.

Most useful clients follow the same small loop.

bootstrap
Fetch `/connect` or `/env` to discover URLs, auth shape, startup calls, starter skills, and available MCP tools.
recall
Load recent memories and ask `recall_context` for the specific task before making changes.
operate
Use direct APIs for common search/write paths and the MCP bridge for higher-level memory tools.
checkpoint
Finish with `session_checkpoint` or `session_handoff` so the next session starts cleanly.

Ready-made playbooks.

Use these as implementation checklists for teams and agent clients.

Playbook JSON

New agent session

The agent starts with useful state and leaves a handoff behind.

Fetch bootstrap Load resume_context Call get_skills Use recall_context Save session_checkpoint

Repository handoff

A repo can be picked up by another session without reading stale chat logs.

Ingest summary remember_project remember_decision session_handoff export recent

Memory cleanup

Operators can keep the workspace useful instead of letting memories rot.

quality_metrics dedup batch_tag promote/demote status_history

Investigation pivot

A single entity becomes a navigable map of prior work.

search_entities entity_graph recall_related backlinks focus_brief

Client onboarding

A custom client can wire itself without hardcoded docs.

service manifest MCP manifest capability JSON copy SDK snippet test status