marsnme
MarsNMe is an agent-agnostic, LLM-agnostic memory backend that provides persistent, semantic memory across multiple AI tools and sessions.
Short-Term Memory
insert_memory— Store ephemeral context with a default 7-day TTLlist_memories— Browse recent memories in reverse chronological ordersearch_memories— Semantically search short-term memories using Jina embeddingssoft_forget— Early-expire short-term memories (audit trail preserved)
Long-Term Memory
memory_ingest/dream_ingest— Promote content to permanent long-term storage with auto-chunking and vector embeddingsrecall— Semantically retrieve established knowledge and archived insightsdemote_memory— Deprecate outdated long-term chunks (flagged, not deleted)explain_memory— Trace the full provenance of a long-term memory chunkbatch_promote— Auto-promote expiring short-term memories to long-term storage; supports dry-run preview
Session Lifecycle
session_boot— Initialize a session by pre-loading identity and context from long-term memorysession_close— Save a session summary for future continuity
System & Maintenance
health_check— Run diagnostics: chunk counts, expiring memories, timeline gaps, and conflictsreload_source_registry— Refresh the source whitelist cache at runtime
Key Features
Two memory tiers: short-term (TTL-based) and long-term (semantic, permanent)
Semantic search via Jina v3 embeddings (pgvector)
Multi-profile isolation via
MCP_PROFILEfor multiple agents/use casesCross-tool continuity with Claude, Cursor, Warp, Perplexity, and any MCP-compatible client
Data sovereignty: your data stays in your own Supabase project
Allows Perplexity Spaces to store and recall long-term and short-term memories for continuity across conversations.
Allows Warp terminal's AI agent to access shared memory profiles for context persistence.
English | 繁體中文(台灣) | 繁體中文(香港) | 简体中文
marsnme.com — Claude.md is for context. MarsNMe is for continuity.
Your AI tools should know you — not start from scratch every time. When Perplexity helps you decide, Claude should remember why. When Cursor ships a feature, Warp should know the context. That's not context sharing. That's continuity.
Most AI memory tools help AI remember you. MarsNMe helps you and your AI remember each other — across sessions, across tools, over time.
An agent-agnostic, LLM-agnostic memory backend for MCP-compatible tools.
curl -fsSL https://marsnme.com/install.sh | bash
Real user story
I use Cursor to code, Warp to deploy, Perplexity to research, and Claude Code to manage my vault. Before MarsNMe, every tool started blank — I had to re-explain my project, my preferences, my decisions every single session. Now my AI across all four tools knows what we decided yesterday, what we tried last week, and why we chose this architecture over that one. It's not about injecting context. It's about having a relationship that compounds over time.
— Leo, MarsNMe creator (3 months of daily use across 4 AI tools)
Related MCP server: mesh-memory
Available MCP Tools (16)
Tool | Description |
| Store short-term memory |
| List recent memories |
| Semantic search via Jina embeddings |
| Long-term chunk recall — ~80-char preview per match |
| Medium excerpt (~300 chars) of a chunk by ID |
| Complete text of a long-term chunk by ID |
| Ingest long-term insight chunks |
| Dream-mode long-term ingestion |
| Start a session with context pre-load |
| Close session, summarize, auto-promote expiring memories |
| Coverage, expiry, conflict diagnostics |
| Refresh source whitelist at runtime |
| Demote a memory to lower priority |
| Soft-delete a memory |
| Explain a memory's provenance |
| Promote expiring short-term memories to long-term |
What's new in 0.3.0
3-layer recall:
recallreturns ~80-char previews, thenget_summary(~300 chars), thenget_full(complete). Avoids token-dumping full chunks on every recall; drill down only when a preview looks relevant.Body-to-body note handoff:
session_close(to=<body>, note=...)leaves a note thatsession_boot(body=<target>)delivers and marks read — one agent can hand context to another.Auto
batch_promoteonsession_close: closing a session automatically promotes soon-expiring short-term memories (48h window, up to 5) to long-term storage — no Hermes or manual promote needed.grok+draftsources: added to the source whitelist so the Grok body and Draft lifecycle hooks can write memories natively.CoCo-only tool surface: PRD tools (
save_prd,get_prd,list_prds,score_prd,spawn_to_linear) removed from the Supabase gateway — idea/PRD/task execution now lives in Draft. MarsNMe = CoCo soul memory only.
MarsNMe
Why MarsNMe?
Most AI memory tools help AI remember you. MarsNMe helps you and your AI remember each other.
MarsNMe | Typical memory tool | |
Philosophy | Mutual continuity — human + AI both grow | AI-side context injection only |
Agent support | Any MCP-compatible client | Often client-specific |
Memory tiers | Short-term (TTL) + long-term (semantic) | Usually one layer |
Profiles | Unlimited isolated profiles via | Single-user only |
Data ownership | Your own Supabase — zero vendor lock-in | Vendor-hosted |
Search | Jina v3 semantic search (1024-dim pgvector) | Keyword or basic similarity |
Self-hostable | ✅ Full control | Rarely |
When MarsNMe is the right fit
You use multiple AI assistants (Claude, Cursor, Perplexity, Warp, custom agents) and want shared memory across all of them
You want AI that remembers your projects, preferences, and decisions across sessions without re-explaining
You care about data sovereignty — your memories stay in your own Supabase project
You're building an AI agent and need a production-ready memory backend with semantic recall
When it might not be the right fit
You only need single-session context (just use the system prompt)
You want fully managed, zero-config memory with no setup (try a hosted solution)
Runtime packages
Folder | Runtime | Who uses it |
| Supabase + Jina gateway ( | Mars Group dogfood — Proxmox CT101 (CoCo / Toto soul memory) |
| Cloudflare Workers + D1 + Vectorize | Self-host template; not the Proxmox deploy path |
|
| Public setup wizard → upstream gateway |
Product split (Mars Group): Idea / PRD / task execution → Draft + draft-mcp. MarsNMe Supabase = CoCo soul memory only (recall, session boot/close, ingest, lifecycle). As of @marsnme/mcp-gateway v0.3.0, PRD MCP tools (save_prd, get_prd, list_prds, score_prd, spawn_to_linear) are removed from the Supabase gateway — use Draft for idea/PRD/task workflows.
Proxmox deploy: private MarsNMe-lab — deploy/deploy-proxmox-ct101.sh or GitHub cd-selfhosted workflow. Not a single-script deploy like draft-mcp.
Repository Packages
Package | Description |
| Core MCP gateway — agent-agnostic memory backend (this package is published to npm as |
| Cloudflare Worker for |
| Self-hosted MCP memory server on Cloudflare Workers + D1 + Vectorize (no Supabase needed) |
Quick Setup (no install needed)
Go to mcp.marsnme.com/setup — create your personal MCP URL in 4 steps:
Pick a username
Enter your Supabase credentials (URL + anon key)
Choose preferences
Get your MCP URL:
https://mcp.marsnme.com/your-name
Then add it to any MCP client (Claude, Cursor, Perplexity, Warp).
Self-hosted? Deploy marsnme-cf/ to your own Cloudflare account — no Supabase needed, uses D1 + Workers AI + Vectorize.
Before You Start (External Dependencies)
Create a Supabase project (free plan is enough):
Sign up: https://supabase.com
Create project: https://supabase.com/dashboard/new
Open API settings (Project Settings → API):
Project URL →
SUPABASE_BASE_URLservice_rolekey →SUPABASE_SERVICE_ROLE_KEY
Keep
SUPABASE_SERVICE_ROLE_KEYprivate. Never commit it.
Create a Jina API key (free tier available):
Get key: https://jina.ai/api-key/
Copy key to
JINA_API_KEY
Quick Start (15-20 minutes)
For the fastest path, use the one-line installer: curl -fsSL https://marsnme.com/install.sh | bash
The manual path below follows the same tools-first flow as docs/onboarding-a-mcp-zero-to-recall.md and docs/onboarding-b-platform-skill-install.md.
Clone repository:
git clone https://github.com/Marsmanleo/MarsNMe.git
cd MarsNMeVerify Node.js version (20+ required):
node --versionCopy environment template:
cp .env.example .envFill required values in
.env:SUPABASE_BASE_URLSUPABASE_SERVICE_ROLE_KEYJINA_API_KEY
Run required Supabase migrations before first start:
Option A (recommended, Supabase CLI):
npx supabase db push --db-url "<your-supabase-db-connection-string>"Note:
--db-urlmust be the Postgres database connection string fromProject Settings → Database → Connection string.It is not the same as
SUPABASE_BASE_URL(https://<project-ref>.supabase.co, REST API URL).Use a role that can execute DDL on your target schemas.
On Supabase-hosted Postgres this is typically
supabase_admin(notpostgres).Option B (Supabase Dashboard SQL Editor):
Open SQL Editor.
Ensure the
vectorextension is enabled first (Database → Extensions).Run migration files in filename order from
supabase/migrations/:20260504052744_semantic_vector_dual_profile.sql20260513213800_memory_lifecycle_tracking.sql20260513222500_health_check_detect_conflicts_v2.sql20260517183000_provenance_audit_trail.sql20260517194000_memory_scope_agent_body_environment.sql20260517200500_forget_demote_mechanism.sql20260517223500_usage_cost_telemetry_light.sql20260517231000_memories_source_constraint_regex.sql20260517232000_source_registry_table.sql
Start gateway:
MCP_PROFILEseparates memory by agent or use case.Use any profile name you want (for example:
default,my-agent,profile-a).Legacy built-in profile IDs
cocoandtotoare still supported for compatibility.If
PORTis omitted, default port is profile-based (coco=18790,toto=18791, other profiles deterministic in20000-29999).
MCP_PROFILE=profile-a PORT=18790 npx @marsnme/mcp-gatewayVerify health:
curl -sS http://127.0.0.1:18790/healthConnect your MCP client (next section), then run the first round-trip check.
Try In 30 Seconds (Docker, M1)
If you only want a local demo path, use Docker Compose.
One-line install (recommended):
curl -fsSL https://marsnme.com/install.sh | bashOr manually:
Set only the required key:
cp .env.example .env
# fill JINA_API_KEY in .envStart local stack:
docker compose upThis starts:
PostgreSQL + pgvector
SQL migrations from
supabase/migrations/PostgREST + rest-proxy
MarsNMe gateway (
http://127.0.0.1:18790/mcp)
Verify health:
curl -sS http://127.0.0.1:18790/healthM2 Cloudflare Tunnel Profile (Demo)
When you need a temporary public endpoint for remote AI tools:
docker compose --profile tunnel upExpected output (from tunnel logs):
https://xxxx.trycloudflare.comGet MCP endpoint:
docker compose --profile tunnel logs tunnel | grep -Eo 'https://[^ ]+trycloudflare.com' | head -n1
# append /mcpNotes:
trycloudflare.comURL is temporary (demo only).Local endpoint remains:
http://127.0.0.1:18790/mcp.For production/stable URL, use named tunnel (outside M2 scope).
Optional env:
MCP_TUNNEL_PROFILE(defaultcoco)MCP_TUNNEL_REQUIRE_BEARER(defaultfalsefor demo convenience)
MCP Client Connection Guide
Local endpoint:
http://127.0.0.1:18790/mcp
If bearer auth is enabled (MCP_REQUIRE_BEARER=true), include:
Authorization: Bearer <your-token>
Claude Desktop
Open
claude_desktop_config.json(macOS default path:~/Library/Application Support/Claude/claude_desktop_config.json).Add/update:
{
"mcpServers": {
"marsnme-cf": {
"url": "http://127.0.0.1:18790/mcp"
}
}
}Restart Claude Desktop.
Cursor
Open Cursor Settings and search for MCP.
Add a new server:
Name:
marsnme-cfURL:
http://127.0.0.1:18790/mcpHeaders: optional bearer header if enabled
Reconnect MCP in Cursor.
Warp
Open
Settings > Agents > MCP servers.Add a server pointing to:
URL:
http://127.0.0.1:18790/mcp
Add optional bearer header if required, then reconnect.
Perplexity
Open a Space in Perplexity and go to Space Settings.
Under MCP servers, add:
URL:
http://127.0.0.1:18790/mcp
Save and start a new conversation in that Space.
Any MCP client (generic HTTP/SSE)
Use a streamable HTTP/SSE MCP entry:
{
"marsnme-cf": {
"url": "http://127.0.0.1:18790/mcp"
}
}First Connection Validation (Round Trip)
After client connection, verify this sequence once:
tools/list:
curl -sS http://127.0.0.1:18790/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'insert_memory:
curl -sS http://127.0.0.1:18790/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"insert_memory","arguments":{"body":"quickstart memory check","source":"warp","session_id":"quickstart-smoke"}}}'recall:
curl -sS http://127.0.0.1:18790/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"recall","arguments":{"query":"quickstart memory check","limit":3}}}'What this repository is
mars-memory-mcp is the core MCP gateway repository behind the public-facing MarsNMe release.
One codebase (marsnme-supabase/server.mjs) serves multiple profile schemas through MCP_PROFILE.
This public repository currently keeps two built-in legacy profile IDs (coco, toto) for backward compatibility.
Current capabilities
MCP methods:
initialize,notifications/initialized,tools/list,tools/call,pingProfiles: configurable profile IDs (legacy built-ins:
coco,toto)Memory tools (16):
insert_memory(short-term memory)list_memoriessearch_memories(Jina embedding search)recall(~80-char preview) thenget_summary(~300-char excerpt) thenget_full(complete text)memory_ingest/dream_ingest(long-term chunk ingestion)session_boot/session_close(daily rhythm lifecycle; close auto-promotes expiring memories + supports body-to-body note handoff)health_check(coverage, expiry, conflict diagnostics)reload_source_registry(refresh source whitelist at runtime)demote_memory/soft_forget/explain_memory(memory lifecycle management)batch_promote(promote expiring short-term memories to long-term)
Sources:
perplexity,cursor,warp,openclaw,hermes,draft,grokOAuth-protected MCP endpoint (configurable by environment variables)
Memory model
Short-term memory table:
<profile>.memoriesLong-term memory table:
<profile>.marsvault_chunksRecommended usage:
Keep daily interaction context in
insert_memoryPromote durable insights through ingest tools
Repository layout
marsnme-supabase/server.mjs— gateway entry pointmarsnme-supabase/scripts/hermes_digest_runner.py— optional digest runnermarsnme-supabase/scripts/dream_runner.py— public self-host dream runnermarsnme-supabase/deploy/systemd/— systemd templatesmarsnme-supabase/deploy/phase2/— build/deploy scriptsmarsnme-supabase/deploy/phase3/smoke_gate.sh— smoke gate scriptsupabase/migrations/— schema-as-code migrations
Environment setup
Copy
.env.exampleto your local.env(do not commit real secrets).Fill required values:
MCP_PROFILE(your profile identifier; this repo ships with legacycoco/toto)SUPABASE_BASE_URLSUPABASE_SERVICE_ROLE_KEYJINA_API_KEY
Optional security flags:
MCP_REQUIRE_BEARER=trueMCP_CLIENT_IDMCP_CLIENT_SECRET
Optional Hermes digest runner
Hermes is optional and disabled by default:
HERMES_ENABLED=falseHERMES_DIGEST_MCP_URLHERMES_DIGEST_MCP_BEARER_TOKENHERMES_DIGEST_ORIGINHERMES_DIGEST_SOURCE_DIR
Optional Dream Runner (self-host)
Dream Runner is public-friendly and can run without Hermes private environment:
DREAM_ENABLED=trueDREAM_MODE=lite|standard|proDREAM_DIGEST_MCP_URLDREAM_MCP_BEARER_TOKEN(if required)DREAM_ENABLE_ISSUE_SIGNALS,DREAM_ENABLE_REPO_SCAN,DREAM_ENABLE_SOUL_CONTEXT(optional overrides)
Quick start:
DREAM_ENABLED=true DREAM_MODE=lite python3 marsnme-supabase/scripts/dream_runner.pyIf you run this repository with bundled defaults and no profile remapping, use coco and toto.
See docs/dream-runner-self-host.md for full configuration.
Onboarding
Zero-to-first-recall guide:
docs/onboarding-a-mcp-zero-to-recall.mdPlatform install guide (optional skill layer):
docs/onboarding-b-platform-skill-install.md
Skill library
Skill index and update workflow:
skills/README.mdPerplexity template:
skills/perplexity/memory-daily-boot/SKILL.mdCursor template:
skills/cursor/memory-daily-boot/rule.mdcWarp template:
skills/warp/memory-daily-boot/prompt.md
Local run (from cloned repo)
MCP_PROFILE=profile-a npx @marsnme/mcp-gatewayMCP_PROFILE=profile-b npx @marsnme/mcp-gatewayHealth endpoints:
GET /healthPOST /mcp
Systemd deployment
Use marsnme-supabase/deploy/systemd/memory-mcp-gateway@.service with instances:
memory-mcp-gateway@profile-a.servicememory-mcp-gateway@profile-b.service
Recommended env files:
/opt/mars-memory-mcp/shared/.env/opt/mars-memory-mcp/shared/.env.profile-a/opt/mars-memory-mcp/shared/.env.profile-b
Release/deploy scripts
Build artifact:
bash marsnme-supabase/deploy/phase2/build_release_artifact.shApply migrations with an explicit DDL-capable role:
npx supabase db push --db-url "<postgres://supabase_admin:<password>@<host>:5432/postgres>"Run pre-deploy schema gate (must pass before any service restart):
bash marsnme-supabase/deploy/phase2/pre_deploy_schema_gate.sh \
--db-url "<postgres://supabase_admin:<password>@<host>:5432/postgres>" \
--profiles coco,toto \
--expected-role supabase_adminRun your platform-specific rollout/restart adapter.
This repository ships generic artifact + gate scripts; rollout adapters are environment-specific.
If schema gate exits non-zero, stop deployment and do not restart services.
Smoke gate:
bash marsnme-supabase/deploy/phase3/smoke_gate.sh --spawn-localAutomated npm + MCP Registry release (tag-driven):
Workflow:
.github/workflows/publish-release.ymlTrigger: push tag
v*Gate: tag version must match
marsnme-supabase/package.jsonversionOptional local Fish helper:
mrel patch
mrel minor
mrel major
mrel 0.1.2 The helper updates marsnme-supabase/package.json and server.json, commits, tags, and pushes.
Security and version control
Never commit
.env, runtime tokens, oroauth-clients.jsonKeep
.env.examplecommitted as the only environment templatePrefer bearer/OAuth for public exposure
License and policy
License: Apache-2.0 (
LICENSE)Notice:
NOTICETrademark policy:
TRADEMARK.mdContribution guide:
CONTRIBUTING.mdContributor agreement:
CLA.mdRelease notes:
CHANGELOG.md
Available Tools
16 toolsbatch_promoteA
Automatically promote expiring short-term memories from demo.memories to permanent long-term storage (demo.marsvault_chunks). Scans for memories that will expire within the alert window, then chunks and ingests each one with vector embeddings. Use this to prevent valuable context from being lost when short-term memories expire. Supports dry-run mode to preview candidates before committing.
Inputs: origin, dry_run, memory_ids, max_promote, +1 more.
demote_memoryA
Deprecate a long-term memory chunk in demo.marsvault_chunks, marking it as outdated or superseded. The chunk is not deleted — it is flagged so it no longer appears in recall results. Use this when information becomes incorrect, irrelevant, or is replaced by newer knowledge. Optionally link to the replacement chunk for traceability.
Inputs: id (required), deprecated_reason (required), deprecated_at, superseded_by.
dream_ingestA
Ingest a Hermes digest (periodic summary report) into demo.marsvault_chunks long-term memory. The content is automatically chunked into semantically meaningful segments and stored with vector embeddings for future recall. Use this for scheduled reports, daily digests, or any structured summary content that should be permanently available.
Inputs: content (required), body, date, tags, +6 more.
explain_memoryA
Trace the full provenance of a long-term memory chunk in demo.marsvault_chunks — where it came from, how it was created, and what source material it was derived from. Returns the original source memory, session, tool, and timeline information. Use this to understand why a piece of knowledge exists or to verify its reliability.
Inputs: id (required).
get_fullA
Fetch the complete text of a long-term memory chunk by ID. Use sparingly after recall/get_summary when you need the full institutional memory entry.
Inputs: id (required).
get_summaryA
Fetch a medium-length excerpt (~300 chars) of a long-term memory chunk by ID. Use after recall when a preview match looks relevant. For complete text, call get_full.
Inputs: id (required).
health_checkA
Run comprehensive demo memory system diagnostics. Returns chunk counts by type and visibility, identifies expiring short-term memories that need promotion, detects timeline coverage gaps, and finds conflicting or redundant long-term chunks. Use this regularly to maintain memory hygiene and before batch promotion.
Inputs: gap_days, max_rows, page_size, topic_limit, +8 more.
insert_memoryA
Store a short-term demo memory into demo.memories (ephemeral context that auto-expires). Use this to capture observations, decisions, session notes, or any context worth remembering temporarily. Memories last 7 days by default unless expires_at is set. For permanent knowledge, use memory_ingest instead.
Inputs: body (required), source (required), session_id (required), tags, +3 more.
list_memoriesA
List recent short-term memories from demo.memories in reverse chronological order — like a daily log or activity feed. Use this to review what was recently captured, check for duplicate memories before inserting, or browse recent activity. This is a time-ordered listing tool, not a search tool. For semantic search by meaning, use search_memories instead. For long-term knowledge retrieval, use recall. Returns memory body, source, creation time, and expiration status.
Inputs: limit, source, unexpired_only.
memory_ingestA
Promote content into permanent long-term memory (demo.marsvault_chunks). Automatically chunks the input text, generates vector embeddings, and stores each segment for semantic recall. Use this to preserve important insights, decisions, patterns, or knowledge that should survive beyond the current session. This is the primary path from ephemeral to permanent memory.
Inputs: content (required), date, tags, type, +11 more.
recallA
Semantic recall from long-term memory (demo.marsvault_chunks) using Jina embeddings. Returns preview snippets (~80 chars) per match by default — use get_summary for a longer excerpt or get_full for complete chunk text. Searches promoted insights, digests, and archived knowledge using vector similarity.
Inputs: query (required), body, type, limit, +8 more.
reload_source_registryA
Reload the source registry cache from demo.source_registry. Use this after adding or removing entries to refresh which sources are enabled for insert/search filtering. Only effective when running in registry mode (MCP_SOURCE_MODE=registry).
Inputs: no named parameters.
search_memoriesA
Semantic search across short-term memories in demo.memories using Jina embeddings. Finds memories by meaning, not just keywords — ask a natural language question and get the most relevant matches. Use this to recall past decisions, find related context, or check if something was already discussed recently.
Inputs: query (required), limit, scope, source, +4 more.
session_bootA
Initialize a new demo session by loading identity, workflow context, and recent status from long-term memory. Also runs an expiry-focused health snapshot and records a heartbeat sign-in. Call this once at the start of every new conversation to restore continuity and awareness of pending work.
Inputs: source (required), body, mood, topic, +9 more.
session_closeA
Save a demo session close summary before ending a conversation. The summary is stored as a short-term memory with 7-day retention, providing context for the next session boot. After saving, automatically promotes up to 5 soon-expiring short-term memories to long-term storage (alert window 48h); promote failures never fail the close. Include what was accomplished, what is still pending, and any important context for continuity.
Inputs: source (required), summary (required), to, mood, +2 more.
soft_forgetA
Expire short-term memories in demo.memories early without permanently deleting them. Marked memories become invisible to search and list operations but remain in the database for audit purposes. Use this to clean up irrelevant or incorrect short-term memories before their natural expiration.
Inputs: ids (required), reason, forgotten_at.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 16 tools
Each tool has a clearly distinct purpose: short-term vs long-term memory, different operations (insert, list, search, recall, get, demote, batch promote, etc.). No two tools overlap in functionality.
Most tools follow a verb_noun pattern (e.g., insert_memory, list_memories, batch_promote). The single-word 'recall' is a minor deviation, and 'get_full' is slightly vague, but overall consistent.
16 tools is slightly above the typical 3-15 range, but the scope is well-defined for a memory management system. Each tool earns its place for short-term, long-term, session, and admin operations.
Covers the full lifecycle: insert short-term, promote to long-term, recall, retrieve, demote, expire, health checks, session boot/close. Only minor missing features like update or hard delete, which are design choices.
Maintenance
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