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agent-memory

by Lolaplex
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Quickstart

pip install agents-memory && agents-memory sync --init

Scaffolds ~/.agents/memory/, autowires MCP into installed IDEs, and registers assistant skills.

TIP

🤖 Agent-Driven Setup: Give your coding agent this repo (clone or URL), then tell it to "install and set up agents-memory."

Source checkouts can also be installed and managed with vand.

Related MCP server: RepoRecall

What it does

Vendors keep chat in product graves (Cursor jsonl, Claude sessions, Antigravity brains, Open AI exports). agents-memory is the portable layer on top: identity, project map, typed facts. Markdown on disk is the source of truth. MCP is a clerk, not a second store. The search index is disposable FTS5 — delete it, rebuild, same results.

Layer

Where

What lives there

Global

~/.agents/memory/

USER.md, PROJECTS.md, concepts, decisions, staging

Per repo

<repo>/.agents/memory/

facts, ADRs, in-progress work (gitignored)

Always-on

host AGENTS.md / rules

short inject; agents search_memory for the rest

Search. search_memory tries exact substring first, then FTS5 fill. get_related follows explicit frontmatter relations (refs, supersedes, same_as), not cosine similarity. Known project slug → get_project_memories.

Ingest → staging → distill. Catalog writes titles and paths to chats-index.md. Extract filters user lines into staging/ (PII, how-tos, dumps dropped). You (or distill_batch / memory-distill) promote durable facts into typed files. Chat bodies never become memory. Conversation logs belong to agents-traces.

IDE injection. One sync splices always-on context into hosts it knows (AGENTS.md / rules) and merges MCP where a config file already lives. Text outside <!-- agents-memory-sync --> stays. Details: Where it runs.

Cloud sync (new in 1.1.0). Several machines, one vault — see below.

Where it runs

Floor: anywhere with a terminal or an MCP client. Markdown vault + python -m agents_memory mcp is enough. No IDE lock-in.

Deeper support is layered — sync --init autowires what it finds on disk; ingest only covers graves we actually parse.

Layer

What you get

Who

Vault + MCP/CLI

Full tools (search_memory, add_memory, …) or CLI mirrors

Any MCP host / any shell

Autowire on sync

Merge agents-memory into host MCP config; splice always-on AGENTS.md; install skills where the host has a slot

Cursor, Claude Code, Claude Desktop, Zed (context_servers), Antigravity / Gemini, Windsurf, Codex MCP paths, Roo, Cline

Always-on / rules

Marked inject block + bound rules

~/.agents/AGENTS.md (canonical); also Gemini, Zed, Claude home; rules → Cursor / Gemini / Windsurf

Chat ingest

ingest catalog + extract → chats-index.md + staging (bodies stay in product folders)

Cursor, Claude Code, Antigravity, VS Code Copilot, Windsurf, Roo, Cline, Pi, Open AI GDPR export

Ingest ≠ “supports the product.” Titles/paths + filtered user bullets only — same contract for every source (abi/INGEST.md). Distill is still agent/human judgment.

MCP without autowire: Aider, Continue, Goose, stock Copilot Chat, … — point the host at our stdio server yourself. Vault works; we just do not invent their config path.

Not ingested yet: live Codex rollouts, ChatGPT desktop LevelDB, vendor /memory clouds. Add a source when a parser exists — do not wholesale-import foreign memory.

Cloud sync

Mirror the personal store across laptops, a VPS, and other workstations. Each device keeps local files as the working copy. The server holds a merged bundle. MCP tools still run locally; push/pull keeps devices aligned.

1. Host (VPS / always-on box):

agents-memory remote serve --port 8443 --token <YOUR_SECRET_TOKEN>

2. Clients (laptops / workstations):

agents-memory connect https://memory.your-domain.com --token <YOUR_SECRET_TOKEN>

  • New slugs append. Same-slug edits: incoming wins. Conflicts land in staging/sync-conflicts.md.

  • Project trees sync as mirror/projects/<slug>/ in the bundle, then merge back into registered clones.

  • Ingest still reads local chat folders, then pushes the distilled markdown.

  • agents-memory disconnect pulls a last snapshot and restores stdio MCP.

Layout and merge rules: abi/REMOTE.md.

MCP tools

Primary surface. Agents talk to the vault here — not via scraping CLI help.

Tool

What it does

search_memory

Exact substring, then FTS5 fill. Not chat graves. Known slug → get_project_memories.

get_related

Follow frontmatter refs / supersedes / same_as from a hit id

add_memory

File a typed fact; auto-syncs inject

read_memory_file / write_memory_file

Raw file by id (user/USER.md, project/<slug>/…)

get_project_memories

One slug’s in-tree memory (call when opening a repo)

list_projects / inventory_projects / register_project / ignore_project

Project map

get_staging_inbox / distill_batch / auto_distill

Staging → typed memory

delete_memory

Drop a search hit by id

sync_local_agents_md

Rewrite always-on inject

Fifteen tools. Full contract: abi/MCP.md. Session snap/grep/tail live on agents-traces.

CLI

Ops / install / batch. Humans and agents rarely need the vault CRUD verbs — those mirror MCP for scripts. Machine-readable catalog: python -m agents_memory --help-json (do not scrape --help).

Command

Purpose

agents-memory sync [--init] [--push]

Always-on inject, first-run scaffold, optional mirror push

agents-memory inventory [--register …] [--repair-moved]

Disk vs PROJECTS.md; register or fix moved clones

agents-memory search / add / read / write / delete / related

MCP vault mirrors (scripts / no-MCP hosts)

agents-memory ingest catalog|extract|status

Chat catalog and staging extract

agents-memory distill [--auto]

Staging inbox / noise pass

agents-memory check

Mechanical store health (no LLM)

agents-memory rebuild-index

Rebuild disposable FTS5 cache (MCP start already rebuilds)

agents-memory remote … / connect / disconnect

Cloud mirror (connect/disconnect = aliases)

agents-memory serve / web

Local viewer / static HTML export

agents-memory reset --yes

Clear local caches / temp state

agents-memory mcp

stdio MCP clerk

extract-openai is deprecated → ingest extract (openai-export source).

ABI

Implementation-agnostic layout in abi/:

Tests

python tests/run_all_tests.py

License

MIT. See LICENSE.

This server cannot be deployed

Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

Maintenance

ActivityMaintained
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