Basic Memory

Basic Memory

Local-first agent memory as plain Markdown — a semantic knowledge graph you and the agent can both read.

Score 81(?)Basic MachinesAGPL-3.03.3kVerified Top MCPs for Agent Orchestration

Quick answer

What it does

Reads and writes Markdown notes in a local project folder, builds a link-based semantic graph over them, and serves relevant context back to the agent via search and graph-traversal tools.

Best for

  • Local-first agent memory
  • Obsidian vault read/write from an agent
  • Inspectable, git-versionable memory
  • Cross-session project recall

Not for

  • Multi-tenant SaaS memory at scale
  • Billion-scale vector retrieval

Setup recipe

Pick your client, then follow the three steps.

  1. 1

    Install

    claude_desktop_config.json
    {
      "mcpServers": {
        "basic-memory": {
          "command": "uvx",
          "args": [
            "basic-memory",
            "mcp"
          ],
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    Paste under mcpServers. Fully quit and reopen Claude after editing.

    CLI or .mcp.json
    # export BASIC_MEMORY_PROJECT=optional-project-name
    claude mcp add basic-memory -- uvx basic-memory mcp

    Run from your repo. Commit .mcp.json to share with your team.

    .cursor/mcp.json
    {
      "mcpServers": {
        "basic-memory": {
          "command": "uvx",
          "args": [
            "basic-memory",
            "mcp"
          ],
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    Global path: ~/.cursor/mcp.json. Reload window after editing.

    .vscode/mcp.json
    {
      "servers": {
        "basic-memory": {
          "command": "uvx",
          "args": [
            "basic-memory",
            "mcp"
          ],
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    VS Code uses the "servers" key (not "mcpServers").

    ~/.codeium/windsurf/mcp_config.json
    {
      "mcpServers": {
        "basic-memory": {
          "command": "uvx",
          "args": [
            "basic-memory",
            "mcp"
          ],
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    Open via Cascade → hammer icon → Configure.

    cline_mcp_settings.json
    {
      "mcpServers": {
        "basic-memory": {
          "command": "uvx",
          "args": [
            "basic-memory",
            "mcp"
          ],
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    Open via the Cline sidebar → MCP Servers → Edit.

    ~/.continue/config.json
    {
      "experimental": {
        "modelContextProtocolServers": [
          {
            "transport": {
              "type": "stdio",
              "command": "uvx",
              "args": [
                "basic-memory",
                "mcp"
              ],
              "env": {
                "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
              }
            }
          }
        ]
      }
    }

    Continue uses modelContextProtocolServers with a transport block.

    ~/.codex/config.toml
    # ~/.codex/config.toml
    [mcp_servers.basic-memory]
    command = "uvx"
    args = [
      "basic-memory",
      "mcp",
    ]
    env = { BASIC_MEMORY_PROJECT = "${BASIC_MEMORY_PROJECT}" }

    Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.

    ~/.config/zed/settings.json
    {
      "context_servers": {
        "basic-memory": {
          "command": {
            "path": "uvx",
            "args": [
              "basic-memory",
              "mcp"
            ]
          },
          "env": {
            "BASIC_MEMORY_PROJECT": "${BASIC_MEMORY_PROJECT}"
          }
        }
      }
    }

    Zed calls them "context_servers". Settings live-reload on save.

    ChatGPT → Apps directory

    Basic Memory doesn't ship a hosted HTTPS endpoint today. ChatGPT supports remote MCP servers only — to use this server in ChatGPT you'll need to deploy it to a public HTTPS URL first (e.g. via Cloudflare Workers or Vercel) or wait for an official remote build.

  2. 2

    Set required secrets

    Set BASIC_MEMORY_PROJECT in your shell environment before launching your MCP client.

  3. 3

    Try a minimum working prompt

    Minimum working prompt pending verification. Try any prompt from the MCP’s README once installed.

Tools & permissions

ToolDescriptionArgsSide effects
write_noteCreate or update a Markdown note in the knowledge base.title: string, content: stringWrite
read_noteRead a note by title or path.identifier: stringRead
searchFull-text and semantic search across notes.query: stringRead
build_contextTraverse the note graph to assemble relevant context for a topic.url: stringRead
recent_activityList recently created or edited notes.Read

Security & scope

Access scope
Read + write
Sandbox
Reads and writes Markdown files inside the configured project directory. No outbound network calls unless cloud sync is explicitly enabled.
Gotchas
  • Tools can delete and overwrite notes — point it at a dedicated folder, not your whole home directory.
  • AGPL-3.0 is copyleft; review it before bundling Basic Memory into a distributed product.
  • A misconfigured project path can let the agent write outside the intended vault — set BASIC_MEMORY_PROJECT explicitly.

Agent prompt pack

— copy into Claude, Cursor, or ChatGPT.
Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.
Recommend the best MCP servers for [task: e.g. agent orchestration work] in [client: Claude].

Constraints:
- Prefer tools that are [official | open-source | read-only] — pick what matters for my use case.
- Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport].
- Return at most 3 picks, ranked.

For each pick include:
1. One-sentence rationale.
2. The ready-to-paste install snippet for my client.
3. Any required secrets I need to create before installing.

Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-agent-orchestration
Compare Basic Memory against a real alternative. Swap the second MCP in [brackets] if you want a different match.
Compare Basic Memory MCP vs [Memory MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"].

Judge them on:
- Setup time and complexity (what a new user hits first).
- Auth model (none / API key / OAuth 2.1) and credential risk.
- Transport (stdio / Streamable HTTP / SSE) and where the server runs.
- Required secrets and the blast radius if they leak.
- Operational risk in an unattended agent loop.
- Which one is "good enough" for a weekend prototype vs. production.

End with one sentence: which should I pick for my scenario, which is: [my scenario].

References:
- https://top-mcps.com/mcp/basic-memory
- top-mcps.com listing for Memory
Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.
Install the Basic Memory MCP server for my [client: Claude] at the default config path for that client.

Use the exact install snippet published at https://top-mcps.com/mcp/basic-memory (fetch https://top-mcps.com/mcp/basic-memory.json for the canonical server.json if you can read URLs).

Before finishing:
1. Create the required secrets (BASIC_MEMORY_PROJECT) and put them in the appropriate env block — do not hard-code them.
2. Restart or reload the client so it picks up the new server.
3. Verify the server is connected (green / running state) and at least one tool is listed.
4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry.

Confirm when done and list the tools the server now exposes.

Frequently asked questions

What changed

2 updates tracked.
  1. Refreshed install snippets and fact sheet; verified for 2026.

  2. Initial directory listing.

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