Skip to main content
Glama

Infimium

The Private Context Layer & Super Brain for Your Codebase. Give AI agents persistent memory, deep dependency graphs, and instant code context -- 100% local, zero token bloat.

npm version MCP Badge MIT GitHub stars

Demo

Infimium demo

Related MCP server: LocalNest MCP

Why

Large repositories make agents read too much code or miss the right symbol. Infimium retrieves compact, relevant context before the agent starts editing.

200,000 lines of code
Agent reads everything -> context blown + expensive
grep "price calculation" -> misses calcPropertyValue()
tool: semantic_code_search
query: "price calculation logic"

-> services/property/calc.ts:142 · calcPropertyValue()
-> callers: getListingPrice(), estimatePropertyTax()

Quick Start

Requires Node.js 22.5+. From your project folder:

cd /path/to/your/project
npx infimium@latest setup

Run setup from the repository you want to index, not from your home directory (~). Infimium stops broad roots automatically so it cannot scan unrelated files.

That creates global config, starts Ollama if it is installed, pulls nomic-embed-text, indexes the current project or workspace, runs doctor, and opens Playground.

The published CLI keeps its executable entrypoint, so MCP clients can launch it directly through the configuration below.

If Ollama is not installed yet:

npx infimium@latest setup --install-deps

infimium setup creates one global config at ~/.infimium/.env. You do not need a .env in every project. Code, docs, memory, graphs, and vectors are stored locally under ~/.infimium/.

Web search is optional. Add a Tinyfish key only when you need it:

SEARCH_PROVIDER=tinyfish
SEARCH_API_KEY=your_key

Full infimium plan generation also needs a local text model:

ollama pull llama3.1

infimium plan --dry-run "your task" works without this model and shows the retrieved code context first.

Connect Your Agent

Cursor, Windsurf, Claude Desktop, and other MCP clients:

{
  "mcpServers": {
    "infimium": {
      "command": "npx",
      "args": ["-y", "infimium", "serve"]
    }
  }
}

Restart the client, then use:

Use Infimium hello_infimium.
Use Infimium get_context before starting.
Use Infimium semantic_code_search to explain this repository.

Infimium normally uses the MCP process working directory. If your client starts it elsewhere, pass project_path once; Infimium remembers the active project and auto-indexes it.

Tools

Tool

What it does

hello_infimium

Confirms the MCP server is healthy.

get_context

Loads tri-zonal YAML context: stable repo anchors, live Git/index state, and active execution.

semantic_code_search

Finds code by meaning and returns symbol signatures first.

expand_symbol

Loads one full implementation only when needed.

query_local_docs

Searches local Markdown, text, HTML, and PDF files.

dep_graph

Shows imports, callers, callees, and HTTP routes for a symbol.

project_memory

Keeps active scratchpad events, compact milestones, and durable project rules across agents.

plan

Builds a grounded implementation plan from code and graph context.

web_search

Searches the web through optional Tinyfish configuration.

fetch_url

Extracts readable Markdown or text from a URL.

shell

Runs allowlisted commands with timeouts and output limits.

CLI

Command

Description

infimium doctor

Run health checks on your dependencies and setup.

infimium status

Show the current status of the index and memory.

infimium --help

Shows all relevant cli commands.

infimium playground

Launch the local web UI to explore index, graph, and memory.

infimium index

Scan and index the current project directory (code, docs, dependencies).

infimium watch

Run the indexer in watch mode to continuously index changes.

infimium get-context

Output the full flattened context as YAML (layer.md).

infimium code-search <query>

Semantically search code and return symbol signatures.

infimium expand-symbol <symbol>

Fetch the full implementation code for a specific symbol.

infimium docs-search <query>

Semantically search local markdown/text documentation.

infimium dep-graph <symbol>

Show dependencies, callers, callees, and route graph.

infimium plan --dry-run "<task>"

Draft an implementation plan based on a given prompt.

infimium remember "<note>"

Add a milestone, progress, or decision to project memory.

infimium resume

Show the active task and recent scratchpad memory events.

infimium memory complete

Compact the active scratchpad into an archived milestone.

infimium memory search "<query>"

Semantically search past project rules and memory ledger.

Use npx infimium ... if you did not install the package globally.

Project Memory

Infimium keeps memory bounded across long sessions:

  • Scratchpad: recent events for the active task.

  • Archive: compact summaries of completed tasks.

  • Ledger: durable decisions, rules, quirks, and unresolved blockers.

Record meaningful progress while working:

infimium remember "Added rate-limit middleware" --type progress --task "Rate limiting"
infimium remember "Use Redis-backed counters in production" --type decision

When the task is complete:

infimium memory complete

Infimium uses the local llama3.1 model when available and falls back to deterministic compaction when it is not. Raw compacted events remain stored locally for seven days before pruning. get_context never calls an LLM or network service.

From a source checkout, build once and run the local playground with:

npm run build
npm run playground

Local Architecture

  • Ollama creates embeddings on your machine.

  • Embedded SQLite stores vectors, index metadata, project memory, and graph edges. No ChromaDB or Docker service is required.

  • Documents use recursive boundary-aware chunks instead of blind fixed slices.

  • JavaScript, TypeScript, Python, and Dart parsers are bundled.

  • Go, Rust, and Java Tree-sitter WASM grammars download on first use and cache in ~/.infimium/grammars/.

  • .gitignore, .infimiumignore, and framework defaults exclude dependencies, build output, Flutter artifacts, caches, and binaries before indexing.

  • semantic_code_search returns signatures; expand_symbol provides full code on demand.

  • Project memory uses session-scoped scratchpads, compact milestone archives, and a versioned semantic ledger.

  • get_context emits static anchors, dynamic repository state, and active execution as separate YAML zones.

Multiple Projects

Run the normal index command from a folder containing related projects:

infimium index

Infimium detects immediate project roots from files such as pubspec.yaml, package.json, Cargo.toml, and go.mod. It shows the detected roles and dependencies, asks once, then creates infimium.workspace.json, indexes every project, and opens Playground.

For unattended setup:

infimium index --yes --no-playground

Use --no-workspace to index only the current project. Workspace projects keep separate memory and Git state while get_context includes balanced summaries and graph relationships from related projects.

Infimium - Playground

Infimium drops the initial payload cost from approximately 1,460 tokens to 8 tokens per symbol. Semantic search returns the AST signature first; the agent requests the full implementation only when it needs it with expand_symbol.

Full implementation   ~1,460 tokens
AST skeleton               ~8 tokens
Initial payload reduction  ~99.5%

These are Playground reference values, not a claim that every function has the same size. Inspect your own indexed repository and compare AST-first retrieval with full-text retrieval locally:

infimium playground

Open Token Economics to see the estimated token difference across your actual indexed symbols.

Privacy

Code, docs, embeddings, memory, graph data, prompts, queries, file paths, and repo names remain local.

Infimium sends privacy-safe anonymous lifecycle telemetry so we can understand setup success:

  • init_started, init_completed

  • doctor_run, doctor_passed

  • index_started, index_completed, setup_completed

  • serve_started, first_tool_call, playground_opened

Telemetry includes an anonymous install ID, Infimium version, OS, Node major version, timestamp, and event name. It never includes code, file paths, repo names, prompts, search queries, memory notes, API keys, or user identity.

Disable it anytime:

infimium telemetry off

or set:

INFIMIUM_TELEMETRY=false

Troubleshooting

FAQ & Common Confusions

Where is layer.md? When you run infimium get-context, it intentionally prints the context directly to your terminal (stdout) so AI agents can read it instantly. It doesn't create a layer.md file in your workspace to avoid clutter. If you want to manually save it to a file, use terminal redirection:

infimium get-context > layer.md

Why does the Playground UI say "Awaiting first agent interaction..."? The CURRENT TASK tracker at the top of the Playground UI is designed to mirror exactly what your AI agent sees. If an agent hasn't queried the context yet (via the get-context tool), it waits. To force it to update, manually run infimium get-context.

How do I format infimium remember? The infimium remember command requires a message and a --type flag (valid types: note, progress, decision, blocker, index, plan). If you also want it to update the active task in the Playground, include the --task flag:

infimium remember "Added rate limiting" --type progress --task "Security Features"

Database is locked

If you see Failed to start Infimium: Database is locked, it means another instance of Infimium is actively holding a lock on the SQLite memory database. This usually happens if you try to run infimium index manually in one terminal while infimium playground or infimium watch is still running in another. Simply stop the running process (Ctrl+C) before running manual commands.

General Setup Issues

Run:

infimium doctor

Every failed check prints one copy-paste fix. If setup still fails, give this prompt to your coding agent:

Set up Infimium in this repository. Install/start Ollama, pull nomic-embed-text,
run npx infimium init, run npx infimium index, and make all six
npx infimium doctor checks pass. Do not commit secrets.

Contributing

See CONTRIBUTING.md. Adding a language starts with a parser fixture and extraction test.

Self-hosting is free forever under the MIT license.

Install Server
A
license - permissive license
B
quality
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.
    Last updated
    118
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A local-first MCP server that provides AI agents with safe codebase access through file discovery, hybrid lexical-semantic search, and project introspection. It features durable local memory and semantic indexing while keeping all data and processing entirely on your local machine.
    Last updated
    74
    61
    5
    MIT

View all related MCP servers

Related MCP Connectors

  • An MCP server that gives your AI access to the source code and docs of all public github repos

  • Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.

  • Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/infimium-ai/infimium-agent'

If you have feedback or need assistance with the MCP directory API, please join our Discord server