freelance

mcp
SUMMARY

Graph-based workflow enforcement and persistent memory for AI coding agents. Define structured workflows in YAML. Enforce them at tool boundaries via MCP. Build a persistent knowledge graph that grows with every query and knows when its sources have changed.

README.md

Freelance

Graph-based workflow enforcement and persistent memory for AI coding agents.

Define structured workflows in YAML. Enforce them at tool boundaries via MCP. Build a persistent knowledge graph that grows with every query and knows when its sources have changed.

Quick Start

Claude Code (plugin — recommended)

/plugin marketplace add duct-tape-and-markdown/freelance
/plugin install freelance@freelance-plugins

This installs the MCP server, hooks, and skills automatically. Run /freelance:freelance-init to scaffold your first workflow.

Other clients (Cursor, Windsurf, Cline)

npm install -g freelance-mcp
cd /path/to/your/project
freelance init

Workflows

Workflows are directed graphs defined in YAML. The agent calls MCP tools to traverse them — freelance_start to begin, freelance_advance to move between nodes. Gate nodes block advancement until conditions are met. State lives server-side, so it survives context compaction.

id: my-workflow
version: "1.0.0"
name: "My Workflow"
startNode: start

context:
  taskDone: false

nodes:
  start:
    type: action
    description: "Do the work"
    instructions: "Complete the task and set context.taskDone = true."
    edges:
      - target: review
        label: done

  review:
    type: gate
    description: "Review the work"
    validations:
      - expr: "context.taskDone == true"
        message: "Task must be completed before review."
    edges:
      - target: complete
        label: approved

  complete:
    type: terminal
    description: "Workflow complete"

Node types: action (do work), decision (pick a route), gate (enforce conditions), wait (pause for external signals), terminal (end state).

Subgraph composition — Nodes can push into child workflows with scoped context. contextMap passes parent values in, returnMap passes child values back. The engine manages a stack, so subgraphs can nest.

Expression evaluator — Edge conditions and validations use a safe expression language (context.x == 'value', context.count > 0, boolean operators, nested property access). Validated at load time, evaluated at runtime.

Memory

Freelance includes a persistent knowledge graph backed by SQLite. The agent reads source files, reasons about them, and writes atomic propositions about 1-2 entities. Every proposition records which source files produced it and their content hashes at the time of compilation.

When you query memory, it checks whether the source files on disk still match. Match = valid knowledge. Mismatch = stale. The knowledge base grows with every query but never serves something that's silently out of date.

How it works

Compilation — The agent reads source files, then emits propositions: self-contained claims in natural prose, each about 1-2 named entities. Propositions are deduplicated by content hash. Entity references are resolved by exact match, normalized match, or creation.

Recollection — When a new question comes in, the agent searches existing memory, reads the provenance sources, and identifies the delta — what the sources say about the question that existing propositions don't cover. Only that gap gets compiled. Each query makes the knowledge base denser from a different angle, without re-deriving what's already there.

Source provenance — Every proposition records the specific source files it was derived from, their content hashes, and their mtime at emit time. Validity is checked per-proposition on read: if any of a prop's source files have drifted, the prop is marked stale. Stale propositions aren't hidden — they're returned with a confidence signal so the agent can decide whether to re-verify.

Git branching for free — Switch branches, files change on disk, different propositions light up as valid or stale. Merge the branch, files converge, knowledge converges. No scope model, no branch tracking — just hash checks on read.

Configuration

Memory is enabled by default with zero configuration. The database is stored at .freelance/.state/memory.db.

To customize, add memory settings to your .freelance/config.yml (see Configuration below).

Collections partition propositions into named buckets. All read tools accept an optional --collection filter. Propositions are deduplicated within a collection — the same claim can exist in multiple collections.

Two sealed workflows are auto-injected: memory:compile (read sources, emit propositions, evaluate coverage) and memory:recall (recall, source, compare, fill delta, evaluate). These can be referenced as subgraphs in your own workflows.

Memory tools

Write tools (gated by an active memory:compile or memory:recall traversal):

Tool Description
memory_emit Write propositions with required per-file source attribution

Read tools (available anytime):

Tool Description
memory_browse Find entities by name or kind
memory_inspect Full entity details with propositions, neighbors, and deduped source files
memory_by_source All propositions derived from a specific source file
memory_related Entity graph navigation — co-occurring entities with connection strength
memory_search Full-text search across proposition content (FTS5)
memory_status Knowledge graph health: total, valid, stale counts

Workflow Tools

Tool Description
freelance_list Discover available workflow graphs and active traversals
freelance_start Begin traversing a graph
freelance_advance Move to the next node via a labeled edge
freelance_context_set Update session context without advancing
freelance_inspect Read-only introspection (position, history, or full graph)
freelance_reset Clear traversal and start over
freelance_guide Authoring guidance for writing graphs
freelance_distill Distill a task into a new workflow
freelance_validate Validate graph definitions
freelance_sources_hash Compute hashes for source binding
freelance_sources_check Verify source file availability
freelance_sources_validate Validate source integrity against expectations

Configuration

Freelance uses two config files in .freelance/, both with the same schema:

File Purpose Committed?
config.yml Team-shared settings Yes
config.local.yml Machine-specific overrides (plugin hooks) No (gitignored)

Precedence: CLI flags > env vars > config.local.yml > config.yml > defaults

# .freelance/config.yml
workflows:                          # Additional workflow directories
  - ../shared-workflows/

memory:
  enabled: true                     # Default: true. Set false to disable.
  dir: /path/to/persistent/dir      # Override memory.db location
  ignore:                           # Glob patterns to exclude from indexing
    - "**/node_modules/**"
    - "**/dist/**"
  collections:                      # Partition propositions into named buckets
    - name: default
      description: General project knowledge
      paths: [""]
    - name: spec
      description: Feature specifications
      paths: ["docs/", "specs/"]

Merge rules: arrays (workflows, ignore, collections) concatenate across files. Scalars (enabled, dir) use highest-precedence value.

Use freelance config show to see the resolved configuration and which files contributed.

Use freelance config set-local <key> <value> to modify config.local.yml programmatically (used by plugin hooks).

Workflow directories

Workflows load automatically from these directories (no flags needed):

  1. ./.freelance/ — project-level workflows
  2. ~/.freelance/ — user-level workflows (shared across projects)
  3. Additional directories listed in config.yml or config.local.yml workflows:

Subdirectories are scanned recursively. Later directories shadow earlier ones by graph ID. You can also specify directories explicitly:

freelance mcp --workflows ./my-workflows/

CLI flags:

  • --memory-dir <path> — override memory.db location (highest priority)
  • --no-memory — disable memory entirely

Environment variables:

  • FREELANCE_WORKFLOWS_DIR — colon-separated list of workflow directories (bypasses auto-scan)

MCP setup

Run freelance init to auto-detect your client and generate the config. Supports Claude Code, Cursor, Windsurf, and Cline.

Manual configuration (e.g., .mcp.json for Claude Code):

{
  "mcpServers": {
    "freelance": {
      "command": "freelance",
      "args": ["mcp"]
    }
  }
}

CLI

Every MCP tool has a CLI equivalent. Commands operate directly on the local state store — no daemon or MCP client required.

# Setup
freelance init                            # Interactive project setup
freelance validate <dir>                  # Validate graph definitions
freelance visualize <file>                # Render graph as Mermaid or DOT

# Traversals
freelance status                          # Show loaded graphs and active traversals
freelance start <graphId>                 # Begin a workflow traversal
freelance advance [edge]                  # Move to next node via edge label
freelance context set <key=value...>      # Update traversal context
freelance inspect [traversalId]           # Read-only introspection
freelance reset [traversalId] --confirm   # Clear a traversal

# Memory
freelance memory status                   # Proposition and entity counts
freelance memory browse                   # Find entities by name or kind
freelance memory inspect <entity>         # Full entity details
freelance memory search <query>           # Full-text search
freelance memory related <entity>         # Co-occurring entities
freelance memory by-source <file>         # Propositions from a source file
freelance memory register <file>          # Hash a file (stateless echo)
freelance memory emit <file>              # Write propositions from JSON

# Graph tools
freelance guide [topic]                   # Authoring guidance
freelance distill                         # Get a distill prompt
freelance sources hash <paths...>         # Compute source hashes
freelance sources check <sources...>      # Validate source hashes
freelance sources validate                # Validate all source bindings

# Configuration
freelance config show                     # Display resolved config with sources
freelance config set-local <key> <value>  # Modify config.local.yml

# Server
freelance mcp                             # Start MCP server
freelance completion bash|zsh|fish        # Shell completion script

Run freelance --help for full details and flags.

License

MIT

Reviews (0)

No results found