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Deterministic reasoning runtime for AI agents, built on CLIPS via clipspy

Project description

Fathom

A modern Python-first expert system runtime built on CLIPS. Define rules in YAML. Evaluate in microseconds. Zero hallucinations.

PyPI Docs License: MIT Python 3.12+ CI Downloads codecov Discord

Part of the Kraken stack: Fathom (reasoning engine) · Nautilus (policy data broker) · Stargraph (agent-graph framework).

Current version: 0.7.0

License: MIT

Language: Python 3.12+ (primary), Go and TypeScript SDKs in progress

Package Manager: uv

Maintained by: Kraken Networks


Why Fathom?

Every AI agent framework lets agents decide what to do by guessing. For most tasks, that's fine.

For some tasks, guessing is unacceptable:

  • Policy enforcement — "Is this agent allowed to do this?" can't be a maybe.
  • Data routing — "Which databases should this query hit?" can't hallucinate a source.
  • Compliance — "Did this fleet operate within NIST 800-53 controls?" needs a provable answer.
  • Classification — "What clearance level does this data require?" is not a prompt engineering problem.

Fathom provides deterministic, explainable, auditable reasoning using CLIPS — a battle-tested expert system — wrapped in a modern Python library with YAML-first rule authoring.

Install

uv add fathom-rules

Quick Start

from fathom import Engine

# Loads templates/, modules/, functions/, and rules/ from a project directory
engine = Engine.from_rules("policy/")

engine.assert_fact("agent", {
    "id": "agent-alpha",
    "clearance": "secret",
    "purpose": "threat-analysis",
    "session_id": "sess-001",
})

engine.assert_fact("data_request", {
    "agent_id": "agent-alpha",
    "target": "hr_records",
    "classification": "top-secret",
    "action": "read",
})

result = engine.evaluate()
print(result.decision)       # "deny"
print(result.reason)         # "Agent clearance is below the data classification (no read up)"
print(result.duration_us)    # ~90 (microseconds; varies by machine)

See the Getting Started guide for a full walkthrough.

What Ships Today

Core runtime (Python)

  • YAML compiler for templates, rules, modules, and functions
  • Forward-chaining evaluation with rule + module traces
  • Working memory persistence across evaluations within a session
  • Classification-aware operators (below, meets_or_exceeds, dominates, compartments)
  • Temporal operators (count_exceeds, rate_exceeds, changed_within, last_n, distinct_count, sequence_detected)
  • Rule-assertion actions (then.assert + bind) and user-defined Python functions (Engine.register_function)
  • Structured JSON audit log with append-only sinks
  • Ed25519 attestation service for signed evaluation results
  • Fleet reasoning with Redis and Postgres backends for shared working memory

Integrations

  • FastAPI REST server with bearer-token auth and rule-path jailing
  • gRPC server with bearer-token auth (see protos/fathom.proto)
  • MCP tool server (FathomMCPServer) for agent discovery
  • LangChain adapter callback handler
  • CLIfathom validate, fathom compile, fathom test, fathom bench, fathom info, fathom status, fathom verify-artifact, fathom verify-chain, fathom repl
  • Docker sidecar (Debian slim + uv)
  • Prometheus metrics export (/metrics endpoint)
  • Policy Studio — FastAPI + HTMX UI that mounts the REST engine in-process under /api (python -m fathom.studio.app)

Rule packs

  • fathom-owasp-agentic — OWASP Agentic Top 10 mitigations
  • fathom-nist-800-53 — Access control, audit, information flow
  • fathom-hipaa — PHI handling, minimum necessary, breach triggers
  • fathom-cmmc — CMMC Level 2+ controls

SDKs (in progress)

  • fathom-go — REST + gRPC client (packages/fathom-go/)
  • fathom-ts@fathom-rules/sdk v0.1.0 (packages/fathom-ts/); OpenAPI-generated client pending
  • fathom-editor — React visual rule editor (packages/fathom-editor/); stub

Core Primitives

Primitive Purpose CLIPS Construct
Templates Define fact schemas with typed slots deftemplate
Facts Typed instances asserted into working memory working memory
Rules Pattern-matching logic with conditions and actions defrule
Modules Namespace rules with controlled execution order defmodule
Functions Reusable logic for conditions and actions deffunction

Key Differentiator: Working Memory

Unlike stateless policy engines (OPA, Cedar), Fathom maintains working memory across evaluations within a session:

  • Cumulative reasoning — "This agent accessed PII from 3 sources — deny the 4th."
  • Temporal patterns — "Denial rate spiked 400% in 10 minutes — escalate."
  • Cross-fact inference — "Agent A passed data to Agent B, who is requesting external access — violation."

Integration Shapes

As a library

from fathom import Engine
engine = Engine.from_rules("rules/")
result = engine.evaluate()

As a REST sidecar

docker run -p 8080:8080 -v ./rules:/rules kraken/fathom:latest
curl -H "Authorization: Bearer $TOKEN" -X POST localhost:8080/v1/evaluate \
  -d '{"facts": [...], "ruleset": "access-control"}'

As a gRPC sidecar

# protos/fathom.proto — regenerate Go/TS clients from the proto
grpcurl -H "authorization: Bearer $TOKEN" \
  -d '{"facts": [...]}' localhost:50051 fathom.v1.Fathom/Evaluate

As an MCP tool

from fathom.integrations.mcp_server import FathomMCPServer
server = FathomMCPServer(engine)
server.serve()

Documentation

Docs live under docs/ and build with MkDocs Material (Diátaxis information architecture).

Entry points:

Performance Targets

Operation Target
Single rule evaluation < 100µs
100-rule evaluation < 500µs
Fact assertion < 10µs
YAML compilation < 50ms

Related Projects

  • Bosun: Agent governance built on Fathom (fleet analysis, compliance attestation)
  • Nautilus: Intelligent data broker built on Fathom (multi-source routing, classification-aware scoping)
  • Stargraph: Workgraph, AI orchestration framework built on Fathom

Development

git clone https://github.com/KrakenNet/fathom.git
cd fathom
uv sync --all-extras            # --all-extras is required for the full test suite

uv run pytest                   # 1695 tests
uv run ruff check src/ tests/   # lint
uv run mypy src/                # type check
uv run pytest --cov=fathom      # coverage report
uv run mkdocs serve             # docs preview

Run the live REST server locally:

uv run uvicorn fathom.integrations.rest:app --reload

See CONTRIBUTING.md for full development guidelines and CHANGELOG.md for release notes.

Star History

Star History Chart

License

MIT — see LICENSE for details.


Maintained by Kraken Networks · krakennetworks.com · krakn.ai

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