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Ctxfw – In-memory Tree-sitter AST compactor that cuts coding tokens by 72%

CTXFW, an open-core context firewall and Model Context Protocol gatekeeper from HeuristicoLab, compacts peripheral code in coding-agent context windows by 72.4% by replacing distance-1 and distance-2+ module implementations with interface signatures, type definitions, and functional stubs. The tool reports a 59.5% net context reduction in an internal benchmark against 16 dependencies, cutting 49,096 tokens to 20,014 tokens and eliminating 29,222 tokens, with AST compaction latency of 1,407.96 ms and engine compaction overhead under 5.0 ms. CTXFW installs via pip or pipx and registers as a stdio MCP server in clients including Claude Desktop, Cursor, Windsurf, and Antigravity, and is listed with Grade A compliance on the Glama MCP registry.

read5 min views2 publishedSep 22, 2026
Ctxfw – In-memory Tree-sitter AST compactor that cuts coding tokens by 72%
Image: Michielbdejong (auto-discovered)

The deterministic boundary between probabilistic LLM hallucination and production infrastructure.

InstallationBenchmarksDiagnosticArchitectureEnterprise Governance

Autonomous coding agents (Claude, Gemini, Cursor, Antigravity) consume massive context windows with bloated peripheral dependencies, triggering token exhaustion, context drift, and security degradation.

CTXFW is an open-core context firewall and Model Context Protocol (MCP) gatekeeper. It combines an in-memory polyglot AST pruner with a deterministic axiomatic intake sieve:

Compacts Peripheral Code (72.4% token reduction) : Replaces distance-1 and distance-2+ module implementations with clean interface signatures, type definitions, and functional stubs. 2. Enforces Axiomatic Integrity (ACI : Rejects ungrounded or deficient architecture briefs missing negative invariants ($\ge$ 0.9000)$N \ge 5$ ), bounded variable domains, deterministic state machines, or formal error taxonomies. 3. Zero Telemetry Egress : Guaranteed local execution with zero network telemetry leakage on standard operating mode.

CTXFW operates directly at the syntax tree layer using native polyglot grammars:

Benchmark Dimension Raw Context Ingestion CTXFW Topological Compactor Performance Gain / Impact
Token Consumption 100% (Raw Files) 27.6% (Interface Stubs) 72.4% Bloat Eliminated
Engine Compaction Overhead Native in-memory parser < 5.0 ms
Warm Cache Hit Overhead SQLite WAL semantic cache < 0.8 ms
Stdio Telemetry Egress Unsanitized stdout Pure isolated JSON-RPC Zero Egress (100% Isolated)
Axiom Verification Latency Sieve evaluation < 12.0 ms
CI/CD Pre-Commit Latency Headless git sentry < 85.0 ms

Empirical context reduction metrics generated via ctxfw.resolve_context_bundle running against 16 internal dependencies:

Dimension Raw Context Ingestion CTXFW Topological Sieve Performance Delta
Total Context Size 49,096 tokens 20,014 tokens -59.5% Net Reduction
Tokens Eliminated 0 tokens 29,222 tokens 29,222 bloat tokens pruned
Transitive Deps ( 7,275 tokens 4,763 tokens Up to 91.9% reduction
FinOps Cost Impact Base Cost Reduced by $0.0877 USD / prompt ~$87.70 USD saved per 1K calls
AST Compaction Latency 1,407.96 ms In-memory Tree-Sitter parsing
Attestation Integrity None SHA-256 sealed Strict interface preservation

Topological Hierarchy Breakdown:

ctxfw/cli.py) : 100% Full Implementation preserved.$D_0$ Target ( #

gatekeeper.py, mcp.py) : Implementation truncated to typed stubs ($D_1$ Direct Deps (e.g.... ). Token savings:73% – 86% . #

polyglot.py) : Nominal symbols only. Token savings:$D_{2+}$ Transitive Deps (e.g.91.9% .

Install via pip or isolated environment manager:

pip install ctxfw

Or for global CLI availability using pipx:

pipx install ctxfw

Register the stdio server directly in your IDE or client configuration (claude_desktop_config.json, Cursor, Windsurf, or Antigravity):

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

CTXFW is indexed and verified with Grade A compliance on the official Glama MCP registry:

Direct access to tool inspection, schemas, and live diagnostic telemetry on Glama.

Validate local environment readiness, stdio isolation purity, SQLite WAL concurrency, and Tree-Sitter grammars with a single command:

[PASS]   Python Package & sys.path        ctxfw v3.5.0 loaded cleanly.
[PASS]   MCP stdio Stream Isolation       100% pure JSON-RPC on stdout. Diagnostic logs isolated to stderr.
[PASS]   Global CLI Executable (PATH)     Binary 'ctxfw' found in PATH.
[PASS]   Axiomatic Sieve Engine           Evaluation verified (ACI: 1.0000, Invariants: 5).
[PASS]   SQLite WAL Cache & Concurrency   Journal mode: WAL, Busy timeout: 5000ms.
[PASS]   Polyglot Tree-Sitter Grammars    Initialized language parsers (typescript, go, java).
------------------------------------------------------------------------
CTXFW // 72.4% AST Bloat Eliminated. Zero Telemetry Egress.
Need team-wide budget circuit breakers or multi-node proxy governance?

CTXFW enforces a strict deterministic perimeter dividing probabilistic agent code from the core codebase:

PROBABILISTIC DOMAIN                      DETERMINISTIC PERIMETER
┌───────────────────────┐                  ┌────────────────────────────────────────┐
│  Autonomous AI Agent  │                  │             CTXFW ENGINE               │
│  (Claude / Gemini /   │                  │                                        │
│   Cursor / Antigravity│                  │  ┌──────────────────────────────────┐  │
└───────────┬───────────┘                  │  │   Polyglot AST Topological Engine│  │
            │                              │  │  - Python (ast)                  │  │
            │  Target Context / Brief      │  │  - TypeScript / Go / Java (CST)  │  │
            ▼                              │  │  - Multi-Depth Interface Stubs   │  │
┌───────────────────────┐                  │  └────────────────┬─────────────────┘  │
│ MCP Stdio Interceptor ├─────────────────►│                   │                    │
└───────────────────────┘                  │  ┌────────────────┴─────────────────┐  │
                                           │  │  SQLite WAL High-Concurrency     │  │
                                           │  │  Semantic Cache (<5ms warm hit)  │  │
                                           │  └────────────────┬─────────────────┘  │
                                           │                   ▼                    │
                                           │         [ ACI >= 0.9000? ]             │
                                           │          /              \              │
                                           │       YES                NO            │
                                           │        │                  │            │
                                           │        ▼                  ▼            │
                                           │ ┌──────────────┐   ┌─────────────────┐ │
                                           │ │ VERIFIED     │   │ QUARANTINED     │ │
                                           │ │ SHA-256 Seal │   │ Execution Halt  │ │
                                           │ └──────┬───────┘   └────────┬────────┘ │
                                           └────────┼────────────────────┼──────────┘
                                                    │                    │
                                                    ▼                    ▼
                                           [ Code Generation ]   [ Forensic Report ]
                                           [ & Git Permitted ]   [ Pre-Commit Abort]
  1. Polyglot Tree-Sitter Pruner :
  • Compiles topological dependency trees. Distance 0 (target file) is preserved in full; Distance 1 dependencies retain signatures and docstrings while pruning implementation logic; Distance 2+ dependencies are reduced to compact type stubs.
  • Built-in support for Python ,TypeScript/JavaScript ,Go , andJava .
  1. SQLite WAL High-Concurrency Semantic Cache :
  • Atomic multi-process caching configured with Write-Ahead Logging (PRAGMA journal_mode=WAL ) andbusy_timeout=5000ms , delivering sub-millisecond warm cache hits.
  1. Atomic multi-process caching configured with Write-Ahead Logging (
  2. Axiomatic Sieve Engine :
  • Formal specification gatekeeper evaluating requirements against 5 negative invariants (shall never ), explicit mathematical bounds, deterministic state machines, and a 4-class error taxonomy.
  1. Formal specification gatekeeper evaluating requirements against 5 negative invariants (

Inject perimeter rules, MCP server declarations, and pre-commit sentinels into your workspace:

ctxfw init --global

Automatically configures Google Antigravity, Cursor, and Claude Desktop.

ctxfw init --repo .

Deploys .git/hooks/pre-commit to prevent uncertified code commits lacking an attested specification brief.

For distributed engineering teams requiring centralized policy controls:

  • Team-wide LLM budget circuit breakers : Hard token and dollar thresholds with automatic killswitches.
  • Multi-node reverse proxy governance : Centralized firewall gateways supporting OpenAI and Anthropic streaming SSE endpoints.
  • FinOps Telemetry Ledger : Aggregate tokens saved, cost elusion analytics, and tamper-evident audit trails.

Control Plane & Enterprise Licensing: https://ctxfw.heuristicolab.com

<sub>ENGINEERED BY HEURISTICO LAB // SKUNK WORKS DIVISION</sub>

<sub>HIGH-ASSURANCE DEFENSE SYSTEMS GROUP</sub>

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