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aleph

Verified Safe

by Hmbown

Overview

Enables AI assistants to analyze documents too large for their context window by providing tools for search, exploration, and computation over massive datasets, implementing a Recursive Language Model (RLM) approach.

Installation

Run Command
aleph

Environment Variables

  • ALEPH_SUB_QUERY_API_KEY
  • ALEPH_SUB_QUERY_URL
  • ALEPH_SUB_QUERY_MODEL
  • ALEPH_SUB_QUERY_BACKEND
  • ALEPH_MAX_TOKENS
  • ALEPH_MAX_COST
  • ALEPH_MAX_ITERATIONS
  • ALEPH_MAX_DEPTH
  • ALEPH_MAX_WALL_TIME_SECONDS
  • ALEPH_MAX_SUB_QUERIES
  • ALEPH_TOOL_DOCS
  • OPENAI_API_KEY
  • OPENAI_BASE_URL
  • ANTHROPIC_API_KEY

Security Notes

The server features a 'best-effort' Python REPL sandbox with robust AST validation, import whitelisting, and blocking of dangerous builtins/dunder access to mitigate code execution risks. Action tools (file I/O, command execution, etc.) are explicitly opt-in via the '--enable-actions' flag and can be further restricted with workspace scoping ('--workspace-root', '--workspace-mode') and confirmation requirements ('--require-confirmation'). However, the inherent nature of running arbitrary Python code and spawning CLI sub-processes (even with precautions like command sanitization and output limits) means it is not a formally hardened sandbox; strong isolation (e.g., containers) is recommended for untrusted input. No obvious hardcoded secrets or malicious patterns were identified.

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Stats

Interest Score90
Security Score7
Cost ClassMedium
Avg Tokens2500
Stars62
Forks7
Last Update2026-01-17

Tags

Unlimited ContextRecursive ReasoningCompute SandboxEvidence TrackingSession Persistence