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dreamgraph
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dreamgraph

Active·★ 127·NOASSERTION·Updated 2026-10-09

DreamGraph is a cognitive layer for software systems that continuously discovers, verifies, and resolves problems using structured reasoning loops. It augments software development with autonomous reasoning loops, structured knowledge graphs, evidence-based validation, and controlled speculative exploration, ultimately building an abstract representation of system intent.

#agent-memory#ai-agents#autonomous-agents#causal-discovery#causal-inference#claude
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$ Install
$ git clone https://github.com/mikajussila/dreamgraph.git && cd dreamgraph && npm install && npm run build
↗ Visit site★ GitHub
01

Features

01Autonomous reasoning loops and knowledge graphs
02Evidence-based verification with Truth Filter
03Controlled speculative exploration ('dreaming')
04Self-cleaning memory via decay and resolution
05Adversarial security scanning (NIGHTMARE state)
02

Compatibility

Claude Desktop
Claude Desktop
Verified via docs
VS Code
VS Code
Verified via docs
Cursor
Cursor
Verified via docs
Windsurf
Windsurf
Verified via docs
OpenClaw
OpenClaw
Verified via docs
03

Quick start

1
$ git clone https://github.com/mikajussila/dreamgraph.git
2
$ cd dreamgraph
3
$ npm install
4
$ npm run build
04

Use cases

↳Automated system architecture discovery and documentation
↳Continuous security vulnerability detection and remediation
↳Cross-platform application transcompilation from intent abstraction
05

Alternatives

⚡Top VS:
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mmethodz /
dreamgraph
↗

A semantic cognitive engine for software systems. By combining MCP context with iterative "dream cycles," DreamGraph builds an abstract representation of system intent—acting as a universal architect capable of autonomous reasoning, system abstraction, and cross-ecosystem transcompilation.

127
Last commit2w ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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