A structured, persistent reasoning workspace for AI. Provides 20 tools for building thought chains, exploring alternatives through branching, revising earlier thinking, searching reasoning history, and persisting sessions across context window resets and server restarts.
AI's built-in reasoning is ephemeral — when context windows fill, thinking gets compressed or lost. Complex problems need exploration of multiple approaches, backtracking when paths fail, and the ability to resume where you left off. MAXential externalizes reasoning into a workspace that persists, branches, and survives.
11 focused tools for structured thinking, branching, revision, and navigation.
2026-11-08
Stars
—
Tools
—
Uptime
—
Origin
Forked from Anthropic's sequential-thinking MCP server, which provided a single tool with 9 parameters. Its schema included branching parameters (branch_from_thought, branch_id) but had no tools to create, switch, or manage branches — the parameters were effectively inert.
MAXential replaced that single tool entirely and built 20 purpose-specific tools across three releases:
Version
What was built
v2.0
Replaced the single tool with 11 focused tools: core thinking (think, revise, complete), full branch management (branch, switch_branch, list_branches, get_branch, close_branch, merge_branch), and navigation (get_thought, get_history)
Add a thought to the reasoning chain. Thoughts are numbered and persisted automatically.
revise
Revise a previous thought when earlier thinking was flawed or incomplete. The original is preserved with revision history.
complete
Mark the thinking chain complete with a final conclusion.
reset
Clear the current session and start fresh.
Branching
Tool
What it does
branch
Create a new reasoning branch to explore an alternative path without losing the main thread.
switch_branch
Switch context to a different branch, or back to main.
list_branches
List all branches with their status and thought counts.
get_branch
Retrieve complete details of a specific branch.
close_branch
Close a branch with an optional conclusion.
merge_branch
Merge insights from a branch back into main. Strategies: conclusion_only, full_integration, summary.
Navigation
Tool
What it does
get_thought
Retrieve a specific thought by its number.
get_history
Get thought history, optionally filtered by branch.
Organization
Tool
What it does
tag
Add or remove semantic tags on a thought (e.g., hypothesis, evidence, decision, finding).
search
Search thoughts by content text or by tags.
export
Export the thinking chain as markdown or JSON.
visualize
Generate ASCII or Mermaid diagrams of the thought structure and branches.
Session Persistence
Tool
What it does
session_save
Name and describe the current session for later retrieval.
session_load
Restore a saved session — all thoughts, branches, and tags are loaded back into memory.
session_list
Browse available sessions, most recently updated first.
session_summary
Generate a compressed summary of a session for token-efficient context loading.
Sessions are automatically persisted to SQLite as you work. Every think, branch, tag, and revise call writes through to disk in real time. Sessions survive server restarts, context window resets, and new conversations — pick up where you left off.
What the original provides vs. what MAXential provides
Capability
Anthropic sequential-thinking
MAXential Thinking
Interface
1 tool, 9 parameters
20 focused tools
Branching
Parameters in schema, no implementation
Full lifecycle: create, switch, list, inspect, merge, close
Revision
Not supported
Revise any thought, original preserved with history
Persistence
None — lost on server restart
SQLite — survives restarts, context resets, new conversations
Retrieve any thought by number, browse filtered history
Browsing session history
Session data is stored in a standard SQLite database at .maxential/thinking.db. There are several ways to browse past reasoning sessions:
Through the tools themselves — ask AI to use session_list to browse sessions, session_load to restore one, or session_summary for a compressed overview. AI can format, search, and summarize session content conversationally.
With a SQLite browser — open .maxential/thinking.db in any SQLite viewer (VS Code/VSCodium extensions, DB Browser for SQLite, or similar). The schema is straightforward:
Table
Contains
sessions
Session ID, name, description, status, timestamps
thoughts
Every thought with its number, content, branch, revision links
branches
Branch metadata, status, conclusions, merge history
tags
Semantic tags attached to thoughts
From the terminal:
sqlite3 .maxential/thinking.db "SELECT name, status, datetime(created_at/1000, 'unixepoch', 'localtime') as created FROM sessions ORDER BY updated_at DESC LIMIT 10;"
You don't call these tools directly — you ask your AI to use MAXential thinking, and it calls the tools as part of its reasoning. Here are examples of what that looks like in practice.
Working through a decision:
use maxential thinking for this - should we use REST or GraphQL for the new API?
AI builds a thought chain analyzing the question, branches to explore each approach separately, adds thoughts with tradeoffs, merges the findings, and reaches a conclusion. The entire reasoning process is numbered, structured, and persisted.
Exploring multiple approaches:
think through the auth redesign using maxential - I want to see branches for JWT, session tokens, and OAuth
AI creates three branches, reasons through each approach independently, then merges the insights back to compare. You can ask it to switch between branches, close dead ends, or dig deeper into a specific path.
Resuming previous thinking:
load up that session where you analyzed our database optimization options
AI browses saved sessions, finds the match, restores it with all thoughts, branches, and tags intact, and continues reasoning from where it left off — even across different conversations.
Reviewing past reasoning:
search your maxential thinking history for anything tagged as a decision
AI searches across the session's tagged thoughts and returns the results. You can also ask it to export the full chain as markdown, or generate a diagram of the thought structure.
Getting a quick summary:
give me a summary of that session - just the key findings, keep it short
AI generates a compressed summary of the session's conclusions, tagged highlights, and branch results — useful for loading context without replaying the full chain.
Development
npm install # Install dependencies
npm run build # Build TypeScript
npm run watch # Watch mode
npm test # Run tests with coverage
npm run test:unit # Unit tests only
npm run test:integration # Integration tests only
