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context engineering for top 1%

Version control forcodeagent conversations

  • Branch any agent message.
  • Run parallel agents in isolated worktrees.
  • Preserve every message, commit, and code change.
  • Octopus merge multiple agent branches back cleanly.

Apple Silicon beta build for macOS. Team graph sync is in private access.

10+
agent runs tracked
0
lost branches
1 graph
for the team
live reasoning graph
Deepak
Start Feature
Main Branch
b17c9f1
Deepak
How to implement Auth?
Options: JWT vs Sessions
discussion
Sarah (Security)
Let's explore JWTs
Implementing stateless Token
explore/jwt
Security/Storage Tradeoff
Deepak
Let's try Session Cookies
Setting up Redis store
feature/sessions
Alex (Frontend)
Also, build Login UI
Creating Auth forms
feature/login-ui
Smart Merge Analysis
Deepak
Auth System Ready
Main Branch
b17c9f1
where teams lose time

Parallel agents should not feel chaotic.

Top engineers are already running many agents at once. The expensive part is remembering which branch learned what, where the conflicts came from, and which failed experiment still contains useful context.

codex
codex @ auth-refactor
$ Analyzing src/auth...
> Found 3 issues to fix
ERROR: Port 3000 in use
_
claude
claude @ api-redesign
$ Generating types...
M src/api/types.ts
> 247 changes written
_
kimi
kimi @ ui-polish
$ npm test
FAIL Button.test.tsx
Timeout after 30s...
copilot
copilot @ db-migration
$ git merge main
CONFLICT! schema.prisma
<<<<<<< HEAD
aider
aider @ docs-update
? which agent modified auth.ts?
# Lost in context chaos...
without agentree
reasoning graph
synced
auth prompt
Implement auth safely
codexauth
4 commits
claudeapi
context linked
kimiui
2 commits
Octopus merge
main
Auth ready
5 agents active
11 commits preserved
clean merge
with agentree
core capabilities

What your agent fleet is missing.

Agentree is less about another chat box and more about preserving causality: who asked what, which branch changed code, and what context should move forward.

Visual topology

See every agent, branch, commit, and referenced context in one versioned graph. The work becomes inspectable instead of scattered across shell history.

Isolated worktrees

Every agent gets a clean worktree for its turn. Run parallel experiments without touching main, then branch again from any useful message.

Graph-aware agents via MCP

Agents can query the conversation topology before they act, so they understand the exact reasoning path that led to the current branch.

Team-aware context

Your team shares a single reasoning graph. When one person's agent discovers something, another agent can inherit that context without rediscovering it.

Semantic merge review

Review the intent behind competing agent outputs, then merge the winning changes with context about why each branch exists.

what breaks first

Without a graph, useful agent work disappears.

Great agent work is exploratory. You ask hundreds of questions, try dozens of directions, and keep only the best outcome. Without a graph, those detours either poison the context or disappear into manual forks.

Lost Experiments

Agent fails after 20 minutes. You close the terminal. That entire exploration — every attempt, every insight — gone.

With Agentree: Every session lives in the graph. Failed or successful, nothing disappears. Your next agent inherits what was already tried.

Poisoned Context

Agent hallucinated a bad fix. Now its context window is contaminated. You spend 30 more minutes fighting it instead of starting fresh.

With Agentree: Branch from any message. Agentree parks the failed attempt in its own branch — preserving the lessons.

Blind Duplication

Agent 7 spends 15 minutes discovering the same missing dependency that Agent 4 already found. No one told it.

With Agentree: Route context between agents. Agent 7 sees what Agent 4 already learned — instantly. No wasted tokens, no repeated mistakes.

Team Silos

Your teammate's agent spent an hour exploring auth patterns. You have no idea. Your agent starts from zero, rediscovering the same dead ends.

With Agentree: Shared reasoning graph. See every AI discussion from your team. Branch from any message and continue the exploration where they left off.

operating loop

How work moves through the graph.

Agentree keeps the flow simple: spawn work, observe branches, route context, and merge with the full decision trail in view.

01

Spawn Parallel Agents

Kick off 10 different architectural explorations simultaneously. Agentree provisions isolated Git worktrees for each agent automatically.

02

Observe Topology

Watch the graph grow as agents reason, write code, and hit blockers. You maintain complete visual oversight of the entire distributed system.

03

Route Context

Agent 4 discovered a missing dependency? Route that context node directly into Agent 7's prompt so it doesn't make the same mistake.

04

Smart Merge

The AI evaluates the successful runs, handles the complex merge conflicts between parallel explorations, and cleanly integrates the winning logic into `main`.

private access

Track what you explored. Branch from any message.

Every branch, agent run, and failed attempt stays visible, connected, and reusable across your team.

Download for macOS

Apple Silicon beta build for macOS.