Your agents
remember why
AI assistants forget everything between sessions. SourceAnt Memory captures context from your development sessions and serves it back — like a senior developer who's been on the project for years.
AI coding assistants have amnesia
Every session is day one. Every explanation is repeated. Every decision is forgotten.
Context Amnesia
Every session starts from zero. The AI that helped you yesterday has no memory today.
Dangerous Suggestions
"This code looks unused, let me remove it." It wasn't unused — it was a critical workaround.
Wasted Tokens
Re-explaining the same constraints, the same patterns, the same decisions. Every. Single. Time.
Knowledge Silos
The "why" lives in your head, Slack threads, and forgotten PRs. Not where the AI can find it.
Not just storage. Intelligence.
The database is the brain. The magic is in what it knows and how it answers.
Zero-Config Bootstrap
Connect a repo and Memory builds initial context from git history, code patterns, and existing documentation. Value on day one.
Session Capture
Automatically captures and summarizes conversations from your AI coding sessions, extracting decisions, constraints, and rationale.
Semantic Queries
AI tools ask natural questions: "What should I know before touching auth?" Memory returns ranked, relevant context.
AST-Level Linking
Context is linked to code patterns, not just file paths. When code moves, context follows. When patterns change, context validates.
Living Validation
Context that contradicts actual code behavior is flagged automatically. No more stale documentation lying to your AI.
Tool Agnostic
Works with your existing AI coding tools via MCP. One integration, all your AI assistants get the same context.
Powered by your code reviews
Already using SourceAnt for code review? Memory automatically ingests insights from your reviews, turning reviewer knowledge into persistent, queryable context.
Code Review Insights
Context from SourceAnt code reviews flows directly into Memory. Reviewer comments, flagged patterns, and approved decisions become queryable knowledge.
PR Discussions
Important discussions in pull requests are captured and linked to the code they reference. No more digging through closed PRs.
Incident Postmortems
Link incidents to the code that caused them. AI tools get warned before touching code with a history of issues.
"This function has O(n²) complexity. Flagged for refactoring before scaling to enterprise clients."
PR #189 • Reviewed by @alex • 3 weeks ago
"We decided to keep the legacy endpoint for backwards compatibility. Remove after v3 migration completes."
PR #156 • 5 participants • Decision approved
"Error handling pattern approved. Use this as reference for other API endpoints."
PR #201 • Marked as exemplary
From zero to institutional memory
Four steps to give your AI assistants the context they need.
Connect Your Repo
We analyze git history, code patterns, comments, and structure. No manual input required — we bootstrap context from what already exists.
Capture Sessions
As you work with AI tools, Memory captures conversations and extracts key decisions, constraints, and reasoning automatically.
Build Knowledge Graph
Context is stored in a queryable database with semantic understanding. Relationships between decisions, constraints, and code are indexed.
Serve Context via MCP
When any AI tool touches your code, it queries Memory first. Relevant context flows in automatically — no re-explaining needed.
// AI tool queries before modifying code
get_context({
paths: ["src/api/auth/login.ts"],
symbols: ["validateToken"],
intent: "refactoring error handling"
})
// Memory returns ranked, relevant context
{
contexts: [
{ kind: "constraint", relevance: 0.95 },
{ kind: "decision", relevance: 0.82 }
]
}From amnesia to institutional memory
Without Memory
- AI suggests removing "dead" code that's actually critical
- Re-explain the same constraints every session
- Context lives in Slack, PRs, and your head
- New team members repeat old mistakes
- AI treats every session as day one
With Memory
- AI knows why code exists before touching it
- Context flows in automatically via MCP
- Knowledge is queryable, indexed, and validated
- Institutional knowledge persists across people and tools
- AI works like a senior dev who's been here for years
Simple, transparent pricing
Start free, upgrade when you need more.
Free
For individual developers exploring Memory.
- 1 repository
- 50 context objects
- Manual context creation
- Basic MCP server
- Community support
Ready to give your AI memory?
Join the private beta and be among the first to experience AI-assisted development with true institutional knowledge.
No spam. We'll reach out when your spot opens.