Give your AI teamlong-term memory.
Stop losing engineering context. Start building an organization that gets smarter with every commit, incident, and architecture decision.
142K+
Memories Indexed
48
Repos Connected
3ms
Avg Retrieval
99.9%
Uptime
AI agents have no memory.
Today's AI coding tools are brilliant — but amnesiac. They can't remember what happened yesterday, last month, or last year.
AI forgets architecture
Every new session starts blank. Your AI assistant has no memory of why services were split, why databases were chosen, or what tradeoffs were made.
Context disappears
Between chat sessions, sprints, and team members — critical engineering context evaporates. The 'why' behind every decision is lost forever.
Knowledge is scattered
Architecture lives in Notion. Bugs live in Jira. Decisions live in Slack. No AI can reason across this fragmented landscape.
History becomes invisible
After 6 months, no one remembers why that refactor happened, what broke in the incident, or which PR introduced the regression.
87%
of engineering context lost within 3 months
4.2h
wasted re-discovering decisions per week
23%
of bugs caused by forgotten context
$0
persistent memory in existing AI tools
Three steps to infinite memory.
From raw repository data to AI-ready organizational memory in minutes — fully automated.
STEP 01
INGEST
Connect your engineering universe
LawdMemory ingests every signal from your development workflow — from git commits to incident postmortems.
$ lawdmemory connect github \
--org acme-corp \
--repos "*" \
--history 365d
▸ scanning 48 repositories ...
✓ ingested 142,418 memoriesSTEP 02
UNDERSTAND
Build the knowledge graph
AI extracts semantic meaning, temporal relationships, and causal chains from every engineering signal.
// extracted automatically
{
type: "decision",
subject: "Redis",
reason: "Session bottleneck",
refs: ["INC-047", "a3f92b"],
impact: "↑ 4x throughput"
}STEP 03
RECALL
Instant engineering intelligence
AI agents get instant access to historical context, architectural decisions, and relevant incidents — in real time.
const memory = await lawdmemory.recall({
query: "why was Redis added?",
depth: 3,
include: ["commits", "incidents"]
})
▸ retrieved in 3ms · 96% recallYour knowledge as a living graph.
Every commit, incident, decision, and AI agent interaction becomes a node in your persistent organizational memory.
Ask anything about your engineering history.
LawdMemory retrieves temporal, causal, and semantic context in milliseconds.
Sample Queries
Everything your AI team needs to remember.
A complete memory layer that makes your engineering organization smarter over time.
Temporal Memory Engine
v1.0Track how architectural decisions, code patterns, and team knowledge evolve over time with millisecond precision.
Semantic Code Intelligence
v1.0Understand the meaning behind your codebase — not just the syntax. Map intent, patterns, and implicit contracts.
Architecture Timeline
v1.0Visualize how your system architecture evolved — from monolith to microservices, from single DB to distributed.
Incident Recall
v1.0Every incident, postmortem, and fix becomes searchable memory. Never fight the same fire twice.
Agent Context Injection
v1.1Automatically inject relevant historical context into your AI agents before every task — no manual prompting required.
Repository Knowledge Graph
v1.0Interactive knowledge graph connecting repositories, services, teams, and decisions in a unified visual layer.
Persistent AI Context
v1.1AI agents retain context between sessions, across repositories, and even across teams — indefinitely.
Engineering Decision Tracking
v1.2Automatically extract and index every significant engineering decision from PRs, issues, and docs.
Real-time memory intelligence.
Watch your organizational knowledge grow, monitor retrieval performance, and track agent collaboration.
Knowledge Growth
total memories indexed / month
Repository Complexity
knowledge nodes & edges per repo
Memory Retrieval Latency
p50 / p95 / p99 (ms)
Agent Collaboration Activity
memory queries by agent / week
Build on LawdMemory.
Fully open API. Connect any agent, any data source, any workflow.
// Claude agent with LawdMemory
import { LawdMemory } from "@lawdmemory/mcp";
const mcp = new LawdMemory({ org: "acme-corp" });
const agent = new ClaudeAgent({
tools: mcp.tools, // 25 memory tools
memory: mcp.recall, // auto-inject context
});
await agent.run("Why is Redis in the stack?");Deploy in under a minute.
Self-host, run on our cloud, or use the managed MCP server. Connect your first repo with one command.