LongMemory
Memory server
Created by CaviraOSS
Published in CaviraOSS/LongMemory. Publisher page
4,573 GitHub stars
What it is
LongMemory Hydrograph TypeScript package: library, CLI, self-hosted API server, and benchmark harness.
AutoGineer overview, from the brain’s own files
LongMemory is a cognitive memory engine designed to provide AI agents with durable, governed, and temporal recall. Unlike standard RAG pipelines that rely on simple vector similarity, LongMemory utilizes a Hydrograph substrate to manage immutable nodes, executable edges, and temporal truth. It supports complex recall modes including strict, historical, associative, and world-grounded retrieval. The system is built for local-first deployment using SQLite, offering a self-hosted API server, CLI, and native integrations for various agent frameworks, IDEs, and automation tools. It enforces governance policies across projects, users, and teams, ensuring that memory remains grounded, explainable, and context-aware.
How it works
Memory model: LLM wiki
AutoGineer overview, from the brain’s own files
LongMemory operates as a memory server that stores data in a local SQLite database. It ingests events, documents, and session data into a Hydrograph structure. When an agent needs information, the system performs recall based on specific modes—such as strict, historical, or associative—to retrieve relevant, token-bounded context. The engine supports governance by scoping memory to specific projects, tenants, or users. It provides an API for agents to interact with this memory, and includes tools for maintenance, such as decay and reinforcement, to manage the lifecycle of stored information.
| Folder | Role | Files |
|---|---|---|
| .github | agent-config | 13 |
| docs | docs | 34 |
| packages | source-code | 7 |
| src | source-code | 340 |
| tools | scripts | 5 |
| .agents | folder | 1 |
| .do | folder | 1 |
| apps | folder | 19 |
| benchmarks | folder | 32 |
| dashboard | folder | 34 |
| integrations | folder | 47 |
Requirements
Apps: Docker
Runtimes: Node.js >=20
Databases: SQLite
API keys (by name): AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AZURE_DEVOPS_TOKEN, BITBUCKET_TOKEN, GEMINI_API_KEY, GITHUB_TOKEN, GITLAB_TOKEN, GOOGLE_ACCESS_TOKEN, LINEAR_API_KEY, LONGMEMORY_API_KEY, MICROSOFT_GRAPH_TOKEN, NOTION_API_KEY, NVIDIA_API_KEY, OM_API_KEY, OM_GEMINI_API_KEY, OM_OPENAI_API_KEY, OM_SIRAY_API_TOKEN, OPENAI_API_KEY, SIRAY_API_TOKEN, SLACK_BOT_TOKEN
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Google Antigravity, Kiro, OpenCode, Amp, Roo Code, Cline, JetBrains Junie, Devin (ex-Windsurf)
Set it up
This brain runs code automatically: 1 script. Review Makefile before opening the folder in Claude Code. No step below turns a hook on for you.
Makefile:corepack enable; pnpm install --frozen-lockfile
- Not scanned by AutoGineerThe author’s README also describes installing it with Docker Compose. Read its install section: AutoGineer did not scan that path. https://github.com/CaviraOSS/LongMemory/blob/aec98ced33a7586a2fcd198a04bc38b5590750c4/README.md#2-run-as-a-service
- Not scanned by AutoGineerThe author’s README also describes installing it from a clone of its repository. Read its install section: AutoGineer did not scan that path. https://github.com/CaviraOSS/LongMemory/blob/aec98ced33a7586a2fcd198a04bc38b5590750c4/README.md#2-run-as-a-service
Created by CaviraOSS. Published in CaviraOSS/LongMemory. Licence: Apache License 2.0.
Usage
AutoGineer overview, from the brain’s own files
- Install as a TypeScript library for in-memory or SQLite-backed agent memory.
- Deploy as a self-hosted API server using Docker or Docker Compose.
- Use the CLI to ingest data, manage project context, or perform maintenance tasks.
- Connect to agent hosts via MCP (Model Context Protocol) for seamless integration.
- Use the Python SDK to interact with the memory server from Python-based agents.
- Visualize and manage memory through the provided Next.js dashboard or VS Code extension.
- “What was the deployment region in January?”
- The agent uses historical recall mode with a specified valid_time to retrieve the correct configuration from that period.
- “Prepare the next release.”
- The agent retrieves project context, including architecture notes, open tasks, and relevant code facts, to assist with release planning.
Documentation by CaviraOSS
<!-- __ __ ___ / / ____ ____ ____ _/ |/ /__ ____ ___ ____ _______ __ / / / __ \/ __ \/ __ `/ /|_/ / _ \/ __ `__ \/ __ \/ ___/ / / / / /___/ /_/ / / / / /_/ / / / / __/ / / / / / /_/ / / / /_/ / /_____/\____/_/ /_/\__, /_/ /_/\___/_/ /_/ /_/\____/_/ \__, / /____/ /____/ cavira oss (c) 2026 - nullure (c) 2026 ========================================================== file : README.md usage : introduces LongMemory, its architecture, integrations, and deployment options -->
LongMemory
Durable, temporal, governed memory for AI agents. Not just RAG. Not just a vector database. Local-first and self-hosted.
Image: npm Image: PyPI Image: VS Code Image: Container Image: License
LongMemory is a cognitive memory engine for LLM applications and autonomous agents.
Durable local-first storage with SQLite
Immutable content, provenance, and temporal truth
Strict, historical, associative, grounded, and multilingual recall
Explainable evidence selection and token-bounded context
Governed project memory, Skills, Chat Memory, LLM-Wiki, and CodeGraph
One TypeScript engine across npm, CLI, HTTP, MCP, dashboard, and VS Code
Native integrations for agent hosts, automation tools, and Python frameworks
Your model stays stateless. Your application stops being amnesiac.
1. Use It in 10 Seconds
Install as a library
npm install longmemoryimport { createMemory } from 'longmemory';
const memory = await createMemory();
await memory.ingest({
user_id: 'alice',
text: 'I prefer TypeScript for backend services',
});
const result = await memory.recall({
text: 'What language does Alice prefer?',
mode: 'strict',
});
console.log(result);
await memory.close();No service or external database is required for in-memory use.
For optional evidence-grounded answers with your own model, use the exported
answer_from_evidence adapter. It accepts authorized evidence, validates cited
excerpts, and makes at most one model call; ordinary recall is unchanged.
See docs/answering.md for policies, limits, and integration.
Persist with SQLite
const memory = await createMemory({
store: 'sqlite',
db_path: './longmemory.db',
tenant_id: 'acme',
user_id: 'alice',
});Reopening the same database restores nodes, worlds, entities, edges, temporal history, grounding, and lifecycle state.
Install the CLI
npm install --global longmemory
longmemory init
longmemory recall "current project priorities" --mode associativeCall a self-hosted server from Python
pip install longmemory-sdkfrom longmemory import LongMemory
memory = LongMemory(
"http://127.0.0.1:7331",
api_key="change-me",
user_id="alice",
)
memory.ingest("I prefer TypeScript")
result = memory.recall("What language do I prefer?", mode="strict")The Python package is a zero-dependency HTTP client. The Hydrograph engine remains in the self-hosted TypeScript service. See docs/python-sdk.md.
2. Run as a Service
From source
git clone https://github.com/CaviraOSS/LongMemory.git
cd LongMemory
corepack enable
pnpm install --frozen-lockfile
pnpm build
pnpm startThe API listens on http://127.0.0.1:7331 by default.
Docker
docker run --rm \
-p 7331:7331 \
-v longmemory-data:/data \
-e LONGMEMORY_API_KEY=change-me \
ghcr.io/caviraoss/longmemory:latestDocker Compose
cp .env.example .env
docker compose up --build -d longmemoryInclude the dashboard:
docker compose --profile ui up --build -dAPI and MCP:
http://127.0.0.1:7331Dashboard:
http://127.0.0.1:3000Health:
http://127.0.0.1:7331/health
3. Why LongMemory
Most systems called memory are retrieval pipelines:
Split text into chunks.
Embed the chunks.
Return the nearest vectors.
That does not establish what was true at a particular time, whether a new fact superseded an old one, which source is authoritative, who may see it, or why a result belongs in context.
LongMemory models those concerns directly:
Temporal truth: recorded time and valid time are separate.
Immutable memory: content, vectors, hashes, and provenance are not rewritten by recall or decay.
Executable graph: typed relationships participate in recall and explanation.
Governance: project, tenant, user, team, role, agent, task, and framework scope are enforced.
Lifecycle: deterministic decay, explicit reinforcement, consolidation, compression, and reconsolidation.
Evidence: recall is bounded by relevance, contradictions, grounding, permissions, and token cost.
See Why.md for the design rationale.
4. Recall Modes
const strict = await memory.recall({
text: 'What is the current deployment region?',
mode: 'strict',
});
const historical = await memory.recall({
text: 'What was the deployment region in January?',
mode: 'historical',
valid_time: Date.UTC(2026, 0, 15),
});
const associative = await memory.recall({
text: 'Incidents related to the payment migration',
mode: 'associative',
});
const grounded = await memory.recall({
text: 'Which production endpoint is currently live?',
mode: 'world_grounded',
});Strict recall applies temporal, contradiction, contract, confidence, and grounding gates. Historical recall preserves superseded truth. Associative recall follows semantic, lexical, entity, activation, and graph signals. World-grounded recall requires current external evidence.
5. Features
Hydrograph memory substrate with immutable nodes, executable edges, worlds, entities, facets, and traces.
Temporal reasoning with point-in-time truth, event ordering, supersession, and stale-evidence controls.
Multilingual memory with script detection, code switching, transliteration, and cross-language embeddings.
Project memory for architecture, decisions, tasks, conventions, failures, handoffs, and code impact.
Governed assets for Chat Memory, Skills, LLM-Wiki, and CodeGraph with lifecycle and ACL policy.
Session porter for Claude Code, Codex, OpenCode, Gemini CLI, Copilot Chat, Cline, and raw harness logs.
Connectors for repositories, local files, Markdown, web content, feeds, cloud documents, and provider APIs.
Embeddings through OpenAI-compatible APIs, Gemini, AWS Bedrock, Ollama, Siray, and local HTTP models.
Operational surfaces through HTTP, MCP, dashboard, VS Code, n8n, and framework-native MCP clients.
Auditable benchmarks for LongMemEval, LoCoMo, BEAM, retrieval quality, temporal behavior, and latency.
6. MCP and Agent Integrations
Start local stdio MCP:
longmemory mcp --db .longmemory/project.db --project currentExpose authenticated Streamable HTTP MCP:
LONGMEMORY_API_KEY=change-me longmemory serve --mcp-httpLongMemory exposes 13 high-level governed tools plus readable resources and agent workflow prompts. Tool arguments cannot override server-bound runtime identity.
Installable integrations include:
Claude Code plugin
Codex and ChatGPT desktop plugin
Gemini CLI extension
Agent Plugins 1.0 bundle for OpenClaw and compatible hosts
n8n community node usable as an AI Agent tool
Cline, Continue, and LibreChat configuration packs
Dify and Flowise native MCP setup
CrewAI, AutoGen, LangGraph/LangChain, OpenAI Agents SDK, and PydanticAI examples
See integrations/README.md and docs/mcp.md.
7. Temporal and Project Memory
import { createProjectMemory } from 'longmemory';
const projects = await createProjectMemory({
tenant_id: 'cavira',
organization_id: 'CaviraOSS',
project_id: 'longmemory',
name: 'LongMemory',
store: 'sqlite',
db_path: './longmemory.db',
});
await projects.ingestProjectEvent('longmemory', {
kind: 'decision',
topic: 'persistence',
text: 'Use SQLite for local-first persistence',
source_type: 'architecture_note',
});
const context = await projects.getProjectContext('longmemory', 'prepare the next release');Project context combines relevant architecture, current decisions, open tasks, failures, code facts, matched Skills, conflicts, and governed asset loadouts under one token budget.
8. CLI
longmemory init
longmemory tui
longmemory status --memories 20 --json
longmemory ingest "Remember the rollback procedure" --type procedure
longmemory recall "What is the rollback procedure?" --mode associative
longmemory memory list --limit 50
longmemory project context "prepare the next release"
longmemory maintenance decay --all
longmemory maintenance reinforce <memory-id>
longmemory skill match "run the release checklist" --agent reviewer
longmemory asset loadout "prepare the release" --agent reviewer --framework codex
longmemory code impact createMemory
longmemory detect
longmemory session discover --from claude-code
longmemory port --from claude-code --to longmemory --all
longmemory session wiki --from gemini-cli --all --name "Project knowledge"
longmemory serve --mcp-httpFinite commands emit stable JSON outside a TTY or when --json is supplied. The session porter reads supported coding-agent stores without modifying them. See docs/cli.md.
9. Dashboard and VS Code
The Next.js dashboard provides health, memory browsing, ingestion, search, project selection, activity, decay, settings, timelines, and memory-aware chat through a same-origin API proxy.
pnpm --dir dashboard build
pnpm --dir dashboard startThe VS Code extension provides an activity-bar browser, status bar, recall, project context, explanation, reinforcement, explicit decay, session import, and reviewed AI-change capture.
pnpm extension:packageThe generated package is apps/vscode-extension/longmemory-vscode-0.2.0.vsix.
10. Architecture
graph TB
INPUT[Events, documents, sessions] --> INGEST[Immutable ingest pipeline]
INGEST --> GRAPH[(Hydrograph)]
GRAPH --> STRICT[Strict and historical recall]
GRAPH --> ASSOC[Associative recall]
GRAPH --> GROUND[World-grounded recall]
GRAPH --> PROJECT[Project memory and governed assets]
GRAPH --> SQLITE[(SQLite)]
STRICT --> CONTEXT[Explainable bounded context]
ASSOC --> CONTEXT
GROUND --> CONTEXT
PROJECT --> MCP[MCP tools, resources, prompts]
CONTEXT --> API[Library, CLI, HTTP]
MCP --> AGENTS[Agents, IDEs, automation]
API --> UI[Dashboard and VS Code]Read ARCHITECTURE.md and docs/architecture.md for subsystem details.
11. Deployment Options
| Platform | Configuration | What it deploys |
|---|---|---|
| Docker | Dockerfile | API and Streamable HTTP MCP |
| Docker Compose | docker-compose.yml | API/MCP plus optional dashboard |
| Heroku | app.json | Containerized API/MCP |
| Railway | railway.json | Containerized API/MCP |
| Render | render.yaml | API/MCP with persistent disk |
| DigitalOcean | .do/spec.yaml | App Platform API/MCP service |
| Vercel | vercel.json | Dashboard; configure LONGMEMORY_API_URL |
| Windows | start-longmemory.ps1 | Background local API/MCP process |
For hosted API deployments, set LONGMEMORY_API_KEY, mount persistent storage at /data, and terminate TLS at the platform edge. Vercel hosts only the stateless dashboard and requires a separately deployed LongMemory API.
12. Benchmarks
pnpm bench
pnpm bench:ci
pnpm bench:fullThe benchmark harness publishes explicit manifests, dataset completion, evidence metrics, answer judgments, temporal categories, latency percentiles, and N/A reasons. Official scorecards fail closed on incomplete datasets or semantic embedding fallback. See benchmarks/README.md.
13. Migration
Import supported SQLite, JSON, or JSONL memory:
longmemory migrate \
--from ./legacy.db \
--to ./longmemory.db \
--report ./migration-report.jsonImport coding-agent conversations as governed Chat Memory:
longmemory port --from codex --to longmemory --allSee MIGRATION.md and docs/migration.md.
Legacy package migration:
npm uninstall openmemory-js && npm install longmemory
pip uninstall openmemory-py && pip install longmemory-sdkopenmemory-js@2 and openmemory-py@2 are forwarding bridges for existing installations. New applications should use longmemory and longmemory-sdk directly. PyPI's unrelated longmemory name is owned by another project, so the official distribution is longmemory-sdk while the import remains longmemory.
14. Release and Operations
corepack enable
pnpm install --frozen-lockfile
pnpm release:check
pnpm pack
pnpm extension:packagerelease:check validates branding, types, integration manifests, the benchmark smoke gate, the root build, extension build, and dashboard production build.
Useful Make targets:
make install
make build
make check
make docker-up
make dashboard15. Security
LongMemory is local-first, but network deployment still requires explicit controls:
Protect API and MCP routes with
LONGMEMORY_API_KEY.Restrict allowed origins and terminate TLS at the edge.
Keep connector and embedding credentials outside repository files.
Treat recalled content as untrusted evidence, not authorization.
Preserve server-bound user, project, agent, and framework identity.
Report vulnerabilities privately as described in SECURITY.md.
16. Contributing
Issues and pull requests are welcome. Read CONTRIBUTING.md, GOVERNANCE.md, and CODE_OF_CONDUCT.md before contributing.
Discussions: https://github.com/CaviraOSS/LongMemory/discussions
Changelog: CHANGELOG.md
17. License
LongMemory is licensed under the Apache License 2.0. The separately published n8n community node uses MIT as required by n8n's strict package validator.
Contributors
<!-- readme: contributors -start -->
<table> <tbody> <tr> <td align="center"> <a href="https://github.com/nullure"> <img src="https://avatars.githubusercontent.com/u/81895400?v=4" width="100;" alt="nullure"/> <br /> <sub><b>Morven</b></sub> </a> </td> <td align="center"> <a href="https://github.com/dontbanmeplz"> <img src="https://avatars.githubusercontent.com/u/59851616?v=4" width="100;" alt="dontbanmeplz"/> <br /> <sub><b>Chis</b></sub> </a> </td> <td align="center"> <a href="https://github.com/amihos"> <img src="https://avatars.githubusercontent.com/u/35190548?v=4" width="100;" alt="amihos"/> <br /> <sub><b>Hossein Amirkhalili</b></sub> </a> </td> <td align="center"> <a href="https://github.com/DKB0512"> <img src="https://avatars.githubusercontent.com/u/23116307?v=4" width="100;" alt="DKB0512"/> <br /> <sub><b>DKB</b></sub> </a> </td> <td align="center"> <a href="https://github.com/stevo1403"> <img src="https://avatars.githubusercontent.com/u/34807365?v=4" width="100;" alt="stevo1403"/> <br /> <sub><b>Stephen Adebayo</b></sub> </a> </td> <td align="center"> <a href="https://github.com/mameikagou"> <img src="https://avatars.githubusercontent.com/u/116348059?v=4" width="100;" alt="mameikagou"/> <br /> <sub><b>mrlonely</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/haosenwang1018"> <img src="https://avatars.githubusercontent.com/u/167664334?v=4" width="100;" alt="haosenwang1018"/> <br /> <sub><b>Sense_wang</b></sub> </a> </td> <td align="center"> <a href="https://github.com/recabasic"> <img src="https://avatars.githubusercontent.com/u/102372274?v=4" width="100;" alt="recabasic"/> <br /> <sub><b>Elvoro</b></sub> </a> </td> <td align="center"> <a href="https://github.com/zfaustk"> <img src="https://avatars.githubusercontent.com/u/4340287?v=4" width="100;" alt="zfaustk"/> <br /> <sub><b>Clio</b></sub> </a> </td> <td align="center"> <a href="https://github.com/suyua9"> <img src="https://avatars.githubusercontent.com/u/273297082?v=4" width="100;" alt="suyua9"/> <br /> <sub><b>suyua9</b></sub> </a> </td> <td align="center"> <a href="https://github.com/vincenzopalazzo"> <img src="https://avatars.githubusercontent.com/u/17150045?v=4" width="100;" alt="vincenzopalazzo"/> <br /> <sub><b>Vincenzo Palazzo</b></sub> </a> </td> <td align="center"> <a href="https://github.com/msris108"> <img src="https://avatars.githubusercontent.com/u/43115330?v=4" width="100;" alt="msris108"/> <br /> <sub><b>Sriram M</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/fparrav"> <img src="https://avatars.githubusercontent.com/u/9319430?v=4" width="100;" alt="fparrav"/> <br /> <sub><b>Felipe Parra</b></sub> </a> </td> <td align="center"> <a href="https://github.com/DoKoB0512"> <img src="https://avatars.githubusercontent.com/u/123281216?v=4" width="100;" alt="DoKoB0512"/> <br /> <sub><b>DoKoB0512</b></sub> </a> </td> <td align="center"> <a href="https://github.com/whiterabb17"> <img src="https://avatars.githubusercontent.com/u/90134688?v=4" width="100;" alt="whiterabb17"/> <br /> <sub><b>MistrHyde</b></sub> </a> </td> <td align="center"> <a href="https://github.com/octo-patch"> <img src="https://avatars.githubusercontent.com/u/266937838?v=4" width="100;" alt="octo-patch"/> <br /> <sub><b>Octopus</b></sub> </a> </td> <td align="center"> <a href="https://github.com/therexone"> <img src="https://avatars.githubusercontent.com/u/27387245?v=4" width="100;" alt="therexone"/> <br /> <sub><b>Ayush Singh</b></sub> </a> </td> <td align="center"> <a href="https://github.com/kishan0725"> <img src="https://avatars.githubusercontent.com/u/36665975?v=4" width="100;" alt="kishan0725"/> <br /> <sub><b>Kishan Lal</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/pc-quiknode"> <img src="https://avatars.githubusercontent.com/u/126496711?v=4" width="100;" alt="pc-quiknode"/> <br /> <sub><b>Peter Chung</b></sub> </a> </td> <td align="center"> <a href="https://github.com/muhammad-fiaz"> <img src="https://avatars.githubusercontent.com/u/75434191?v=4" width="100;" alt="muhammad-fiaz"/> <br /> <sub><b>Muhammad Fiaz</b></sub> </a> </td> <td align="center"> <a href="https://github.com/jasonkneen"> <img src="https://avatars.githubusercontent.com/u/502002?v=4" width="100;" alt="jasonkneen"/> <br /> <sub><b>Jason Kneen</b></sub> </a> </td> <td align="center"> <a href="https://github.com/Hchunjun"> <img src="https://avatars.githubusercontent.com/u/11238835?v=4" width="100;" alt="Hchunjun"/> <br /> <sub><b>shan</b></sub> </a> </td> <td align="center"> <a href="https://github.com/naabakkcrypto"> <img src="https://avatars.githubusercontent.com/u/258882739?v=4" width="100;" alt="naabakkcrypto"/> <br /> <sub><b>Naabakk</b></sub> </a> </td> <td align="center"> <a href="https://github.com/mikemikimike"> <img src="https://avatars.githubusercontent.com/u/186855910?v=4" width="100;" alt="mikemikimike"/> <br /> <sub><b>mikemikimike</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/mgajewskik"> <img src="https://avatars.githubusercontent.com/u/47600161?v=4" width="100;" alt="mgajewskik"/> <br /> <sub><b>Maciej Gajewski</b></sub> </a> </td> <td align="center"> <a href="https://github.com/ajitam"> <img src="https://avatars.githubusercontent.com/u/672661?v=4" width="100;" alt="ajitam"/> <br /> <sub><b>Matija Urh</b></sub> </a> </td> <td align="center"> <a href="https://github.com/machj8968-lab"> <img src="https://avatars.githubusercontent.com/u/274563644?v=4" width="100;" alt="machj8968-lab"/> <br /> <sub><b>machj8968-lab</b></sub> </a> </td> <td align="center"> <a href="https://github.com/buyua9"> <img src="https://avatars.githubusercontent.com/u/274236111?v=4" width="100;" alt="buyua9"/> <br /> <sub><b>buyua9</b></sub> </a> </td> <td align="center"> <a href="https://github.com/aziham"> <img src="https://avatars.githubusercontent.com/u/94932043?v=4" width="100;" alt="aziham"/> <br /> <sub><b>Hamza</b></sub> </a> </td> <td align="center"> <a href="https://github.com/GPT-AGI"> <img src="https://avatars.githubusercontent.com/u/181050363?v=4" width="100;" alt="GPT-AGI"/> <br /> <sub><b>Ting Zhang</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/RockinPaul"> <img src="https://avatars.githubusercontent.com/u/3741448?v=4" width="100;" alt="RockinPaul"/> <br /> <sub><b>Paul Zarudnev</b></sub> </a> </td> <td align="center"> <a href="https://github.com/oantoshchenko"> <img src="https://avatars.githubusercontent.com/u/1749531?v=4" width="100;" alt="oantoshchenko"/> <br /> <sub><b>Oleksandr Antoshchenko</b></sub> </a> </td> <td align="center"> <a href="https://github.com/lwsinclair"> <img src="https://avatars.githubusercontent.com/u/2829939?v=4" width="100;" alt="lwsinclair"/> <br /> <sub><b>Lawrence Sinclair</b></sub> </a> </td> <td align="center"> <a href="https://github.com/jungdaesuh"> <img src="https://avatars.githubusercontent.com/u/78460559?v=4" width="100;" alt="jungdaesuh"/> <br /> <sub><b>jungdaesuh</b></sub> </a> </td> <td align="center"> <a href="https://github.com/josephgoksu"> <img src="https://avatars.githubusercontent.com/u/6523823?v=4" width="100;" alt="josephgoksu"/> <br /> <sub><b>Joseph Goksu</b></sub> </a> </td> <td align="center"> <a href="https://github.com/EikoocS"> <img src="https://avatars.githubusercontent.com/u/80829508?v=4" width="100;" alt="EikoocS"/> <br /> <sub><b>EikoocS</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/Dhravya"> <img src="https://avatars.githubusercontent.com/u/63950637?v=4" width="100;" alt="Dhravya"/> <br /> <sub><b>Dhravya Shah</b></sub> </a> </td> <td align="center"> <a href="https://github.com/dflor003"> <img src="https://avatars.githubusercontent.com/u/103017?v=4" width="100;" alt="dflor003"/> <br /> <sub><b>Danil Flores</b></sub> </a> </td> <td align="center"> <a href="https://github.com/DAESA24"> <img src="https://avatars.githubusercontent.com/u/173488786?v=4" width="100;" alt="DAESA24"/> <br /> <sub><b>DAESA24</b></sub> </a> </td> <td align="center"> <a href="https://github.com/ammesonb"> <img src="https://avatars.githubusercontent.com/u/2522710?v=4" width="100;" alt="ammesonb"/> <br /> <sub><b>Brett Ammeson</b></sub> </a> </td> <td align="center"> <a href="https://github.com/auto-pr-bot"> <img src="https://avatars.githubusercontent.com/u/245575329?v=4" width="100;" alt="auto-pr-bot"/> <br /> <sub><b>auto-pr-bot</b></sub> </a> </td> <td align="center"> <a href="https://github.com/anush008"> <img src="https://avatars.githubusercontent.com/u/46051506?v=4" width="100;" alt="anush008"/> <br /> <sub><b>Anush</b></sub> </a> </td> </tr> <tr> <td align="center"> <a href="https://github.com/annelchavez-11594"> <img src="https://avatars.githubusercontent.com/u/271067077?v=4" width="100;" alt="annelchavez-11594"/> <br /> <sub><b>Annel Chavez</b></sub> </a> </td> <td align="center"> <a href="https://github.com/atao2004"> <img src="https://avatars.githubusercontent.com/u/148929819?v=4" width="100;" alt="atao2004"/> <br /> <sub><b>Anna Tao</b></sub> </a> </td> </tr> <tbody> </table> <!-- readme: contributors -end -->
docs/project-memory.md
<!-- __ __ ___ / / ____ ____ ____ _/ |/ /__ ____ ___ ____ _______ __ / / / __ \/ __ \/ __ `/ /|_/ / _ \/ __ `__ \/ __ \/ ___/ / / / / /___/ /_/ / / / / /_/ / / / / __/ / / / / / /_/ / / / /_/ / /_____/\____/_/ /_/\__, /_/ /_/\___/_/ /_/ /_/\____/_/ \__, / /____/ /____/ cavira oss (c) 2026 - nullure (c) 2026 ========================================================== file : docs/project-memory.md usage : documents LongMemory project memory -->
Project-wide memory
Project memory gives long-running agents a scoped Hydrograph world for goals, architecture, decisions, requirements, source files, issues, failures, conventions, deployment facts, risks, and working state.
It is not a global document index. Every project is a recursive world subtree with its own permission contract, provenance, bitemporal history, contradictions, source snapshots, and recall policies.
ProjectWorld
Hydrograph root
└── tenant
└── organization
└── project
├── repositories
├── documents
├── issues
├── deployments
├── decisions
├── agent sessions
├── architecture
├── tasks
├── conventions
├── failures
├── goals
├── constraints
├── questions
├── risks
├── references
├── skills
└── assetsEach child is a real recursive Hydrograph world. Connector-created repository, document, issue, and communication worlds attach beneath the appropriate project child instead of the global root.
ProjectWorld tracks:
Tenant, organization, and project identity
Root and category world IDs
Linked connector summaries and current source refs
Active goals and constraints
Current architecture summary
Current decisions, questions, tasks, conventions, deployments, and risks
Project memory policy
Creation/update time
Project summaries are derived views over durable project nodes. On reopen, project events hydrate those views from the project world history.
Create project memory
import { createProjectMemory } from "longmemory";
const projects = await createProjectMemory({
tenant_id: "tenant:cavira",
organization_id: "CaviraOSS",
project_id: "longmemory",
name: "LongMemory",
description: "Hydrograph memory engine",
store: "sqlite",
db_path: "./longmemory.db",
max_context_tokens: 2_048,
});One manager can host multiple projects over the same engine:
await projects.createProject({
tenant_id: "tenant:cavira",
organization_id: "CaviraOSS",
project_id: "another-project",
name: "Another Project",
});Recall always supplies the selected project root world and project permission context. Project A candidates therefore cannot enter Project B recall unless an explicit cross-project link is added in a future policy layer.
Project contract
ProjectMemoryContract controls whether project memory is visible to project agents, users, and teams, and whether it may be used for code generation, planning, debugging, and decisions. It also controls citation and freshness requirements.
The contract maps into the underlying memory contract:
Project-scoped source permission
Reasoning/prediction policies
Source/citation requirements
Freshness expiry behavior
Private project visibility
Connector plans linked to a project are rewritten with the project permission. Restricted project memory cannot be recalled without project_ids: [project_id].
Ingest project events
await projects.ingestProjectEvent("longmemory", {
kind: "architecture",
topic: "api-framework",
text: "The API uses Fastify",
source_type: "github",
external_id: "file:package.json",
url: "https://github.com/CaviraOSS/LongMemory/blob/abc/package.json",
repo: "CaviraOSS/LongMemory",
branch: "main",
commit: "abc",
file_path: "package.json",
checksum: "sha256:...",
});Supported event kinds include architecture, decision, requirement, goal, constraint, task, bug, failure, preference, convention, deployment, risk, question, reference, agent state, code fact, and manual fact.
Source-backed facts become exocortex nodes. Agent guesses and working interpretations use subjective: true and become endocortex nodes. Both still pass through contracts, entity resolution, bitemporal validity, and project scoping.
Project updates are immutable revisions. Architecture, decisions, requirements, goals, tasks, conventions, deployments, agent state, and code facts supersede the prior node for the same topic. Independent assertions can set replace_current: false; conflicting claims then create executable contradicts edges instead of pretending one source is correct.
Decisions
Decision events preserve:
What was decided
Rationale
Rejected alternatives
Source and timestamp
Current/superseded status
Replacement decision ID
await projects.ingestProjectEvent("longmemory", {
kind: "decision",
topic: "database",
text: "Use SQLite for local-first persistence",
rationale: "Zero setup and transactional local storage",
alternatives_rejected: ["Hosted Postgres"],
source_type: "architecture_note",
url: "file:///docs/decisions.md",
});
const decisions = await projects.getProjectDecisions("longmemory");Superseded decisions remain available in project_historical recall.
Tasks and failures
Task memory records status, priority, owner, source URL, and update time:
await projects.ingestProjectEvent("longmemory", {
kind: "task",
topic: "connector-tests",
text: "Add connector regression tests",
status: "blocked",
priority: "high",
owner: "Alice Chen",
source_type: "issue",
url: "https://github.com/CaviraOSS/LongMemory/issues/42",
});
const tasks = await projects.getProjectTasks("longmemory");Bug/failure events preserve failed fixes, root-cause notes, regression risks, and successful follow-up evidence. Debugging recall prioritizes failures, code facts, tasks, and agent working state so another agent does not repeat rejected approaches.
Link connectors
import { github_connector } from "longmemory";
const github = new github_connector({
owner: "CaviraOSS",
repo: "LongMemory",
ref: "main",
});
await projects.linkSourceToProject("longmemory", {
connector_id: "github",
connector: github,
label: "CaviraOSS/LongMemory",
current_ref: "abc123",
});
const report = await projects.syncProjectSource("longmemory", "github", {
mode: "incremental",
current_ref: "abc123",
});Before application, every connector plan is namespaced with the project ID. Top-level source worlds attach under the project repository, document, issue, or deployment world. Node IDs, plan keys, edge keys, permissions, provenance, and metadata are project-scoped. The same external connector can therefore be linked to multiple projects without collisions or leakage.
Connector cursors and checksums provide incremental sync. The project records linked source refs and sync reports. Use setProjectSourceRef when a repository branch/commit advances.
Code memory and freshness
Code facts may include:
Repository
Branch
Commit
File path
Line range
Checksum/version
Source URL
await projects.ingestProjectEvent("longmemory", {
kind: "code_fact",
topic: "src/core/project/project_memory.ts",
text: "createProjectMemory is implemented here",
source_type: "github",
repo: "CaviraOSS/LongMemory",
branch: "main",
commit: "abc123",
file_path: "src/core/project/project_memory.ts",
line_start: 1,
line_end: 400,
checksum: "sha256:...",
});project_code recall compares each fact’s commit with the linked source’s current ref. A mismatch receives a 0.2 freshness score and is ranked behind current-ref facts. Stale code facts remain historically explainable but should not be treated as current truth.
Project recall modes
const current = await projects.recallProject(
"longmemory",
{ text: "current architecture" },
"project_strict",
);
const old = await projects.recallProject(
"longmemory",
{
text: "database architecture",
valid_time: Date.UTC(2026, 0, 1),
},
"project_historical",
);Modes:
project_strict: current project truth after temporal, contradiction, contract, permission, and grounding gatesproject_historical: past valid/recorded project views and supersession chainsproject_associative: broad project patterns, including failed attempts and superseded contextproject_code: source/code memories with commit freshness rankingproject_planning: goals, architecture, decisions, requirements, constraints, tasks, risks, questions, and agent stateproject_debugging: bugs, failures, code facts, tasks, and previous agent attempts
Every result includes project ID, memories, code facts when relevant, contradiction warnings, citations, raw core recall output, and a debug trace.
Contradictions
Independent sources that disagree create executable contradicts edges. Project recall and context packets surface warnings containing both memory IDs and available source text.
For example, a document claiming SQLite and an issue claiming Postgres remain an unresolved conflict. Strict recall will not invent certainty. A later authoritative decision can supersede the old architecture while retaining the contradiction and decision history.
Agent handoff
Agent state events remember:
Last active task
Current plan
Pending questions
Files touched
Proposed changes
Rejected approaches
Test results
Known failures
Next actions
await projects.ingestProjectEvent("longmemory", {
kind: "agent_state",
topic: "Implement project memory",
text: "Agent is implementing project memory",
subjective: true,
files_touched: ["src/core/project/project_memory.ts"],
alternatives_rejected: ["Global unscoped memory"],
next_actions: ["Run project acceptance tests"],
metadata: {
current_plan: ["Implement APIs", "Validate isolation"],
known_failures: ["Cursor overwrite regression"],
test_results: ["Connector tests passed"],
},
});The next agent requests a context packet:
const handoff = await projects.getProjectContext(
"longmemory",
"continue implementing project memory",
2_048,
);The packet contains project summary, current goal, hard constraints, relevant architecture/files, active decisions, open tasks, known failures, retrieved memories, contradictions, citations, suggested next steps, and a debug trace.
It also contains the governed asset_loadout: only approved, unexpired,
authorized assets selected for the user/team/role/agent/task/framework identity.
Every selected item includes its injection mode and MCP-style audience, priority,
and last-modified annotations; exclusions include a machine-readable reason.
Memory content is packed under the requested token budget using the same token estimator as core recall. Lower-ranked memories are omitted rather than truncating source identity or citation metadata.
Reusable Skills and agent loadouts
Skills turn proven workflows into durable project assets with a stable Skill ID, immutable versions, trigger boundaries, ordered instructions, validation rules, resource references, ownership metadata, and agent bindings.
const skill = await projects.createSkill("longmemory", {
name: "Release check",
description: "Validate a release before publishing.",
triggers: ["release checklist", "publish package"],
instructions: ["Run tests", "Build packages", "Inspect package contents"],
validation: ["All tests pass"],
resources: [{ path: "README.md" }],
});
await projects.bindSkill("longmemory", skill.skill_id, ["reviewer"]);
const matches = await projects.matchSkills(
"longmemory",
"run the release checklist",
"reviewer",
);Creating a Skill with an existing skill_id creates a superseding version;
prior versions remain historically explainable. Archiving also creates an
immutable terminal version. Project context includes matching Skills within the
same token budget as memories. Skill records inherit the project permission
contract; agent bindings narrow automatic loadout injection.
CodeGraph queries
Repository connectors already persist file snapshots, symbols, imports, and source provenance. Source analysis now records bounded symbol bodies and called symbols, enabling project-scoped search, callers, callees, and reverse impact paths without a second index service:
await projects.searchCodeSymbols("longmemory", "createMemory");
await projects.getCodeCallers("longmemory", "createMemory");
await projects.getCodeCallees("longmemory", "createMemory");
await projects.getCodeImpact("longmemory", "createMemory", 5);Results retain file, line, language, commit, and backing memory IDs. The graph is syntactic and snapshot-aware; dynamic dispatch and runtime reflection remain outside its evidence boundary.
Past agent sessions
Cold-start import accepts a provider-neutral session with ordered system, user,
assistant, and tool messages. It validates all messages and monotonic timestamps
before writing, then stores each raw turn in the agent_sessions world with the
original provider, agent, role, sequence, timestamp, tool call, and source ref.
await projects.importSession("longmemory", {
session_id: "codex-42",
agent_id: "builder",
provider: "codex",
source_ref: "history/codex-42.json",
messages: [
{ role: "user", content: "Implement project Skills.", at: 1 },
{ role: "assistant", content: "Skills implemented.", at: 2 },
],
});Required APIs
const projects = await createProjectMemory(config);
await projects.linkSourceToProject(project_id, source);
await projects.ingestProjectEvent(project_id, event);
await projects.syncProjectSource(project_id, connector_id);
await projects.recallProject(project_id, query, mode);
await projects.getProjectContext(project_id, task);
await projects.getProjectDecisions(project_id);
await projects.getProjectTasks(project_id);
await projects.createSkill(project_id, skill);
await projects.matchSkills(project_id, query, agent_id);
await projects.searchCodeSymbols(project_id, query);
await projects.getCodeImpact(project_id, symbol);
await projects.importSession(project_id, session);
await projects.listSessions(project_id);
await projects.registerAsset(project_id, asset);
await projects.governAsset(project_id, asset_id, patch);
await projects.resolveAssetLoadout(project_id, request);
await projects.buildAgentManifest(project_id, request);
await projects.explainProjectMemory(project_id, memory_id);Equivalent exported helper functions accept the project manager as their first argument.
Project memory never becomes global by default, never writes raw chunks into vector storage, never skips provenance, and never admits stale code facts as current project truth.
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Advantages
- Supports temporal truth by separating recorded time from valid time, allowing for historical accuracy. evidence: README.md
- Provides immutable memory where content and provenance are preserved, preventing accidental overwrites. evidence: README.md
- Enforces governance policies for projects, teams, and roles to ensure secure and scoped memory access. evidence: README.md
Limitations
- Requires manual configuration for network deployment, including API key management and TLS termination. evidence: README.md
- The Python SDK requires a running LongMemory server instance for persistent storage. evidence: README.md
Security
Risk level: Low risk
This brain runs
Install scripts (1)
Makefile(make install):corepack enable; pnpm install --frozen-lockfile
MCP servers (2)
integrations/claude-code-longmemory/.mcp.json(longmemory):longmemory mcp --project currentintegrations/gemini-cli-longmemory/gemini-extension.json(longmemory):longmemory mcp --project current
- Low risk: scripts-present (benchmarks/src/official.ts)
- Low risk: scripts-present (src/cli/index.ts)
- Low risk: scripts-present (tools/check-integrations.mjs)
Attribution and licence
- Created by
- CaviraOSS
- First committed by
- @nullure
- Declared authors
- CaviraOSS (declared in package.json)
- Publisher
- Cavira (Community)
- Source
- CaviraOSS/LongMemory · commit aec98ce
- Licence
- Apache License 2.0 (files served here)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by CaviraOSS.
Install from source
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