ContextLattice
ContextLattice is a local-first memory orchestration system for AI systems. It offers the following capabilities:
Health Check: Query the orchestrator's health status to verify it's operational.
Write Memory: Store new memory items by providing a project name, file name, content, and optional topic path for hierarchical organization.
Search Memory: Search contextual memory entries by project and query, with optional filters for agent ID, topic path, grounding info, and retrieval debug details.
Durable Storage: Orchestrates memory writes with outbox fanout to specialized sinks (e.g., Qdrant, Mongo, MindsDB, Letta) targeting 100+ messages/second throughput.
Intelligent Retrieval: Multi-source recall with result merging, ranking, and a learning loop for continuous improvement.
Code Context Enrichment: Reranks code context based on symbol overlap, file-path proximity, and recency.
Agent Task Management: Queue, route, and manage task lifecycles (create, status, replay, recover leases) for external/internal agent runners.
Context Expansion: Dynamically expands agent context with budgeted layers (factual snippets, topic rollups, raw file refs) and async deep escalation.
Telemetry & Maintenance: Access fanout/retention telemetry, clean up low-value memory, and purge telemetry data.
Security Controls: Enforce secret storage policies (redaction, blocking, or allowing) with API key authentication.
Web3 Integration: Supports Web3 messaging surfaces like IronClaw, OpenClaw, and ZeroClaw.
ContextLattice
Stop replaying the brief
Models can reason. Harnesses can act. Neither reliably retains the mission when a chat, model, tool, account, or computer changes.
ContextLattice gives that work a durable, inspectable context layer. It reconstructs the active objective, selects the evidence that matters, carries it safely, and records what actually worked—without turning every prompt into a transcript dump or making cloud storage mandatory.
Capability | What changes |
Durable continuity | Reopen the objective, decisions, repository state, risks, proof, and next move as one bounded packet. |
Explainable retrieval | Rank evidence by impact per token and expose source coverage, omissions, opposition, degradation, and receipts. |
Portable context | Move signed, least-privilege continuation across agents and machines while keeping execution and transport caller-owned. |
Verified skill evolution | Discover skills without loading every file, evaluate repeated wins on holdouts, and require review before promotion. |
Privacy-bounded Aggregate Signal | Learn from explicitly opted-in, clipped statistics while raw memory remains local; production activation stays hard-blocked pending independent privacy and utility review. |
The CLI is the primary interface. The dashboard makes behavior and proof visible. HTTP and MCP are companion integration surfaces for applications and harnesses.
Related MCP server: copilot-memory-store
How it works
Stage | ContextLattice does |
01 · Reopen | Reconstructs the one active mission from durable checkpoints and current state. |
02 · Select | Retrieves high-signal evidence into a compact Context Pack with provenance. |
03 · Move | Carries signed, bounded context through Agent Packets, Passports, and encrypted continuation envelopes. |
04 · Earn | Records outcomes and promotes reusable behavior only after deterministic proof and human approval. |
05 · Compound | Improves future retrieval while preserving corrections, contradictions, freshness, and retirement semantics. |
ContextLattice does not replace your agent harness, choose goals from retrieved text, or execute imported context. Local tools remain execution surfaces; memory and remote content remain evidence.
Quickstart
Requirements: macOS, Linux, or Windows through WSL2; a Compose v2-compatible container runtime; and gmake, jq, rg, python3, and curl.
1. Install
git clone https://github.com/sheawinkler/ContextLattice.git
cd ContextLattice
cp .env.example .env
gmake quickstartgmake quickstart is the prescribed technical install path; installers are bootstrap alternatives. The command prepares environment wiring, asks for a runtime profile, launches the selected local stack, and validates initial readiness.
2. Verify the runtime and retrieval path
curl -fsS http://127.0.0.1:8075/health | jq
contextlattice doctor --pretty
contextlattice context "verify this ContextLattice installation" \
--project contextlattice \
--prettyHealthy containers are only the first check. The final command exercises the actual context path and reports source coverage, degradation, evidence, and next actions.
For a fuller lifecycle proof from the repository:
scripts/agent/agent-runtime-proof-pack --pretty
scripts/agent/agent-adoption-proof-matrix \
--skip-provider-smoke \
--progress \
--prettyConnect your agents
Run integration from the repository that should use ContextLattice:
cd /path/to/your/project
contextlattice_adopt integrate \
--repo . \
--agents codex,claude-code,opencode,hermes-agent,hermes-ultra,omp,mercury-agent,pi,droid \
--pretty
contextlattice_adopt integrate \
--repo . \
--agents codex,claude-code,opencode,hermes-agent,hermes-ultra,omp,mercury-agent,pi,droid \
--check \
--prettyThe integration command writes bounded managed blocks while preserving existing instruction text. It does not install Codex, Claude Code, OpenCode, Hermes, OMP, Mercury, Pi, Droid, or another third-party agent harness.
If an agent is performing the installation, it should follow the quickstart directly, avoid cloning a second checkout when already inside one, report the exact failing command and path, and rerun the deterministic check after any repair.
The daily agent loop
# Confirm readiness when the environment is uncertain.
contextlattice doctor --pretty
# Retrieve scoped context before substantial work.
contextlattice context "debug the current release regression" \
--project contextlattice \
--pretty
# Save concise, durable progress.
contextlattice remember \
"Root cause verified; regression test added; focused checks pass." \
--project contextlattice \
--pretty
# Resume without replaying the transcript.
contextlattice resume --project contextlattice --pretty
# Repair stale or wrong recall without silently rewriting history.
contextlattice correct \
"The prior deployment record is stale." \
--category stale \
--project contextlattice \
--pretty
# Close the loop with the verified outcome.
contextlattice finish \
"Regression fixed and verified." \
--success \
--project contextlattice \
--prettyFind a capability without loading every skill body:
contextlattice_skills_index search "browser automation" --prettyThe active Skills Index scans configured Codex, Hermes, Hermes Ultra, and shared
agent roots read-only. It reports each harness and root inventory separately,
collapses byte-identical SKILL.md files by SHA-256 digest while retaining every
source path as provenance, and requires discriminating query-term coverage
instead of ranking generic words such as skill, index, or agent.
Quarantine discovery remains separate, read-only by default, and never
auto-promotes retrieved content.
Architecture
The default local control path is:
Agent or application
│
▼
ContextLattice CLI / HTTP / MCP
│
▼
Gateway :8075
├── durable write and outbox fanout
├── scoped retrieval and source receipts
├── session, objective, graph, and outcome state
└── dashboard-visible proof and operationsWrites are validated and durably persisted before fanout. Retrieval merges the available sources, ranks bounded evidence, and reports missing or degraded coverage instead of hiding it.
The active application path is Go and Rust. Python remains in build, development, migration, and audit tooling rather than the live request path.
Public and paid boundaries
The public local lane is account-free and useful on its own. It includes the CLI-first memory lifecycle, Context Packs, sessions, graph and claim surfaces, Skills Index discovery, Agent Packets, public Passport and Mesh contracts, and local proof tooling.
Paid artifacts add governed collaboration, protected activation, workspace operations, advanced analytics, and hosted distribution. They do not turn local memory into a mandatory cloud dependency.
See plans and distribution boundaries for the current contract.
Install options
Path | Best for | Status |
Source + | Technical users and terminal-capable agents | Recommended |
| macOS convenience bootstrap | Available |
Guided macOS bootstrap | Unsigned technical preview; expect Gatekeeper warnings | |
Guided Windows bootstrap | Available | |
Guided Linux bootstrap | Available |
Resource profiles
Profile | CPU | RAM | Storage |
Hugging Face / Glama lite |
|
|
|
Local Lite core |
|
|
|
Local Lite advanced |
|
|
|
Local Full |
|
|
|
For heavier ingest, model storage, or the spike-lab adapters, read the installation and storage guidance before selecting a profile.
Security and privacy
Local-first and account-free in the public local lane.
API-key protection for operational routes.
Deterministic secret-like content filtering at write ingress: redact by default, block when configured, and allow only by explicit operator choice.
Provenance and trust isolation on retrieved memory.
Signed portable context and encrypted continuation envelopes.
Dry-run-first graph repair, source backfill, and quarantine workflows.
No automatic execution of retrieved instructions or imported continuation content.
Security reports follow SECURITY.md.
Documentation
Need | Start here |
Product overview | |
Installation | |
CLI and agent lifecycle | |
Harness and app integration | |
Architecture and scaling | |
Troubleshooting | |
Current behavior and release evidence | |
Roadmap | |
Agent hooks | |
Retrieval trust | |
Skills and verified learning | |
Portable context | |
Local inference | |
Full repository-backed manual |
The current release baseline is v4.0.5.
License
ContextLattice's public lane is licensed under the Apache License 2.0.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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