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  1. Home
  2. 🧠 Knowledge & Memory
  3. Vlk MemAct
Vlk MemAct logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 3:01:54 AM

Vlk MemAct

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).

Stateful memory for AI agents. Temporal awareness, error loop detection, and preventive constraints.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Vlk MemAct, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (11) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Capabilities & Tool Schemas (11) ~154 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Vlk MemAct.

vlk_record_state

Push a log/error as a PRESENT slot for loop detection

vlk_fetch_context

Clean context with reconsolidation + loop interception

vlk_time_travel

Archive PRESENT → PAST and inject a FUTURE constraint

vlk_get_history

Full timeline audit

vlk_search_memory

Keyword search across logs and constraints

vlk_summarize_session

State counts + token estimates

Documentation Overview

Vlk² — Temporal State Machine for AI Agents

Vlk² gives AI agents a sense of time: what's happening now (PRESENT), what's already been tried (PAST), and what should guide future decisions (FUTURE). It runs as a single binary over MCP, backed by SQLite, and manages these temporal transitions autonomously.

The killer demo: when an agent repeats the same Rust/TS/Python/Go error 3 times, Vlk² auto-archives the loop and injects a preventive constraint so the agent stops retrying the same broken approach. But the architecture is general — the temporal state machine can track any kind of past→present→future transition across any agent framework.

What It Does

  • Temporal state machine — each memory has a state: PRESENT (active context), PAST (archived, hidden from context), FUTURE (preventive constraints), PURGED (forgotten). A background agent transitions entries between states without agent intervention.
  • Cross-language loop detection — fingerprints errors by language, not by string match. Recognizes Rust (error[E0277]), TypeScript/JS (TS2345, TypeError), Python (ValueError, KeyError), Go (panic: nil pointer), HTTP (503 Service Unavailable), test frameworks (expected: X, got: Y), with a timestamp-stripping fallback. When the same fingerprint appears ≥3 times, Vlk² auto-archives the loop to PAST and injects a FUTURE constraint.
  • Reconsolidation on retrieval — every recall checks current beliefs; if contradictory, the memory rewrites itself.
  • Token budget enforcement — every 30s, estimates total tokens in PRESENT + FUTURE. If over budget (8K default), archives lowest-importance entries until under budget.
  • Autonomous consolidation — background task (30s cycle) evaluates importance, archives stale entries, and forgets disconnected ones.

Why Not Just a Memory System?

General memory systems (agentmemory, Hindsight, Mem0, Supermemory) store facts, preferences, and context. Vlk² does one thing they don't: detect that the same Rust compile error repeated 3 times across different files and inject a constraint so the agent stops retrying the same broken approach. It's not a replacement — it's a specialized fault-detection layer that runs alongside them.

CapabilityVlk²agentmemoryHindsightSupermemory
Fact/persona memory—✅ 53 tools✅ hooks✅ keywords
Cross-language error fingerprinting✅ 7 strategies———
Autonomous loop breaking✅ ≥3 repeats auto-archive———
Reconsolidation on retrieval✅———
Token-bounded context✅ 8K default———

Quick Start

bash
cd vlk-core
cargo build --release
DATABASE_URL="sqlite:vlk.db?mode=rwc" ./target/release/vlk-core

Any MCP client connects via stdin/stdout — JSON-RPC 2.0, one line per message.

MCP Tools

ToolPurpose
vlk_record_statePush a log/error as a PRESENT slot for loop detection
vlk_fetch_contextClean context with reconsolidation + loop interception
vlk_time_travelArchive PRESENT → PAST and inject a FUTURE constraint
vlk_get_historyFull timeline audit
vlk_search_memoryKeyword search across logs and constraints
vlk_summarize_sessionState counts + token estimates
vlk_revoke_futureRemove incorrectly learned constraints
vlk_get_factsRetrieved distilled patterns
vlk_consolidation_statusShow consolidation agent state with token bar
vlk_pin_memoryProtect a pattern from forgetting
vlk_unpin_memoryRestore normal forgetting eligibility

How Loop Detection Works

  1. Each error is fingerprinted by type: Rust error[E...], TS TS..., Python TypeError:, Go panic:, HTTP 503, test assertion, or first-80-chars fallback
  2. Fingerprints group near-duplicates — same error code with different timestamps/line numbers count as one pattern
  3. At ≥3 repeats → auto-archives the loop + injects [SYSTEM ANCHOR] preventive constraint
  4. Future context fetches include the constraint, so the agent stops repeating

Architecture

Code
memory_contents (immutable, team-agnostic)
  └── FK ──► agent_timeline (PRESENT / PAST / FUTURE / PURGED)
               ├── memory_metadata (temporal vectors, importance, connectivity)
               └── semantic_facts (distilled patterns from errors)
                    └── fact_contradictions (resolution tracking)

Consolidation Agent (background tokio, 30s cycle)
  SCAN → EVALUATE importance → BUDGET_CHECK → ARCHIVE low-value → FORGET stale

Verification

What's tested: the core loop detection path is verified: 3 identical Rust errors → auto-archive to PAST + FUTURE constraint injection. All 13 MCP tools respond correctly.

Not yet tested: pin/unpin with non-existent timeline_ids, token budget enforcement under load, conflict resolution.

Loop detection smoke test — sends the same Rust error[E0277] 3 times and verifies auto-archive + constraint injection:

server.ts
import subprocess, json, tempfile, os, sys

db = tempfile.mktemp(suffix='.db')
proc = subprocess.Popen(['./target/release/vlk-core'],
    stdin=subprocess.PIPE, stdout=subprocess.PIPE,
    stderr=subprocess.DEVNULL,
    env={'DATABASE_URL': f'sqlite:{db}?mode=rwc'})

def rpc(msg):
    proc.stdin.write((json.dumps(msg) + '\n').encode())
    proc.stdin.flush()
    return json.loads(proc.stdout.readline())

# Init
rpc({'jsonrpc':'2.0','id':1,'method':'initialize','params':{
    'protocolVersion':'2024-11-05','capabilities':{},
    'clientInfo':{'name':'test','version':'1.0'}}})

# Send the same Rust error 3 times to trigger loop detection
error = 'error[E0277]: cannot add `str` to `str`'
for i in range(3):
    r = rpc({'jsonrpc':'2.0','id':i+2,'method':'tools/call','params':{
        'name':'vlk_record_state',
        'arguments':{'raw_log': error, 'file_context': f'lib.rs:{i*10}'}}})
    assert 'PRESENT state recorded' in r['result']['content'][0]['text']
    print(f'  Record {i+1}: OK')

# fetch_context triggers loop detection → auto-archive → constraint injection
r = rpc({'jsonrpc':'2.0','id':5,'method':'tools/call','params':{
    'name':'vlk_fetch_context','arguments':{}}})
txt = r['result']['content'][0]['text']
assert 'E0277' in txt, 'error missing after fetch'
assert any(kw in txt for kw in ['SYSTEM ANCHOR', 'PREVENTIVE', 'CONSTRAINT']), \
    'no constraint injected'
print(f'  Fetch: loop archived + constraint injected')

proc.terminate(); proc.wait()
for f in (db, db + '-wal', db + '-shm'):
    try:
        os.remove(f)
    except FileNotFoundError:
        pass
print('PASS: loop detection works')

Integration

Add to Hermes, OpenCode, Claude Code, Codex, or any MCP host:

yaml
# ~/.hermes/config.yaml or equivalent
mcp_servers:
  vlk2:
    command: "vlk2"
    env:
      DATABASE_URL: "sqlite:~/.hermes/vlk/vlk.db?mode=rwc"
    timeout: 30

Compatible with any MCP client. Works alongside agentmemory, Hindsight, Supermemory, or Hermes built-in memory.

Requirements

  • Rust 2021 edition
  • SQLite (bundled via sqlx)
  • 6.4MB binary

Current Status

Actively developed. The core loop detection and corrective memory cycle is implemented and E2E-tested. Vlk² is a specialized complement to general memory systems — not a replacement.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
11
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Vlk MemAct

We don't have a confirmed install command for Vlk MemAct yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/aranajhonny/vlk) for the current steps.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand â–¾
Last updatedJul 4, 2026
3/7 checks healthy over the last 45d
Views0
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
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Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 4, 2026
45Quality signal: Fair · 45/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools21/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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