This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Git-style version control, cryptographic receipts, and cascading rollbacks for multi-agent shared memory.
Terminal demo — Provenance Firewall catch + BFS domino quarantine (zero API keys)
pip install -e ".[dev]" && agentledger demoMulti-agent teams share memory. One hallucinated scrape can become a quote, a proposal, and a CRM dispatch — cascading memory poisoning without a clear rollback path.
AgentLedger puts a Provenance Firewall in front of every write and a Causal Lineage Graph behind every read so you can quarantine the poison root and every derived decision.
Mechanism | Behavior |
Cryptographic Receipts | Facts must cite a registered artifact SHA-256 or they never land |
Confidence Half-Life Decay |
|
Cascading Rollback (BFS) | Walk |
Related MCP server: projectmem
flowchart LR
A[Agent Tool Output] --> B[Artifact Hasher<br/>SHA-256]
B --> C[Provenance Firewall]
C -->|VALIDATED| D[Merkle Commit]
D --> E[Main State DAG]
E --> F[Downstream Causal Reads]
F -.->|causal_read_hashes| D
C -->|UNVERIFIED_RECEIPT / LOW_CONFIDENCE| X[Blocked]Feature | AgentLedger | Mem0 / Zep | Raw Redis / JSON |
Cryptographic Receipts | ✅ | ❌ | ❌ |
Confidence Half-Life Decay | ✅ | ⚠️ partial | ❌ |
Cascading Rollback (BFS) | ✅ | ❌ | ❌ |
Model Context Protocol (MCP) | ✅ | ❌ | ❌ |
Embedded Zero-Cloud (SQLite) | ✅ | ❌ | ⚠️ DIY |
git clone https://github.com/ratharo-gitty/agentledger.git
cd agentledger
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
agentledger demoUse the high-level API in tools and agent hops:
from agentledger import ledger
@ledger.watch(key="acme::budget")
def scrape_budget():
return "Verified budget: $500,000"
with ledger.agent("bot-pricer"):
budget = ledger.get("acme::budget") # tracks causal read
ledger.set("acme::quote", 75000) # links lineage automatically{
"mcpServers": {
"agentledger": {
"command": "agentledger",
"args": ["mcp"],
"env": {
"AGENTLEDGER_DB": ".agentledger/ledger.db"
}
}
}
}After
pip install -e ., pointcommandat the absolute path to theagentledgerbinary if Cursor does not inherit your venv PATH.
{
"mcpServers": {
"agentledger": {
"command": "agentledger",
"args": ["mcp"],
"env": {
"AGENTLEDGER_DB": "/absolute/path/to/your/project/.agentledger/ledger.db"
}
}
}
}from agentledger import AgentLedgerEngine, MemoryFact, EvidenceAnchor, SourceType
engine = AgentLedgerEngine(".agentledger/ledger.db")
sha = engine.register_artifact("scrape: acme tier=Growth")
fact = MemoryFact(
namespace="acme_corp",
entity_key="tier",
value="Growth",
initial_confidence=0.92,
evidence=EvidenceAnchor(
source_type=SourceType.TOOL_STDOUT,
source_uri="tool://scraper",
raw_artifact_sha256=sha,
excerpt="tier=Growth",
),
)
commit = engine.commit(agent_id="researcher", facts=[fact])
facts, causal = engine.read_facts(namespace="acme_corp")MCP tools: ledger_register_evidence · ledger_read · ledger_commit · ledger_blame · ledger_revert_cascade
Command | Purpose |
| Self-contained 4-bot GTM simulation (firewall + domino rollback) |
| Sample multi-agent commits for local exploration |
| Rich table of commits, causal parents, decayed confidence |
| Full provenance receipt panel |
| Prefix-aware BFS cascade quarantine |
| Start the FastMCP stdio server |
pip install -e ".[dev]"
pytest -v
ruff check .
agentledger demoSee CONTRIBUTING.md and GOOD_FIRST_ISSUES.md for contributor on-ramps (CrewAI, LangGraph, Postgres, DAG visualizer, and more).
This server cannot be deployed
Shared memory for your AI agents. Every fact shows its source, and stale facts get replaced.
Hosted agent memory with provenance, contradiction surfacing, and snapshot rollback.
Self-curating memory your AI tools share: provenance, verified citations, and trust tiers.
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.