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This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-memory ai-agents claude cline codex coding-agents
+10 more
cursor developer-tools llm local-first mcp mcp-server model-context-protocol persistent-memory python sqlite

Summary

AI summary

Retrieval quality is now benchmarked with precision metrics, and signal coordination adds lease extension and reclaim lifecycle.

Full changelog

## Agent Memory Bridge v0.5.0

Agent Memory Bridge is a two-channel MCP memory layer for coding agents:

  • durable knowledge in memory
  • coordination events in signal

This release turns two important parts of the bridge into something we can measure and trust.

Retrieval became measurable and tunable

  • added a canonical benchmark fixture for coding-memory retrieval
  • benchmark reports now track precision@1, precision@3, and expected_top1_accuracy
  • retrieval now reranks a larger candidate pool instead of relying on raw FTS order
  • the benchmark compares bridge recall against a simple file-scan baseline
  • the current canonical fixture reports:
    • memory_expected_top1_accuracy = 1.0
    • file_scan_expected_top1_accuracy = 0.5

Signal lifecycle became more production-shaped

  • signal now supports claim -> extend -> ack / expire / reclaim
  • added extend_signal_lease to the MCP surface
  • lease renewal is separate from reclaim
  • stale leases must be reclaimed instead of extended
  • hard signal expiry remains a strict upper bound for any extension

Proof and regression coverage

  • deterministic proof covers signal correctness, duplicate suppression, and recall timing
  • stdio integration covers the MCP tool surface, including lease extension
  • full test suite passes: 68 passed

Why this release matters

This is the point where the bridge starts to feel less like a clever memory tool and more like a small coordination-aware framework:

  • retrieval quality is now benchmarked instead of guessed
  • signal coordination has a cleaner lifecycle boundary
  • the public surface stays small and inspectable

Current MCP surface

  • store, recall
  • browse, stats
  • forget, promote
  • claim_signal, extend_signal_lease, ack_signal
  • export

Roadmap

Next likely steps are:

  • claim selection fairness
  • minimal retry boundaries for signals
  • broader benchmark fixtures beyond the current canonical set
  • continued learning-quality work in promotion and synthesis

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About zzhang82/Agent-Memory-Bridge

MCP-native, local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas, and domain knowledge.

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Beta — feedback welcome: [email protected]