Agent Memory Bridge

Teach one decision and its reason. The next session can recall that reason when it recalls at the start.

AMB keeps a confirmed project decision in a local store. A later session gets it back by recalling, not by rereading the old chat.

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The loop

One process stores a decision. A second process, on the same AMB home, recalls the claim and the reason. The recording is that local stdio proof. It is not a filmed coding-agent session, and it is not an adoption measurement.

The source is examples/demo/first-win-demo.cast. The block below is an abridged transcript of that cast. Regenerating it runs the two processes, then writes generated playback: the header time and the line delays are fixed, not a measurement of the run. Command: python ./scripts/build_first_win_cast.py. Rendering a GIF needs agg; this repository does not include that GIF.

# Session A: store one explicit decision
namespace: project:checkout-app
claim: Merge pull requests only after CI is green on the target branch.
reason: Broken main blocked two releases this month.
stored: true

# Session B: a second stdio process, same home, recall at start
query: What is required before we merge a pull request?
claim: Merge pull requests only after CI is green on the target branch.
reason: Broken main blocked two releases this month.
same_record: true
fresh_process: true

Recall at the start

Connecting the server is not enough. The next session has to recall on purpose. This page does not claim that connecting MCP, or leaving a skill where it can be found, makes that happen by itself. There is no automatic learning.

Put this rule where the next session will actually follow it:

Before changing code, recall this project's Agent Memory Bridge decisions and their reasons.
Use the namespace from `project resolve`. Call the public `recall` tool.
Store a decision only after it is confirmed. Do not treat chat history as already stored.

Install, then bind the project

AMB requires Python 3.11+ and Git.

Current package/source version: 0.37.0.

python -m venv .amb-venv
<venv-python> -m pip install agent-memory-bridge==0.37.0
<venv-python> -m agent_mem_bridge project init .

Replace <venv-python> with the Python executable inside .amb-venv. project init detects the Git repository, proposes a namespace such as project:my-app, and waits for confirmation. It does not learn decisions from the tree. After that, project resolve . returns the namespace.

Run <venv-python> -m agent_mem_bridge with one persistent AGENT_MEMORY_BRIDGE_HOME. How a client launches that process stays outside Core. The command shape is in Integrations. Connection is real when the client lists store and recall.

Store one confirmed decision with store. In the next session, use the startup rule above and ask for that decision.

npx skills add zzhang82/Agent-Memory-Skills --skill amb
npx skills add zzhang82/Agent-Memory-Skills --skill amb-connect

<venv-python> -m agent_mem_bridge explore --namespace project:my-app
<venv-python> -m agent_mem_bridge inspect \
  --namespace project:my-app \
  --query "What is required before we merge a pull request?"

<venv-python> -m agent_mem_bridge bootstrap-repo . --namespace project:my-app

Why the memory stays trustworthy

The useful part is not remembering more. It is knowing where a decision came from, whether it is still current, and how it changed.

Code tells the next session what exists. AMB retains the confirmed reasons the code does not explain.

What AMB is — and is not

AMB is a governed local project-memory layer for coding agents. Durable knowledge, derived repository facts, provenance, and corrections stay distinguishable.

It is not a transcript archive, a promise that an agent will remember everything, or a system that silently converts every conversation into durable truth. There is no automatic learning.

Memory hygiene: Structure over prose

Do not treat memory as a prompt trash can for linter errors, directory conventions, or syntax dos and don'ts. If an agent makes the same mechanical mistake twice, harden the repository environment with linter rules, type guards, or pre-commit checks. Reserve AMB durable memory for the reasons that code cannot convey: architectural decisions, domain invariants, and third-party library gotchas. See the Memory Hygiene Guide for the 3-question ingestion filter.

Want the details?

Technical model

Internally, AMB keeps derived_repository data separate from governed durable memory so one cannot silently become the other. For maintainers and reviewers, the current authority flow is:

flowchart LR
    A[Durable Memory / WHY] --> C[Lifecycle-aware Recall]
    B[Repository Knowledge / WHAT] --> D[Context Compiler]
    S[Dynamic State Authority] --> D
    C --> E[Governed Task Memory]
    E --> D
    D --> F[Transient Bounded Context]
    F --> G[Metadata-only Context Attestation]
    G --> H[Episode and Run Authority]
    H --> I[Verification Receipt]
    I --> J[Current Verified Outcome]

SQLite/WAL rows are durable authority. Repository snapshots, FTS rows, embedding sidecars, compiled context, reports, and Explorer views are derived. Context bodies are rendered in process and are not durably persisted by the compiler.

Trust and privacy

AMB is local-first. It does not require a hosted memory service. It separates durable memory from coordination Signals and mutable Dynamic State, keeps provenance visible, and rejects raw transcripts, hidden reasoning, and inline artifact bodies from the durable episode path.

Read the Trust Boundary, Authority Contract, and Closed-Loop Episode Authority for the exact boundaries.

MCP Tools

AMB exposes 17 public MCP tools:

• store, recall, browse, and stats
• forget, feedback, promote, annotate, revise, and export
• begin_run, record_run_event, get_run, and complete_run
• claim_signal, extend_signal_lease, and ack_signal

The public tool surface stays small. Setup, Project Init, Explore, Inspect, context assembly, and review reports remain CLI or internal derived workflows rather than becoming more MCP tools.

The local protocol cache contract is 300000/public for discovery and 0/private for the tool list; see MCP Compatibility for details.

Current maturity

Current package/source version is 0.37.0. Schema remains v12 and the public MCP surface remains exactly 17 tools. There is no automatic learning and no MCP tool #18. project init is the preferred first-project path. Default Explore is a Human-first view over existing repository-derived context and governed project knowledge. Current evidence and non-claims live in Production Status; published artifacts live in GitHub Releases.

Contributing

Read CONTRIBUTING.md for development and public-surface expectations, and SECURITY.md for vulnerability reporting.

Licensed under MIT.