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io.github.Abhigyan-Shekhar/Waggle-mcp MCP Server

Persistent graph-backed conversational memory for AI agents.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

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Published as waggle-mcp on pypi. Runs locally.

Known issues

45 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

Most discussed

[feature] Add memory export preview before saving to JSON/Markdown

Problem or use case

Currently, users can export stored memory, but there is no preview of the content before the export is written to disk. A preview would help users verify the data and avoid exporting unnecessary or sensitive information.

Problem

  • Users cannot inspect exported content beforehand.
  • Accidental export of unwanted memory entries is possible.
  • Large exports are difficult to verify after the file has already been generated.

Proposed solution

  • Add a --preview fla

Read the thread · 2026-07-18 · closed · external user · 4 comments

Add memory usage statistics to the waggle-mcp doctor command

Problem or use case

The waggle-mcp doctor command verifies the installation and configuration of Waggle, but it does not provide any information about the current memory database.

Users cannot quickly check how much memory has been stored, how many nodes or edges exist, or which backend and embedding model are currently being used. This makes it harder to verify that Waggle is actively storing and retrieving memory.

Proposed solution

Extend the waggle-mcp doctor command to includ

Read the thread · 2026-07-11 · open · external user · 4 comments

[Feature Request]: Add a doctor --json mode for structured diagnostics

Problem or use case

Currently, the waggle-mcp doctor command is incredibly useful for human users to troubleshoot their configuration and setup. However, the output is formatted as plain text, making it difficult for automation scripts, issue templates, or other tooling to parse the diagnostic results reliably.

Proposed solution

Add a --json flag to the waggle-mcp doctor command. When this flag is passed, the tool should output the diagnostic results as a structured, machine-rea

Read the thread · 2026-06-12 · closed · outside contributor · 4 comments

[bug] : Malformed numeric environment variables bypass configuration validation and crash startup

Summary

Malformed numeric environment variables cause startup failure during configuration loading. AppConfig.from_env() performs direct int() and float() conversions on environment variables before configuration validation is executed.

As a result, invalid values such as:

$env:WAGGLE_RATE_LIMIT_RPM="abc"

or

$env:WAGGLE_HYBRID_VECTOR_WEIGHT="abc"

cause raw Python ValueError exceptions during startup instead of being surfaced through Waggle's

Read the thread · 2026-06-08 · closed · outside contributor · 4 comments

bug(networking): socket_recv assumes recv(4) returns the full TCP length header

Summary

Summary

socket_recv() assumes that a single recv(4) call will always return the complete 4-byte TCP length header. TCP does not guarantee this behavior, and fragmented reads can cause struct.unpack() to fail when fewer than 4 bytes are returned.

Steps to reproduce

Steps to reproduce

  1. Open src/rlm/core/comms_utils.py
  2. Locate socket_recv()
  3. Observe that the length header is read using:
raw_len = sock.recv(4)
length = struct.unpack(">I", raw_

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/269) · 2026-06-06 · open · external user · 5 comments

### Most recent

### [bug] ImportError: cannot import name 'request_ctx' from mcp.server.lowlevel.server on fresh install (waggle-mcp 0.0.1, mcp 2.1.1)

### Summary

Running `waggle --help` immediately after a fresh pip install crashes with an ImportError. waggle/server.py imports `request_ctx` from 
`mcp.server.lowlevel.server`, but this name does not exist in mcp 2.1.1, the version currently resolved by pip when installing waggle-mcp. The CLI is completely unusable out of the box for new users.

### Steps to reproduce

1. pip install waggle-mcp
2. waggle --help
3. Observe ImportError instead of the expected help output

### Expected behavior

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/704) · 2026-08-28 · open · external user · 1 comment

### [Feature] Add a Scroll-to-Top button for improved navigation

### Problem or use case

Users reading long documentation pages or navigating through the website need to manually scroll back to the top after reaching the bottom. This can become inconvenient as more content is added and affects the overall browsing experience.

A built-in scroll-to-top button would provide quicker navigation and improve usability.

### Proposed solution

Add a floating "Scroll-to-Top" button that appears once the user scrolls beyond a certain distance.

### Expected behavior

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/563) · 2026-07-14 · closed · outside contributor · 2 comments

### [bug] Neo4j _next_transcript_turn_index ignores project/agent_id — turn-index collisions across scopes

## Summary
The Neo4j backend computes the next transcript `turn_index` from only `tenant_id` + `session_id`, while the SQLite backend also scopes by `project` and `agent_id`. When the same `session_id` is reused across different projects/agents within a tenant, Neo4j assigns colliding `turn_index` values, whereas SQLite keeps per-(session, project, agent) sequences.

## Evidence
- Neo4j: `src/waggle/neo4j_graph.py:3512` `_next_transcript_turn_index(self, session, *, session_id)` runs `MATCH (t:M

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/562) · 2026-07-11 · open · external user · 2 comments

### [bug] abhi namespaced import leaves context_window_edges dangling (window IDs not remapped)

## Summary
When importing a `.abhi` document with a non-empty `namespace`, node, edge, transcript, and context-window IDs are all remapped via `_namespace_id`/`node_id_map`, but `context_window_edges` are copied verbatim. Their `source_window_id`/`target_window_id` still reference the **original** (un-namespaced) window IDs, so every cross-window edge dangles after import.

## Evidence
- `src/waggle/abhi.py` import path remaps:
  - nodes: `node_id_map` (lines ~1771–1774)
  - edges: `source_id`/`

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/561) · 2026-07-11 · open · external user · 2 comments

### [bug] abhi merge: resolve_abhi_conflict always raises — conflict_records never persisted to merged manifest

## Summary
After a three-way `.abhi` merge produces conflicts, `resolve_abhi_conflict` cannot resolve any of them because the merged document's manifest never contains the `conflict_records` list. Every call raises `ConflictResolutionError("No conflict records found in merged document.")`, making post-merge interactive conflict resolution permanently unusable.

## Evidence
- `merge_abhi_documents` (`src/waggle/abhi.py:1262`) collects conflicts into a local `conflict_records` list (lines 1296, 13

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/560) · 2026-07-11 · open · external user · 2 comments

### [bug] Neo4j backend ignores temporal validity (valid_to) — returns expired/superseded nodes

## Summary
The SQLite backend enforces temporal validity by default (it drops nodes whose `valid_to` has passed, unless `include_invalidated=True`/`as_of` is given). The Neo4j backend never applies this filtering, so `query`, `aggregate`, `get_related`, and `tiered_query` return expired/superseded nodes that SQLite would hide — a silent correctness divergence between the two documented backends.

## Evidence
- SQLite applies validity filtering in `src/waggle/graph/base.py` (`_filter_valid_nodes`

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/559) · 2026-07-11 · open · external user · 2 comments

### [bug] Neo4j backend: query_graph/aggregate_graph/transcript listing crash with TypeError (missing expand_depth/include_invalidated/as_of/offset)

## Summary
When Waggle runs with `WAGGLE_BACKEND=neo4j`, the core retrieval tools `query_graph` / `aggregate_graph` and the `GET /transcripts` HTTP endpoint raise `TypeError` because the Neo4j backend methods do not accept keyword arguments that the server always passes and that the SQLite backend accepts.

## Evidence
- `src/waggle/neo4j_graph.py:1522` — `query()` signature is `(*, query, max_nodes, max_depth, agent_id, project, session_id, retrieval_mode)` and **lacks** `expand_depth`, `includ

[Read the thread](https://github.com/Abhigyan-Shekhar/Waggle-mcp/issues/558) · 2026-07-11 · open · external user · 2 comments

[See all 22 reports Pod holds for io.github.Abhigyan-Shekhar/Waggle-mcp](/mcp/io-github-abhigyan-shekhar-waggle-mcp/issues) — of 45 qualified upstream.

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- 45 problems reported from outside the maintainer team
- No tool list published — Pod has not verified what it exposes
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